18
Journal of Experimental Psychology: Learning, Memory, and Cognition 2001, Vol. 27, No. 1,99-116 Copyright 2001 by the American Psychological Association, Inc. O278-7393/O1/S5.O0 DOI: 10.1037//0278-7393.27.1.99 Proper-Name Processing: Are Proper Names Pure Referencing Expressions? Jarrod Hollis and Tim Valentine Goldsmiths College, University of London Theoretical models of proper-name processing have been primarily derived from studies of people's names; however, they are thought to generalize to all classes of proper name. Five experiments are reported that use repetition priming to compare different classes of proper names. It was found that for people's names and landmark names, (a) production of a name in response to seeing a picture primed a subsequent familiarity decision to the same item's written name and (b) similarly, making a familiarity decision to an auditory presentation of a name primed a familiarity decision to the same item's written name. No comparable facilitation was found for the country-name stimuli. The presence of this specific facilitation was attributed to the nature of connectivity between conceptual and lexical representations. Theoretical views that proper names are unique, meaningless labels and that they are pure referencing expressions are evaluated. In comparison to common names, people's names are difficult to learn and remember (e.g., Burke, MacKay, Worthley, & Wade, 1991; Cohen, 1990). People's names can also show a selective sparing of comprehension and a selective deficit in production after neurological damage (see Bre'dart, Brennen, & Valentine, 1997, for a review). Furthermore, people's names evince a differ- ent pattern of long-term priming phenomena compared with com- mon names (Valentine, Hollis, & Moore, 1998). Traditionally, the processing characteristics associated with proper names have been attributed to the idea that proper names are unique and meaning- less labels (see Burton & Bruce, 1992; Cohen & Burke, 1993) or that proper names are conceptually specific, concrete labels from a subordinate level of a conceptual hierarchy (Durso & O' Sullivan, 1983; Tranel, Damasio, & Damasio, 1997). However, factors such as uniqueness, meaningfulness, and conceptual specificity are dif- ficult to define and quantify. Indeed, they have the potential to vary at both a semantic and a lexical level and depend on the subcategory of the proper name in question. Therefore, simple explanations such as uniqueness and meaningfulness cannot ade- quately characterize proper-name processing when one considers categories other than people's names. Valentine, Brennen, and Br6dart (1996) produced a theoretical model that incorporates the notion of uniqueness and meaningful- ness while detailing the processing differences of common names and proper names. In this respect, empirical evidence provides Jarrod Hollis and Tim Valentine, Department of Psychology, Gold- smiths College, University of London, London, United Kingdom. This research was supported by a research grant from the Department of Psychology, Goldsmiths College, University of London. We thank Glyn Humphreys for providing the impetus for Experiment 5 and also Karen Littleton, James Bartlett, and the reviewers for their helpful comments on earlier versions of this article. Correspondence concerning this article should be addressed to Jarrod Hollis, who is now at Psychology Discipline, The Open University, Walton Hall, Milton Keynes MK7 6AL, United Kingdom. Electronic mail may be sent to [email protected]. support for Valentine et al.'s model where other models would fail to provide a comprehensive explanation (Valentine et al., 1998 for a review). The model has been developed from theories of face recognition (e.g., Bruce & Young, 1986; Burton, Bruce, & Johnston, 1990) but is also compatible with models of speech production, having a single lexicon mediating lexical access during speech production and word identification (Roelofs, 1992). Figure 1 depicts Valentine et al.'s (1996) model. The architec- ture remains as per the original publication. However, because the experiments reported here involve a number of different categories of proper name, it is more appropriate to use the term "token marker" in place of PIN (person identity node) and "type and token recognition units" in place of face recognition units and object recognition units, respectively. In accordance with models of speech production, lexical repre- sentations are separate from the representation of conceptual knowledge. Lexical representations appear in two forms: lemmas and lexemes. Lemmas are considered to be the first stage of lexical access and are abstract representations that code both conceptual and syntactic (but not phonological) properties of the lexical entry (Kempen & Huijbers, 1983; Levelt, 1989). Access to the lemma and the connectivity between the lemma and nonlinguistic conceptual knowledge is the key issue addressed in the experiments reported here. According to Valentine et al. (1996), access to a lemma from an image representation operates by the conceptual system. However, the processing route to the lemma differs depending on the nature of identity. In line with models of face recognition, lemmas for people's names must be specified by a particular token or address in the conceptual mem- ory system. In terms of models of face recognition, this token address in memory has been termed the "person identity node" (PIN). The PIN plays the role of a token marker serving as an amodal gateway to the conceptual system, allowing access to identity-specific conceptual information for each known person. The PIN (token marker) can, therefore, be viewed as the sole point of access to and from the conceptual system for the unique referent that it represents. 99

Proper-Name Processing: Are Proper Names Pure Referencing Expressions?

  • Upload
    others

  • View
    10

  • Download
    0

Embed Size (px)

Citation preview

Journal of Experimental Psychology:Learning, Memory, and Cognition2001, Vol. 27, No. 1,99-116

Copyright 2001 by the American Psychological Association, Inc.O278-7393/O1/S5.O0 DOI: 10.1037//0278-7393.27.1.99

Proper-Name Processing:Are Proper Names Pure Referencing Expressions?

Jarrod Hollis and Tim ValentineGoldsmiths College, University of London

Theoretical models of proper-name processing have been primarily derived from studies of people'snames; however, they are thought to generalize to all classes of proper name. Five experiments arereported that use repetition priming to compare different classes of proper names. It was found that forpeople's names and landmark names, (a) production of a name in response to seeing a picture primed asubsequent familiarity decision to the same item's written name and (b) similarly, making a familiaritydecision to an auditory presentation of a name primed a familiarity decision to the same item's writtenname. No comparable facilitation was found for the country-name stimuli. The presence of this specificfacilitation was attributed to the nature of connectivity between conceptual and lexical representations.Theoretical views that proper names are unique, meaningless labels and that they are pure referencingexpressions are evaluated.

In comparison to common names, people's names are difficultto learn and remember (e.g., Burke, MacKay, Worthley, & Wade,1991; Cohen, 1990). People's names can also show a selectivesparing of comprehension and a selective deficit in productionafter neurological damage (see Bre'dart, Brennen, & Valentine,1997, for a review). Furthermore, people's names evince a differ-ent pattern of long-term priming phenomena compared with com-mon names (Valentine, Hollis, & Moore, 1998). Traditionally, theprocessing characteristics associated with proper names have beenattributed to the idea that proper names are unique and meaning-less labels (see Burton & Bruce, 1992; Cohen & Burke, 1993) orthat proper names are conceptually specific, concrete labels froma subordinate level of a conceptual hierarchy (Durso & O' Sullivan,1983; Tranel, Damasio, & Damasio, 1997). However, factors suchas uniqueness, meaningfulness, and conceptual specificity are dif-ficult to define and quantify. Indeed, they have the potential tovary at both a semantic and a lexical level and depend on thesubcategory of the proper name in question. Therefore, simpleexplanations such as uniqueness and meaningfulness cannot ade-quately characterize proper-name processing when one considerscategories other than people's names.

Valentine, Brennen, and Br6dart (1996) produced a theoreticalmodel that incorporates the notion of uniqueness and meaningful-ness while detailing the processing differences of common namesand proper names. In this respect, empirical evidence provides

Jarrod Hollis and Tim Valentine, Department of Psychology, Gold-smiths College, University of London, London, United Kingdom.

This research was supported by a research grant from the Department ofPsychology, Goldsmiths College, University of London.

We thank Glyn Humphreys for providing the impetus for Experiment 5and also Karen Littleton, James Bartlett, and the reviewers for their helpfulcomments on earlier versions of this article.

Correspondence concerning this article should be addressed to JarrodHollis, who is now at Psychology Discipline, The Open University, WaltonHall, Milton Keynes MK7 6AL, United Kingdom. Electronic mail may besent to [email protected].

support for Valentine et al.'s model where other models would failto provide a comprehensive explanation (Valentine et al., 1998 fora review). The model has been developed from theories of facerecognition (e.g., Bruce & Young, 1986; Burton, Bruce, &Johnston, 1990) but is also compatible with models of speechproduction, having a single lexicon mediating lexical access duringspeech production and word identification (Roelofs, 1992).

Figure 1 depicts Valentine et al.'s (1996) model. The architec-ture remains as per the original publication. However, because theexperiments reported here involve a number of different categoriesof proper name, it is more appropriate to use the term "tokenmarker" in place of PIN (person identity node) and "type and tokenrecognition units" in place of face recognition units and objectrecognition units, respectively.

In accordance with models of speech production, lexical repre-sentations are separate from the representation of conceptualknowledge. Lexical representations appear in two forms: lemmasand lexemes. Lemmas are considered to be the first stage of lexicalaccess and are abstract representations that code both conceptualand syntactic (but not phonological) properties of the lexical entry(Kempen & Huijbers, 1983; Levelt, 1989).

Access to the lemma and the connectivity between the lemmaand nonlinguistic conceptual knowledge is the key issue addressedin the experiments reported here. According to Valentine et al.(1996), access to a lemma from an image representation operatesby the conceptual system. However, the processing route to thelemma differs depending on the nature of identity. In line withmodels of face recognition, lemmas for people's names must bespecified by a particular token or address in the conceptual mem-ory system. In terms of models of face recognition, this tokenaddress in memory has been termed the "person identity node"(PIN). The PIN plays the role of a token marker serving as anamodal gateway to the conceptual system, allowing access toidentity-specific conceptual information for each known person.The PIN (token marker) can, therefore, be viewed as the sole pointof access to and from the conceptual system for the unique referentthat it represents.

99

100 HOLLIS AND VALENTINE

pictorial input

token recognitionunits

type recognitionunits

token markers(PINs)

conceptualsystem

lemmas

phonologicaloutput

(lexemes)

phonetic plan

articulation

naming response

Name or word /name or word/

inputcode

visual word

recognition units

orthographic-phonologicalconversion

inputcode

auditory word

recognition units

Token recognition unit Type recognition unit

• George Bush

Bush

Tokenmarker

Conceptual

System

George Bush

Lemmas

Figure 1. A model of proper-name processing. PINs = personal identity nodes. From The Cognitive Psychol-ogy of Proper Names: On the Importance of Being Ernest (p. 172), by T. Valentine, T. Brennen, and S. Br6dart,1996, London: Routledge. Copyright 1996 by Routledge. Adapted with permission.

PROPER-NAME PROCESSING 101

For people's names, the token marker also serves to link theconceptual system with lexical representations. Access from a facerepresentation to a person's name can only be achieved by thissingle link from the token marker to the lemma that represents thename. Therefore, the role of the PIN in the processing of propernames is the aspect of representation that captures pure reference.

In contrast, lemmas for common names access conceptual mem-ory directly by a diffuse network of multiple connections ratherthan a single link. This connectivity captures the fact that commonnames have many conceptual relations. Hence, the connectivitybetween the conceptual system and the lexical representations aredifferent for proper names and common names. Consequently, therole of the token marker captures the difference between thecognitive processing of people's names and common names (seeValentine et al., 1996).

A number of predictions can be derived from the architecturedepicted in Figure 1. First, it is necessary to specify the assump-tions that underlie the specific predictions made.

The first assumption is that familiarity decisions are based onthe activity of the node that directly accessed the conceptualsystem. Familiarity decisions made to people's faces and people'snames are based on activation of a PIN, whereas lexical decisionsare based on the activation of lemmas. This follows assumptionsmade by Burton et al. (1990) with their connectionist style imple-mentation of face processing models. This difference occurs be-cause of the nature of the decision and the stimulus. To makedecisions regarding person attributes, identity-specific conceptualinformation is required. According to models of face recognition,this information is accessed only by a person identity node (PIN).In contrast, a lexical decision can be made at the lemma, becausethis decision simply requires a check as to whether a word existsin the lexicon.

The second assumption is that repetition priming occurs as anincrease in connection strength (also known as connection weight)resulting from activation passing between the different processingmodules (these modules are represented by boxes in Figure 1).This interpretation of repetition priming was proposed by Burtonet al. (1990); Monsell, Matthews, and Miller (1992); and Vitko-vitch and Humphreys (1991).

Third, all connection weights are assumed to be bidirectional.Thus, connection strength is equal regardless of the direction inwhich activation passes through the link (see Burton et al., 1990).

One finding is that people's names evince a different pattern oflong-term repetition priming phenomena compared with commonnames (Valentine et al., 1998). These differences arise from therole of the token marker in mediating the recognition of people'sfaces and names. The first prediction is that repetition priming ofa name familiarity decision to people's names should cross stim-ulus modality. Valentine et al. (1998) provided empirical evidencethat supported the predictions of cross-modality repetition primingof people's names. Experiments showed that people's names pro-duced facilitation from an auditory name familiarity decision to avisual name familiarity decision. The magnitude of this cross-modal facilitation was similar to within-modality priming. Cross-modality priming did not occur when common names were pre-sented in a lexical-decision task. The model accounts for cross-modal facilitation for people's names as follows: To make afamiliarity decision to a person's name successfully, one mustaccess the identity representation (i.e., processing must access the

token marker from the lemma). This identity information is re-quired irrespective of the modality of presentation. Repetitionpriming is assumed to arise from strengthening a connection that isused in both the prime and the test tasks. Hence, facilitation froman auditory presentation to a visual presentation of a person'sname occurs. In contrast, no such cross-modality facilitation oc-curs for words presented as a lexical-decision task. The lexical-decision task requires access only to the lemma and does notrequire access to a token maker (no identity-specific information isrequired to make the decision). Processing that occurs before thelemma access (i.e., from the name recognition units to the lemma)is modality specific. Because there are no processing pathways incommon to auditory and visual lexical decision, no cross-modalfacilitation is found for lexical decision to common names.

A second prediction was that production of a person's name inresponse to seeing a famous face should prime recognition of thesame person's name. Valentine et al. (1998) also found that par-ticipants who had produced the names of famous people showedfacilitation of a subsequent name familiarity decision task. Thedegree of facilitation was as great as that found when a visualname familiarity decision to people's names was repeated duringthe prime and test phases of the experiment. Processing by thehighly specific token marker-lemma linkage is required for tasksinvolving person identity (such as name familiarity decision andface naming). During the face naming task, activation must flowbetween the relevant token recognition unit to the appropriatelemma by means of the token marker. Both face naming and namefamiliarity decision require access to the token marker during theprime phase and the test phase to make the decision successfully;consequently, the model predicts facilitation in an abstractionist(item-specific) fashion for people's names. Note that the assump-tion of a single connection weight for a bidirectional token marker-lemma link is required for this interpretation.

An alternative set of predictions emerge for the processing ofcommon names. A lexical decision to common name stimuli is notprimed by prior naming of an object picture. Naming a picture ofan object requires activation to flow between a type recognitionunit to the lemma by the conceptual system. However, it is im-portant to remember that for common names, the connectivitybetween the conceptual system and the lemma involves multiple,diffuse connections and does not require mediation using a tokenmarker. Furthermore, a lexical decision is made at the level of thelemma and does not require access to the conceptual system or atoken marker. If activation were to pass into the conceptual sys-tem, the complex multiple links would diffuse any activation thatmight exist. Therefore, processing during the prime and test phasesdoes not involve any specific connections that are common to bothtasks; thus, no facilitation occurs for common names during lexicaldecision after picture naming. Another detailed account of themodel by Valentine et al. (1996), together with its assumptions,and predictions can be found in Valentine et al. (1998).

The apparent differences in cross-modal and cross-domain rep-etition priming for people's names and common names are ofparticular interest because changes to the nature of the task or themodality of presentation between training and test have often beenfound to reduce or eliminate facilitation for indirect tests of mem-ory (Jacoby & Dallas, 1981; Scarborough, Gerard, & Cortese,1979). There are cases in which facilitation has been shown tocross both stimulus domain and stimulus modality in tasks that tap

102 HOLLIS AND VALENTINE

explicit memory for common names (e.g., from words to pictures).Park et al. (1998) found facilitation to transfer between words andpictures in which the test measure involved explicit recognitionrather than an indirect test of memory. It is generally agreed thatthe presence of cross-modal and cross-modality facilitation de-pends on the nature of the experimental task and the extent towhich the experimental tasks involve a direct test of memory orconceptual processing (e.g., K. Kirsner & Smith, 1974; M. Kirsner,Milech, & Standen, 1983; Thompson-Schill & Gabrieli, 1999).The presence of cross-modal and cross-domain facilitation canalso be attributed to episodic mediation, particularly when theexperimental presentation involves a high degree of repetition(Jacoby & Dallas, 1981; Roediger & Blaxton, 1987). The exper-iments reported here were designed to minimize the influence ofepisodic retrieval by keeping the proportion of repeated itemssmall and using a large number of filler items. This keeps theparticipant's awareness of the repetition to a minimum and rendersepisodic recall a poor strategy for completing the test task. Thechoice of experimental task is also an important consideration. Theprocessing demands are minimized to produce fast responses tothe unprimed items. These conditions are considered to minimizethe influence of episodic retrieval, and so that the patterns of dataobserved are unlikely to be attributable to an episodic account(Weldon, 1991; Wheeldon & Monsell, 1992).

The aim of this research was to determine whether the previousfindings of Valentine et al. (1998) obtained with people's namescould be replicated and extended to other classes of proper name.If it is the role of the token marker that is the critical factor indetermining the pattern of cross-modality and cross-domain facil-itation, then this result should be found with other classes of propernames. In these experiments, contrast is made between the long-term priming of people's names, landmark names, and countrynames (proper names) with object names (common names).

Experiments 1 to 3 used a cross-modal repetition priming par-adigm. Experiment 1 aimed to investigate three categories ofproper names: people's names, landmark names, and countrynames. In the prime phase, names were presented in either thevisual or auditory modality. In keeping with the study by Valentineet al. (1998), proper name stimuli were presented in a namefamiliarity decision task. These tasks were compared with a task inwhich a lexical decision was made to common names. The meth-odology and rationale were analogous to Valentine et al.'s (1998)study of people's names. Experiment 2 was designed to determinewhether the presence of cross-modality priming could be attributedto an effect of word frequency. Experiment 3 explored cross-modality priming for names of basic and subordinate level con-cepts to explore the role of the specificity of common names.

Experiments 4 and 5 investigated facilitation of a name famil-iarity decision from a prime task that required name production.Experiment 4 compared the facilitation of a name familiaritydecision task from a prime task involving name production, apicture familiarity decision, or a name familiarity or lexical-decision task. The methodology and rationale were adapted fromValentine et al.'s (1998) study of people's names. The aim ofExperiment 4 was to determine whether name production wouldfacilitate the visual recognition of the same items name, for peo-ple's names, landmark names, and country names. Experiment 5attempted to replicate the findings of Experiment 4, when the samepicture was presented for the production of a landmark name or

country name. Once again, facilitation of a name familiarity deci-sion task was observed after the prime task involving nameproduction.

Similar processing for all proper names could be expected if allsubcategories of proper name are considered to have a similarcognitive architecture. Variations in the processing of subcatego-ries of proper name may indicate that differences in their repre-sentational structure exist. A comparison of different categories ofproper name may provide evidence for the role of the token markerfor proper names other than people's names.

Experiment 1

The model by Valentine et al. (1996) predicts that, for people'snames stimuli, cross-modal priming should occur. As explainedearly in this article, this prediction occurs as a result of the natureof connectivity between the token marker and the lemma forpeople's names. Valentine et al. (1998) also predicted that nocross-modality priming should occur when common names arepresented in a lexical-decision task. In this regard, common names(object names) were also included in the current study. Manyauthors used the familiarity decision task as an analogue to thelexical-decision task (Bruce, 1983; Bruce & Valentine, 1985,1986;Bruce & Young, 1986; Ellis, 1982; Valentine, Moore, Flude,Young, & Ellis, 1993). However, we are not assuming the com-patibility of familiarity and lexical-decision task. Rather, the lex-ical decision to object names was included, because Valentine etal. (1996) predicted that no cross-modal facilitation would beobserved for object names presented as a lexical-decision task.This prediction emerges because the processing from name recog-nition units to the lemma are modality specific. There are noprocessing pathways common to both the prime phase and the testphase of the experiment; thus, no cross-modal facilitation is ex-pected for object names presented as a lexical-decision task. Theaim of this experiment was to replicate the cross-modal facilitationfor people's names and determine whether the finding wouldgeneralize to other classes of proper name (names of landmarksand countries).

Method

Participants. A total of 112 participants (27 men and 85 women) tookpart in the experiment. The age of participants ranged from 18 to 50 years(Af = 27 years).

Stimuli. For each noun category, two sets of 9 critical items wereconstructed (Appendix A). There was no significant difference between theword length of the two stimuli sets. In addition, for each noun category 23filler items, 50 unfamiliar items, and 20 practice items were also selected.In respect of people's names, the critical and filler items were names ofwell-known celebrities (e.g., RUBY WAX, MARGARET THATCHER).The unfamiliar items were plausible unfamiliar names (e.g., MARKJONES). For the category of landmarks, the critical items were names offamous landmarks (e.g., BIG BEN, STATUE OF LIBERTY). The nameswere selected from a pilot study in which different participants were askedto name a series of famous landmarks. The most reliable items wereselected as critical items in the present study. Additional items were chosenas filler famous (e.g., REGENTS' PARK) and plausible unfamiliar items(e.g., HARRY'S COLUMN, STATUE OF DAY). In respect of countrynames, the critical and filler items were names of well-known countries

PROPER-NAME PROCESSING 103

(e.g., SPAIN, FRANCE). As before, a set of pronounceable unfamiliarnames were formed (e.g., NOBLELAND, CETTIUS, GALLAPORT).

For the lexical-decision task with common names, the critical and filleritems were names of familiar objects (e.g., BUTTERFLY, CANDLE). Aselection of pronounceable nonwords was produced to act as unfamiliaritems (e.g., GORMIL, FAMERN).

Apparatus. For the visual presentations, stimuli were presented on thescreen of an IBM-compatible computer. The experiment was producedusing Micro Experimental Laboratory (MEL2), which records responseswith millisecond accuracy. The participants' responses were recordedusing keypresses on the keyboard. For the auditory presentation of theprime task, stimuli were presented in random order using headphones froma cassette tape recorder. The participant made a response by pressing oneof two keys on a handheld response box. An LED indicator enabled theexperimenter to monitor the accuracy of the responses, which were re-corded manually.

Design. The experiment had a mixed design with three factors: primetask modality (visual, auditory), and noun category (people, landmarks,countries, objects) were between-participants factors. The effect of priming(primed, unprimed) was a within-participants factor. There were two setsof nine critical items for each category of noun. One of these sets appearedin both the prime phase and the test phase. Responses to these items formedthe data for the primed items. The other set of nine critical items appearedonly in the test phase. Responses to these items formed the data for theunprimed (control) items. With the exception of the primed items, no otheritems were repeated between prime and test. The assignment of items to theprimed and unprimed conditions was counterbalanced across participantsfor each experimental condition.

The experiment consisted of two phases: a prime phase and a test phase.All participants carried out their decision with a single category of stimuliduring both the prime phase and the test phase. Each participant receiveda prime phase in either the visual or the auditory modality, followed by atest phase. All participants received the test phase in the visual modality.There were 28 participants for each noun category: 14 received the visuallypresented prime task, and 14 received the auditory presented prime task.

Procedure. Participants were assigned to one of the four noun categorygroups (people, landmarks, countries, objects). Participants who receivedthe people's names, landmark, and country name stimuli were required toperform a familiarity decision. Participants who received the object nameswere required to perform a lexical decision. In each case, participantsreceived a prime phase followed by a test phase; however, they were notinformed that the experiment consisted of two stages. Before eachphase, 10 practice trials were given. The prime phase consisted of a totalof 50 stimuli (9 primed critical items, 16 filler famous items, and 25unfamiliar items). For the visual presentations, each trial consisted of a250-ms tone followed after 500 ms by presentation of the stimulus inuppercase 14-point Arial font in the center of the visual display. Theparticipants' response terminated the display of the stimulus. Each partic-ipant saw a different random order of stimuli and was required to make adecision as quickly and as accurately as possible. For the auditory primephase, stimuli were presented using headphones from a cassette taperecorder. Two different random orders of stimuli were constructed for eachset of primed and unprimed items. In each trial, a name was presented, andparticipants were instructed to make a decision by pressing yes or no on thekeyboard. Participants were instructed to respond as quickly and as accu-rately as possible. The experimenter recorded the accuracy of the partici-pants' responses manually.

The test phase consisted of 50 stimuli (9 critical items [primed], 9control items [unprimed], 7 filler famous items, and 25 unfamiliar items)and was presented visually to all participants. Only the 9 critical (primed)items were repeated between the prime phase and the test phase of theexperiment. The procedure and presentation were the same as in thevisually presented prime phase.

Results

Responses to the nine critical primed and unprimed items madeduring the test phase were analyzed. A response to an item wasincluded in the analyses only if the correct response was given inboth the prime and the test phases. The accuracy and response time(RT) are given in Table 1. A proportional facilitation score wascalculated for each data point (unprimed response time — primedresponse time/unprimed response time). The proportional facilita-tion scores are plotted as a function of noun type and prime taskmodality in Figure 2.

The raw data for each noun group were subjected to analysis ofvariance (ANOVA) separately, with repeated measures on thepriming factor and prime task modality as a between-participantsfactor (identified by the subscript 1) and also analyzed by itemwith priming and task as a within-items factor (identified with thesubscript 2).

For the category of people's names, the main effect of primetask modality was significant only in the by-items analysis F,(l,26) = 2.62, p = .11, F2(l, 17) = 13.64,/> < .01. Responses afterthe auditory presented prime task were generally slower than thoseafter the visually presented prime task. This can be explainedsimply as an effect of practice. There was a significant main effectof priming, F,(l, 26) = 24.88, p < .01, F2(l, 17) = 20.44, p <.01, confirming that response times were generally faster to theprimed items than to the unprimed items. Simple main effectsindicated that significant priming occurred after both the visuallypresented prime task, F,(l, 26) = 10.76, p < .01, F2(l,17) = 19.13, p < .01, and after the auditory presented prime task,F,(l, 26) = 14.24, p < .01, F2(l, 17) = 8.82, p < .01.

For the category of landmark names, the main effect of primetask modality was significant, F ^ l , 26) = 6.15, p = .11, F2(l,17) = 13.64, p < .01. This suggests that responses after theauditory presented prime task differed from those after the visuallypresented prime task. There was a significant main effect ofpriming, Fj(l, 26) = 24.88, p < .01, F2(l, 17) = 20.44,p < .01,confirming that response times were faster to the primed itemsthan to the unprimed items. The interaction between prime task

Table 1Mean Reaction Times (RTs) and Response Accuracyfor Experiment 1

Familiarity Decision

People's namesVisual—visualAuditory-visual

Landmark namesVisual-visualAuditory—visual

Country namesVisual-visualAuditory-visual

Lexical decision: object namesVisual—visualAuditory-visual

RT

638730

641585

518566

536645

Primed

Accuracy

8.08.1

7.87.9

8.48.8

6.58.4

Unprimed

RT

729835

756653

572562

577616

Accuracy

8.17.7

7.47.4

8.88.9

6.08.7

Note. Reaction time is measured in milliseconds. Response accuracy isbased on a total of 9.

104 HOLLIS AND VALENTINE

D auditory

• visual

-0.2

people landmarks countries objects

Figure 2. Mean proportional facilitation in reaction time to decision during test phase as a function of primetask modality and noun category. Error bars indicate the 95% confidence interval for the effect of prime taskmodality.

modality and priming was not significant, F,(l , 26) = 1.60, p =.21, F2(l, 17) = 2.39, p = .14. Because the experimental hypoth-eses concerned the interaction, simple main effects were used toexplore further. Significant priming occurred after the visuallypresented prime task, F,(l , 26) = 14.18, p < .01, F2(l,17) = 34.01, p < .01 and after the auditory presented prime task,F,(l, 26) = 3.89, p < .05, F2(l, 17) = 14.75, p < .01.

For the category of country names, the main effect of prime taskmodality was not significant, F,(l , 26) < 1, F2(l, 17) = 1.17, p =.29. Response times were similar after the different prime tasks.There was a significant main effect of priming, F,(l, 26) = 4.63,p < .05, F2(l, 17) = 8.64, p < .01, confirming that response timesto the primed items differed from those to the unprimed items. Theinteraction between prime task modality and priming was signif-icant, F,(l , 26) = 6.33, p < .01, F2(l, 17) = 5.30, p < .05.Because the experimental hypotheses concerned the interaction,simple main effects were used to explore further. Significantpriming occurred after the visually presented prime task, F,(l,26) = 10.90, p < .05, F2(l, 17) = 12.39, p < .01. However, nosignificant priming occurred after the auditory presented primetask, FiU, 26) < 1, F2(l, 17) < 1.

For the category of object names presented for lexical decision,the main effect of prime task modality was significant in theby-items analysis, F,(l, 26) = 3.46, p = .07, F2(l, 17) = 7.03,p < .01. Responses after the auditory prime task were slower thanthose after the visually presented prime task. Once again this effectcan be attributed to practice. The main effect of priming was notsignificant, F,(l, 26) < 1, F2(l, 17) < 1. The interaction betweenprime task modality and priming was significant in the by-participant analysis, F,(l, 26) = 6.91, p < .01, F2(l, 17) = 2.65,p = .12. Because the experimental hypotheses concerned theinteraction, simple main effects were used to explore further.Significant priming occurred after the visually presented primetask in the by-participant analysis, F,(l , 26) = 4.72, p < .05, F2(l,

17) = 1.67, p = .21. No significant priming occurred after theauditory presented prime task, F,(l, 26) = 2.38, p = .13, F2(l,17) < 1.

Analyses of the raw reaction times for the auditory prime taskalone were carried out, taking participants as the random factorwith noun category as a between-participants comparison and theeffect of priming as a within-participants factor (identified by thesubscript 1). An analysis was also carried out, taking items as therandom factor (identified by the subscript 2). The interactionbetween noun category and priming was significant, F,(3,52) = 9.16, p < .01, F2(3, 68) = 6.15, p < .01. Simple maineffects were used to explore the interaction. There was a signifi-cant effect of priming for people's names, F,(l , 52) = 21.00, p <.01, F2(l, 68) = 12.77, p < .01, and landmark names, F,(l,52) = 18.92, p < .01, F2(l, 68) = 13.93, p < .01. However, theeffect of priming was not significant for country names or objectnames (all Fs < 1). Parallel analyses were performed withANOVA using the proportional scores and showed an analogouspattern of results that supported our interpretation of the data.

Discussion

Experiment 1 aimed to test the hypothesis that proper nameswould produce cross-modal facilitation from a name familiaritydecision presented in the auditory modality to a name familiaritydecision presented in the visual modality. A further prediction wasthat the facilitation produced in the cross-modal presentationwould be equivalent to that from a within-modality prime presen-tation. These hypotheses were supported for the categories ofpeople's names and landmark names. Further comparisons deter-mined that cross-modal facilitation did not occur for commonnames of everyday objects when presented for a lexical decision.In contradiction of the experimental hypothesis, no cross-modalfacilitation was found for country names.

PROPER-NAME PROCESSING 105

To account for the lack of cross-modal priming for countrynames, one needs to consider the connectivity between the lemmaand the conceptual system. Country names are likely to have adiffuse connectivity, from the lemma directly to the conceptualsystem because of the many associations of country names. Thefact that they can be used as adjectives as well as nouns is evidenceof such associations. In short, country names have sense and thusare not pure referencing expressions. In this case, country nameswould not be represented with a token marker. Therefore, a famil-iarity decision to a country name would depend on access to theconceptual system rather than a token marker, with activationpassing from the lemma to the conceptual system directly usingdiffuse links. The spread of activation would be similar to thatfound when common names are presented for decision; hence, nocross-modality facilitation would be found or expected. This in-terpretation suggests that there are limitations for the view that allproper names are pure referencing expressions and are mediatedby a token marker in memory.

There were differences in the unprimed baseline for makingfamiliarity decisions. The unprimed response times for people'sname and landmark name stimuli were larger than those for thecountry name and object stimuli. There are a number of explana-tions for these differences. First, the model predicts that items thatrequire processing using the token marker would have longerprocessing times than those that access the conceptual systemdirectly. This is because access to the token marker involves anextra processing stage. Indeed, differences in unprimed baselinecondition have been found for lexical decisions to common namesand in previous studies that have used name familiarity decisionsto people's names (e.g., Valentine et al., 1993). Second, differ-ences in baseline can be attributed simply to an effect of wordlength. People's names and landmark names are longer than thecountry and object names (Appendix A).

One potential confound that requires careful consideration isword frequency of the different categories of noun. We argue thatit is unlikely that the cross-modality facilitation found with peo-ple's names and landmark names occurs as an artifact of namefrequency. The people's names and landmark name stimuli used inthese experiments were chosen from a selection of picture itemsthat participants were able to name spontaneously. Therefore, theexperimental items must be relatively high in familiarity andfrequency in order for the participants to have performed the tasksuccessfully. Furthermore, it is simply not possible to equate thefrequency of items between the different noun groups. First, peo-ple's names and names of landmarks are lexical compounds whosemembers are often highly familiar, frequent words (such asTOWER, BRIDGE, PALACE). In attempting to establish thefrequency of these items, one must take into account both membersof the compound. Therefore, establishing frequency for theselexical entries cannot be achieved in the same way as for commonnames. Nevertheless, the issue of frequency needs to be addressedfurther. Repetition effects have been found to be influenced byfrequency for common words that are presented visually when theprime and test phase presentations are conducted within the samemodality. In studies with common name stimuli, an advantage forlow-frequency words has been found (e.g., Kinoshita, 1995; Scar-borough, Cortese, & Scarborough, 1977). However, an interactionbetween prime modality and the effect of word frequency has notbeen demonstrated. The possibility that differences in word fre-

quency were responsible for the cross-modal facilitation was ad-dressed in Experiment 2.

Experiment 2

We investigated common names derived from categories of highand low frequency. It might be argued that people's names andnames of landmarks are labels of lower frequency and familiaritycompared with country names and object names. To test whetherthese differences could account for the presence of priming aftercross-modality presentation, very low-frequency names were com-pared to a set of very high-frequency names using the cross-modalmethodology. If frequency and familiarity were responsible for thecross-modality priming found in Experiment 1, then differences inpriming would be expected when very low- and very high-frequency words are directly compared. In contrast, if the findingsof Experiment 1 occurred because of effects of word frequency,then significant cross-modal facilitation would be expected for thelow-frequency names but not for the high-frequency names.

The design of the experiment was adapted from that of Exper-iment 1. As in the previous experiment, within-modality andcross-modality priming were compared between participants, andthe effect of priming was a within-participant factor. An additionalwithin-participants factor was introduced: word frequency (low,high).

Method

The number of critical stimuli was doubled, so that there were 18 criticalitems in each primed and unprimed set. Half of these items were low-frequency names, and half were high-frequency names. Both sets of nameswere matched for familiarity, concreteness, and word length. The sets oflow-frequency names had a mean frequency of less than 1 occurrence permillion. The sets of high-frequency names had a mean frequency of over500 occurrences per million (Kucera and Francis ratings from the OxfordPsycholinguistic Database; see Appendix B for a list of the critical stimuli).The number of filler and unfamiliar items was increased. In the primephase there were 90 trials: 18 critical items to be primed, plus 27 filleritems and 45 unfamiliar items. In the test phase of the experiment, therewere also 90 trials: 36 critical items (18 primed items, 18 unprimeditems), 9 filler items, and 45 unfamiliar items.

Participants. Twenty-eight participants (6 men and 22 women) tookpart in the experiment. The age of participants ranged from 18 to 50 years(M = 31 years).

Procedure. The apparatus and procedure were the same as in Experi-ment 1. Each phase of the experiment was preceded by 10 practice trials.To try to equate the processing demands of this experiment with theprevious name familiarity decision to proper names, participants wereinstructed to make "a familiarity decision to each item" rather than performa lexical decision.

Results

As in Experiment 1, responses to the nine critical primed andunprimed items made during the test phase were analyzed. Aresponse to an item was included in the analyses only if the correctresponse was given in both the prime phase and the test phase. Theaccuracy and timing of responses are given in Table 2. A propor-tional facilitation score was calculated for each data point(unprimed response time — primed response time/unprimed re-

106 HOLLIS AND VALENTINE

Table 2Mean Reaction Times (RTs) and Response Accuracyfor Experiment 2

Primed Unprimed

Familiarity decision

High-frequency wordsVisual-visualAuditory—visual

Low-frequency wordsVisual-visualAuditory-visual

RT

593598

615659

Accuracy

8.58.5

8.28.8

RT

625575

680667

Accuracy

8.88.7

8.49.0

Note. Reaction time is measured in milliseconds. Response accuracy isbased on a total of 9.

sponse time). The proportional facilitation scores are plotted as afunction of noun type and prime task modality in Figure 3.

An analysis of the raw reaction times was carried out, takingparticipants as the random factor with prime task modality as abetween-participants comparison and the effect of priming andword frequency as a within-participants factor (identified by thesubscript 1) and also taking items as the random factor with theeffects of word frequency as a between-items factor with primingand prime task modality as within-items factors (identified by thesubscript 2).

The main effect of prime task modality was not significant,F,(l, 26) < 1, F2(l, 34) < 1. There was a marginally significantmain effect of priming in the analysis by-participant and a signif-icant effect by item, F,(l, 26) = 3.2, p < .08, F2(l, 34) = 8.70,p < .01, indicating that responses in the "primed" conditions (616ms) were faster than in the "unprimed" conditions (636 ms). Theinteraction between prime task modality and priming was signif-icant, F,(l, 26) = 6.00, p < .02, F2(l, 34) = 4.53, p < .05. Theinteraction between prime task modality and word frequency ap-proached significance in the by-participants analysis and wassignificant in the by-items analysis, F,(l , 26) = 3.56, p = .07,F2(l, 34) = 4.17, p < .05. The interaction between priming andword frequency was not significant by participants but was signif-icant by items, F,(l, 26) = 2.27, p = .14, F2(l, 34) = 5.25, p <.02. The three-way interaction among prime task modality, prim-ing, and word frequency was not significant, F,(l, 26) < 1, F2(l,34) < 1. Simple main effects were used to explore these interac-tions. The effect of priming for high- and low-frequency wordswas of particular interest. There was a significant effect of primingfor low-frequency words after the visually presented prime task,F,(l , 26) = 8.30, p < .01, F2(l, 34) = 20.47, p < .01. There wasa significant effect of priming for high-frequency words after thevisually presented prime task in the items analysis only, F,(l,26) = 1.89, p = .18, F2(l, 34) = 3.93, p < .05. The effect ofpriming was not significant for auditory presented prime task forthe high- or low-frequency words (all Fs < 1.7, allps > .19). Thisconfirmed that neither the high- or low-frequency words producedcross-modality repetition priming. Parallel analyses were per-formed with ANOVA using the proportional scores. These pro-duced an analogous pattern of results, supporting our interpretationof the data.

Discussion

Experiment 2 tested the hypothesis that low-frequency wordswould produce more cross-modal facilitation compared with high-frequency words. An advantage for low-frequency words wasfound for the visually presented prime task. However, no cross-modal facilitation occurred for high- or low-frequency words whenpresented as a familiarity decision task. Therefore, evidence ofword frequency affecting cross-modal presentation was not found.It can, therefore, be concluded that word frequency was unlikely tobe responsible for the cross-modal facilitation found in Experi-ment 1. Because a familiarity decision task was used in Experi-ment 2 and similar results to those obtained with a lexical decisiontask in Experiment 1 were obtained, differences in cross-modalitypriming as a result of task demands can be eliminated.

A further consideration is the conceptual specificity of names. Anumber of authors suggested that people's names occupy thesubordinate level of a conceptual hierarchy, whereas object namesoccupy the base level of a hierarchy (e.g., Durso & O'Sullivan,1983; Tranel et al., 1997). The same argument may be posed fordifferences between landmark names and country names. In Ex-periment 3 we aimed to identify whether conceptual specificitycould be responsible for the differences in cross-modal facilitationfound in Experiment 1.

Experiment 3

We investigated names derived from a conceptual hierarchy.Previously, Durso and O'Sullivan (1983) suggested the character-istics of proper-name processing could be explained in terms of ageneral-specific hypothesis; proper names were conceptually spe-cific compared with common names. Similar proposals have alsoemerged in the neuropsychological literature. Tranel et al. (1997)suggested that hierarchical differences may account for selectivedeficits and sparing of word categories in aphasic patients. To testwhether these differences could account for differences in cross-modal facilitation found in Experiment 1, highly specific dog

0.20-1

0.15-

I 0.10_

aco

I 0.00

I-0.05-

-0.10-

liiil

Visual

Auditory

High Freq. Low Freq.

Figure 3. Mean proportional facilitation in reaction time to decisionduring test phase as a function of prime task modality and word frequency.Error bars indicate the 95% confidence interval for the effect of prime taskmodality. Freq. = frequency.

PROPER-NAME PROCESSING 107

breed names were compared with a set of very general animalnames using the cross-modal methodology. If a high degree ofconceptual specificity is responsible for cross-modality priming,then significant cross-modal facilitation would be expected for thesubordinate dog breed names but not for the general animal names.

Method

As in Experiment 2, within-modality and cross-modality priming werecompared between participants and the effect of priming was a within-participant factor. There was an additional within-participants factor ofname type (specific dog breeds, general animals). The numbers of criticalstimuli remained as in Experiment 2, so that there were 18 critical items ineach primed and unprimed set. Half of these items were dog breed names,and half were animal names (see Appendix C for a list of the criticalstimuli). The number of filler and unfamiliar items were increased accord-ingly (half of the items represented general names and half representedspecific names). In the prime phase there were 90 trials: 18 critical itemsto be primed plus 27 filler items and 45 unfamiliar items. In the test phaseof the experiment there were also 90 trials: 36 critical items (18 primeditems, 18 unprimed items), 9 filler items, and 45 unfamiliar items. Eachphase of the experiment was preceded by 10 practice trials. Participantsmade a familiarity decision in both phases of the experiment. The proce-dure was the same as Experiments 1 and 2.

Participants. Twenty-eight participants (6 men and 22 women) tookpart in the experiment. The age of participants ranged from 18 to 50 years(M = 31 years).

Results

Figure 4 illustrates the mean proportional facilitation for animalnames and dog breed names after within- and cross-modalitypresentation. An analysis of the raw reaction time data was carriedout with ANOVA by participants, taking prime task modality as abetween-participants factor and name type and priming as within-participant factors (identified with the subscript 1; see Table 3 fordata). An analysis by items was also performed, taking prime taskmodality and priming as within-items comparison and name type

0.25

0.20-

cI 0.15^

0.10-

0.05-

0.00.

-0.05.

• Visual

El Auditory

Dogs Animals

Figure 4. Mean proportional facilitation in reaction time to decisionduring test phase as a function of prime task modality and name specificity.Error bars indicate the 95% confidence interval for the effect of prime taskmodality.

Table 3Mean Reaction Times (RTs) and Response Accuracyfor Experiment 3

Familiaritydecision

Dog breed namesVisual—visualAuditory-visual

Animal namesVisual-visualAuditory-visual

RT

571757

542662

Primed

Accuracy

8.18.1

8.68.8

RT

691781

590669

Unprimed

Accuracy

8.28.5

8.88.8

Note. Reaction time is measured in milliseconds. Response accuracy isbased on a total of 9.

as a between-items factor (identified with the subscript 2). Themain effect of prime task modality was significant, Fx(l,26) = 7.80, p < .01, F2(l, 34) = 6.31, p < .01. Responses afterthe auditory prime task were slower (717 ms) than those after thevisually presented prime task (598 ms). Once again, this effect canbe attributed to practice. The main effect of priming was signifi-cant, F,(l , 26) = 13.95, p < .01, F2(l, 34) = 20.48, p < .01.Responses in the "primed" condition were faster (633 ms) thanthose in the "unprimed" condition (682 ms). There was a maineffect of name type, F,(l, 26) = 57.62, p < .01, F2(l, 34) = 45.88,p < .01. It took longer to respond to the dog breed names (760 ms)than the general animal names (615 ms) at the base level of thehierarchy.

The comparison pertinent to the experimental hypothesis con-cerns the interaction term. The interaction between prime taskmodality and priming was significant in the by-participants anal-ysis, Fi(l, 26) = 7.01, p < .01, F2(l, 34) = 2.86, p = .09. Theinteraction among prime task modality, name type, and primingwas not significant, F,(l, 26) < 1, F2(l, 34) = 2.26, p = .14.Simple main effects were used to explore this interaction. Theeffect of priming was significant for both types of names after thevisually presented prime task by participant, dog names: F ^ l ,26) = 18.6, p < .01, F2(l, 34) = 10.87, p < .02; animal names:F,(l , 26) = 4.29, p < .04, F2(l, 34) < 1. The effect of primingafter the auditory presented prime task was not significant (bothFjS < 1, F2s < 1.5, all ps > .22). Parallel analysis were alsocarried out on the proportional scores, producing analogous find-ings, and supported this interpretation.

Discussion

The results clearly show that neither specific names of dogbreeds or general names of animals produce cross-modal facilita-tion. The lack of priming cannot be attributed to a lack of powerbecause the same stimuli produced significant facilitation when theprime phase and the test phase were presented within the samemodality. The interpretation of Experiment 3 must be that differ-ences in the cross-modal effects observed for the landmark and thecountry name stimuli cannot be attributed simply to differences inspecificity at a conceptual level. This finding refutes Durso andO'Sullivan's (1983) claim that the characteristics of proper-nameprocessing emerged as a function of their conceptual specificity.These data also confirm that common names do not produce

108 HOLLIS AND VALENTINE

facilitation after a cross-modality familiarity decision. This findingsuggests that when the experimental task requires activation topass from a lemma directly to the conceptual system, no cross-modal facilitation occurs in a familiarity decision task. Further-more, the dog breed names must be of a lower frequency than themore general animal names. Therefore, these data confirm thefindings of Experiment 2, providing further evidence that facilita-tion occurring in the cross-modal priming paradigm is unlikely tobe influenced by an effect of word frequency.

Experiment 4

If there are indeed differences in the representation of differentcategories of proper noun, these differences should also be appar-ent in other paradigms. Valentine et al. (1998) provided evidencethat producing someone's name in response to seeing their facefacilitated a subsequent name familiarity decision to the sameperson's written name.

As a familiar face is encountered, the appropriate token recog-nition unit that codes for the visual image would become active. Inturn, the corresponding token marker would become active andpass activation onto the appropriate lemma. After lemma selection,the phonology of the name would be retrieved and passed forarticulation. A subsequent name familiarity decision task requiresactivation to pass between the lemma and the identity informationrepresented at the token marker. Because both of these tasksrequire processing between the token marker and lemma, it ispredicted that naming the face of a celebrity would produce aneffect of repetition on a subsequent name familiarity decision tothe same person's name.

Facilitation is not produced if the prime task involved a facefamiliarity decision rather than name production. A familiaritydecision to a face does not require the lemma to become activated.Therefore, a face familiarity decision is not expected to prime asubsequent name familiarity decision. In this case the prime taskonly requires processing between the token recognition unit andthe token marker, whereas the task during the test phase requiresprocessing between the token marker and the lemma.

Similarly, if the test phase task required name production taskrather than a name familiarity decision, the locus of priming wouldbe placed at the lexeme. Consequently, a different set of predic-tions emerges when the test phase requires name production ratherthan the name familiarity decision task. Studies that are based onthese predictions are reported elsewhere (Hollis & Valentine, inpress).

Valentine et al. (1998) did not report any new evidence onfacilitation from picture naming as a prime task for commonnouns. Evidence reveals mixed findings regarding repetition aftername production. Production of an everyday object name does notprime a subsequent lexical decision to the same item's name (e.g.,Morton, 1979; Scarborough et al., 1979; Winnick & Daniel, 1970).In contrast, name production has been found to benefit explicitrecognition of the same item's name (e.g., Park et al., 1998). InExperiment 4 we aimed to replicate the original findings of Val-entine et al. (1998) using people's faces and names as stimuli. Inaddition, the study was extended to investigate the facilitationproduced when other categories of proper names served as stimuli(pictures and names of famous people and landmarks, images ofmaps, and names of countries). The experiment also included

pictures of objects and their names as stimuli. In line with theoriginal hypothesis, it was predicted that a face-naming task wouldprime a subsequent name familiarity decision when people'snames were used as stimuli. The facilitation occurs because bothface naming and name familiarity decision to people's names aretasks that require processing between the token marker and thelemma. Thus, any facilitation produced after the name productionprime task would be comparable to that observed when the sameitem was repeated for a name familiarity decision during the primeand test phase. In contrast, the face familiarity decision does notrequire processing between the token marker and the lemma;therefore, no priming is expected.

Object picture naming followed by lexical decision does notinvolve processing using a token marker. Although picture naminginvolves processing with the conceptual system, it operates bydiffuse links, not a token marker. A lexical decision to a commonname can be made on the basis of activation of the lemma aloneand does not require access to the conceptual system. Therefore,no comparable facilitation was expected when an object-namingtask was followed with a lexical-decision task to the same item'sname.

Given the findings of Experiment 1, the processing character-istics of country names are uncertain. If the lack of cross-modalitypriming in Experiment 1 occurred as a result of differences incognitive architecture, then it follows that analogous findingswould be apparent in the name production experiments; the pro-duction of a country name would not prime a familiarity decisionto a visually presented country name.

Method

Participants. A total of 240 people (54 men and 186 women) partic-ipated in the experiment. The age of the participants ranged from 19 to 45years (M = 21 years).

Stimuli/apparatus. Two sets of 9 critical items were formed for eachnoun category, as for Experiment 1 (see Appendix A). The pictorial stimuliwere formed by selecting a black and white digitized image for each item.The image was 6 X 6-cm in the center of the visual display. An addi-tional 41 images (for each noun category) were selected as familiar filleritems for the picture-naming task. A further 25 unfamiliar images for thepicture familiarity prime task were also found as stimuli in the picturefamiliarity decision task. For the category of people, images were simplyfaces of celebrities and unknown people. For the category of landmarks,images were of famous and unfamiliar buildings, monuments, and so on.Equal proportions of buildings, bridges, monuments, and natural land-marks were assigned to serve as critical, filler, and unfamiliar items. Forthe category of countries, a selection of blank map outlines were used asstimuli (names of cities, towns, and so on were removed). On each map, anarrow indicated which country was to be named. Maps were made "unfa-miliar" for use in the picture familiarity decision by distorting coastline andpositioning the arrow so that the countries in question were no longerrecognizable. For the everyday object stimuli, series of line drawing wereselected. The unfamiliar picture items were nonobjects, taken from a studyby Kroll and Potter (1984). For the test phase, a selection of filler andunfamiliar names was formed as in Experiment 1.

Design. The experiment had a mixed design with three factors: nouncategory (people, landmarks, countries, objects) and prime task (picturenaming, picture familiarity decision, and name familiarity decision orlexical decision) were between-participants factors. Priming (primed vs.unprimed) was a within-participants factor.

For each noun category, there were two sets of nine critical items. Oneof these sets appeared in both the prime phase and the test phase. Re-

PROPER-NAME PROCESSING 109

sponses to these items formed the data for the primed items. The other setof nine critical items appeared only in the test phase. Responses to theseitems formed the data for the unprimed items. With the exception of theprimed items, no other items were repeated between prime and test. Theassignment of items to the primed and unprimed conditions was counter-balanced across participants for each combination of prime phase task.

The experiment consisted of two phases: a prime phase and a test phase.For the prime phase, participants who received proper name stimuli per-formed a picture familiarity decision, a picture-naming task, or a namefamiliarity task. Participants who received the object names performed apicture familiarity decision, a picture naming task, or a lexical-decisiontask. The prime phase for the picture-naming conditions consisted of 50images (9 primed critical items and 41 familiar filler items). The primephase for the picture familiarity decision consisted of 9 images of thecritical items (primed), 16 filler (familiar) items, and 25 unfamiliar items.The prime phase for the name familiarity and lexical decision consisted ofthe name of each item presented in uppercase 14-point Arial font in thecenter of the computer screen. In keeping with the other two prime tasks,the presentation consisted of 50 items: 9 critical items (primed), 16 fillerfamiliar names, and 25 unfamiliar names.

The test phase was presented visually to all participants as a namefamiliarity decision for the proper name groups and as a lexical decision forthe object name group. The test phase took the same format for all of thenoun groups. The written names were presented in uppercase 14-pointArial font on a PC screen as in Experiment 1. The participants' responseswere recorded using keypresses on the keyboard. The experiment wasprogrammed using MEL2. Reaction times were recorded with millisecondaccuracy.

Procedure. Participants were allocated to one of the noun categoriesand took part in a prime phase followed by a test phase. Each phase waspreceded by 10 practice trials. During the prime phase, participants per-formed the picture-naming task, the picture familiarity task, or the namefamiliarity task (lexical decision in the case of the object stimuli). Allstimuli were presented on the computer screen in a random order. In thepicture-naming condition, participants were asked to articulate the name ofthe item as quickly as possible. If the participant was found to be in a"tip-of-the-tongue" state, the first phoneme was given as a prompt. Oncethe participant had given a vocal response, the experimenter recorded theaccuracy of the response by keypress. For the picture familiarity decision,participants saw the series of stimuli and were asked to make a familiaritydecision to each item by keypress as quickly as possible. In the namefamiliarity decision, participants were shown the selection of famous andunfamiliar names and asked to make a familiarity decision by keypress asquickly as possible. The group of participants who received the objectstimuli were asked to make a lexical decision by keypress as quickly andaccurately as possible.

The prime phase was followed by the test phase, which involved a namefamiliarity decision (or lexical decision) presented on computer. As inExperiment 1, participants were not informed of this additional task. Eachof the experimental trials consisted of a 250-ms tone, followed after 500 msby presentation of the stimulus. In each trial, a name was presented andparticipants were instructed to make a familiarity decision (or lexicaldecision) by pressing yes or no using the keys provided. Participants wereinstructed to respond as quickly and as accurately as possible. The partic-ipants' response terminated the display of the stimulus.

Results

Responses to the nine critical primed and unprimed items madeduring the test phase were subjected to analysis. A response to anitem was included in the analyses only if the correct response wasgiven in both the prime and the test phase. The minimum numberof critical primed items contributing to each cell of the analysiswas 5. The mean reaction time and accuracy of responses to the

target items are given in Table 4. A proportional facilitation scorewas calculated for each data point (unprimed response time —primed response time / unprimed response time). The proportionalfacilitation scores are plotted as a function of noun type and primetask modality in Figure 5.

An analysis of the raw reaction times was also performed on thedata from each noun group separately, taking participants as therandom factor with noun category as a between-participants com-parison and the effect of priming as a within-participants factor(identified by the subscript 1). An analysis was also performedwith items as the random factor and noun category as a between-items comparison and the effect of priming as a within-items factor(identified by the subscript 2).

For the category of people's names, the main effect of primetask was significant only in the by-items analysis, F,(2,57) = 1.06,p = .35, F2(2, 34) = 17.59,p < .01. Responses in thename familiarity decision were faster (654 ms) than those in theother conditions (714 ms, 711 ms). This effect could be attributedto practice. There was a significant main effect of priming, Fj(l,57) = 14.98,p < .01, F2(l, 34) = 17.20, p < .01, confirming thatresponse times to the primed items were faster (670 ms) than thoseto the unprimed items (717 ms). The Priming X Prime Taskinteraction was significant, F,(2, 57) = 3.66, p < .05, F2(2,34) = 4.11, p < .05. Simple main effects indicated that significantpriming occurred after the name familiarity decision prime task,F,(l , 57) = 12.85, p < .01, F2(l, 17) = 32.54,p < .01, and afterthe face naming prime task, F,(l , 57) = 9.47, p < .01, F2(l,17) = 9.17, p < .01. No comparable priming occurred after theface familiarity decision prime task, F,(l , 57) < 1, F2(l, 17) < 1.

For the category of landmark names, the main effect of primetask was significant, F t(2, 57) = 4.09, p < .05, F2(2, 34) = 18.08,p < .01. There was a significant main effect of priming, F,(l ,57) = 20.76, p < .01, F2(l, 34) = 21.15,p < .01, confirming thatresponse times to the primed items (742 ms) were faster than those

Table 4Mean Reaction Times (RTs) and Response Accuracyfor Experiment 4

Familiarity decision

People's namesFace familiarityFace namingName familiarity

Landmark namesPicture familiarityPicture namingName familiarity

Country namesPicture familiarityPicture namingName familiarity

Lexical decision: object namesPicture familiarityPicture namingLexical decision

RT

714679617

707830689

543527498

567609519

Primed

Accuracy

8.48.57.9

8.18.28.4

7.18.08.1

8.38.68.2

Unprimed

RT

715744692

716940798

537536539

588608573

Accuracy

8.28.27.7

7.57.97.8

8.48.98.4

8.28.88.8

Note. Reaction time is measured in milliseconds. Response accuracy isbased on a total of 9.

110 HOLLIS AND VALENTINE

0.2 -i

people landmarks countries

D Name Familiarity

• Naming

• Picture Familiarity

TT

objects

Figure 5. Mean proportional facilitation in reaction time to decision during test phase as a function of primetask modality and noun category. Error bars indicate the 95% confidence interval for the effect of prime taskmodality.

to the unprimed items (818 ms). The Priming X Prime Taskinteraction was significant in the by-participant analysis, F ^ ,57) = 4.06, p < .05, F2(2, 34) = 1.78, p = .18. Simple maineffects indicated that significant priming occurred after the namefamiliarity decision prime task, Fj(l, 57) = 14.19, p < .01, F2(l,17) = 4.92, p < .05, and after the landmark naming prime task,F,(l , 57) = 15.60, p < .01, F2(l, 17) = 4.19, p < .05. Nocomparable priming occurred after the landmark familiarity deci-sion prime task, F,(l, 57) < 1, F2(l, 17) < 1.

For the category of country names, the main effect of prime taskwas not significant, Fj(2, 57) < 1, F2(2, 34) = 2.46, p = .10.There was a marginally significant main effect of priming, F,(l,57) = 3.47, p = .06, F2(l, 34) = 4.20, p < .05. The Priming XPrime Task interaction was significant only in the by-participantanalysis, F^l, 57) = 3.14, p < .05, F2(2, 34) = 1.68, p = .19.Simple main effects indicated that significant priming occurred inthe by-participants analysis, and a marginally significant effect ofpriming was found in the by-items analysis after the name famil-iarity decision prime task, F ^ l , 57) = 9.10, p < .01, F2(l,17) = 3.34, p = .08. No significant priming was found after thecountry-naming prime task, F,(l, 57) < 1, F2(l, 17) = 1.83, p =.19. No priming occurred after the country familiarity decisionprime task, F,(l , 57) < 1, F2(l, 17) < 1.

For the category of object names, the main effect of prime taskwas significant only in the by-items analysis, F,(2, 57) = 1.26,p = .28, F2(2, 34) = 14.20, p < .01. Responses after the lexical-decision prime task were faster (546 ms) than those after the othertypes of prime task (577 ms, 608 ms). Once again, this could beexplained as a practice effect. There was a significant main effectof priming in the by-participant analysis only, F ^ l , 57) = 6.59,p < .01, F2(l, 34) = 1.20, p = .28. The Priming X Prime Taskinteraction was not significant, F t(2, 57) = 2.80, p = .06, F2(2,34) = 2.13, p = A3. Simple main effects indicated that significantpriming occurred after the name familiarity decision prime task inthe by-participant analysis, F,(l , 57) = 10.59, p < .05, F2(l,

17) = 2.26, p = .15. No priming occurred after the object-namingprime task, F,(l, 57) = 1.60, p = .21, F2(l, 17) < 1. No primingoccurred after the object familiarity decision prime task, F t ( l ,57) < 1, F2(l, 17) < 1.

Data from the name production prime task alone were analyzedwith participants as the random factor with noun category as abetween-participants comparison and the effect of priming as awithin-participants factor (identified by the subscript 1). An anal-ysis was also performed with items as the random factor with nouncategory as a between-items comparison and the effect of primingas a within-items factor (identified by the subscript 2). The inter-action between noun category and priming was significant, Fj(3,76) = 4.65, p < .01, F2(3, 68) = 4.80, p < .01. Simple maineffects were used to explore the interaction. There was a signifi-cant effect of priming for people's names, F,(l, 76) = 6.72, p <.01, F2(l, 68) = 9.73, p < .01, and landmark names, F / l ,76) = 21.33, p < .01, F2(l, 68) = 22.47,/? < .01. However, theeffect of priming was not significant for country names or objectnames (all Fs < 1).

It can be concluded that facilitation produced after face-namingprime task and the landmark-naming prime task were similar.When country name stimuli were produced, no priming occurred,and processing was similar to that observed when the naming ofobject pictures was followed by a lexical decision. Parallel anal-yses with the proportional scores were also performed and pro-duced analogous findings, supporting our interpretation of thedata.

Discussion

Experiment 4 has shown that naming a famous face or landmarkfacilitates a subsequent familiarity decision to that same item'sname. In contrast, producing a country name did not providesimilar facilitation. Furthermore, naming a picture of an everydayobject did not facilitate a lexical decision to the same item's name.

PROPER-NAME PROCESSING 111

These findings are consistent with those found with the cross-modality presentation of Experiment 1. Once again, there weredifferences in the unprimed baseline for the different categories ofnoun. As discussed previously, these differences can be derivedfrom the model but may also be attributable to differences in wordlength across the various noun categories. In view of the results ofExperiments 2 and 3, it unlikely that the pattern of facilitationobserved could be accounted for by word frequency when there arechanges in the presentation domain between prime and test.

Although research has produced evidence to suggest that facil-itation can cross-domain between words and pictures for commonnames, support for this has not been found in the present data. Parket al. (1998) used a recognition task ("Have you seen this itempreviously?" yes/no) after a naming task and a word stem com-pletion task. In contrast, the experiments reported here used aname familiarity decision ("Is this a name of a familiar item?"yes/no). The recognition task requires explicit recall, whereas thename familiarity decision is a test of implicit memory. Our datasupport the view based on earlier research that naming a picture ofa common object does not facilitate subsequent recognition (lex-ical decision) of the same item's name (e.g., Morton, 1979; Scar-borough et al., 1979; Winnick & Daniel, 1970).

In both Experiments 1 and 4, country names show processingcharacteristics that are more akin to common names than with theother proper name stimuli that have been used. This finding can beexplained by the model proposed by Valentine et al. (1996) if it isassumed that country names have a diffuse connectivity betweenthe lemma and the conceptual system. If this is the case, the lemmarather than the token marker is the node that first allows access tothe conceptual system. Therefore, under the processing assump-tions made, a familiarity decision to a country name can be basedon the activity of its lemma. Consequently, no priming after nameproduction is found for country name stimuli presented in a namefamiliarity decision task, because there are no processing pathwaysin common to the prime and test task.

It might be argued that the images of maps and landmarks werenot as memorable as the landmark pictures in terms of visualfamiliarity or complexity. These facets of the visual image mayhave made the landmark stimuli prone to an episodic influencecompared with the country name stimuli (although note that theimages were not presented during the test task). To determinewhether such a factor could account for the differences in theprocessing of landmark and country names, an additional experi-ment was performed. Experiment 5 required participants to pro-duce landmark or country names from the same pictorial stimulus.If differences in facilitation from production of the landmark andcountry names were still apparent, these data would provide fur-ther support for the idea that processing of names of landmarks andcountries does indeed differ in their underlying cognitivearchitecture.

Experiment 5

The aim of Experiment 5 was to replicate the findings ofExperiment 4 for country names and landmark names. The exper-imental design was adapted so that the participants produced eithera country name or a landmark name to the same picture. Thiswould identify whether the differences between the images used inExperiment 4 were responsible for the pattern of facilitation ob-

served for country and landmark names. The requirement forparticipants to be able to produce both types of response reducedthe number of suitable items that were available. Therefore, anintervening task was performed between the prime phase and thetest phase in an attempt to reduce the possibility of episodicmediation of any facilitation attributable to repetition. In light ofthe results of Experiment 4, it was predicted that a landmark-naming task would prime a subsequent name familiarity decisionwhen landmark names were used as stimuli. The facilitation wouldoccur, because both the landmark-naming and name familiaritydecision tasks require processing using the token marker-lemmalink. In contrast, familiarity decision to a country is now assumedonly to require processing as far as the lemma. Therefore, nocomparable facilitation was expected after the production of coun-try names. Differences in facilitation for the landmark and countrynames would provide further support for the idea that the process-ing of landmark and country names differs in the underlyingcognitive architecture.

Method

Participants. Twenty-eight participants were tested. Data from fourparticipants were discarded, because these participants were unable toname items during the prime task. Data from 24 (5 men and 19 women)people contributed to the analysis. The age of these participants rangedfrom 19 to 48 years (M = 32 years).

Stimuli. Two sets of nine critical items were formed by selecting ablack and white digitized image of a famous landmark from differentcountries around the world (e.g. Eiffel Tower, France; Buckingham Palace,England; Statue of Liberty, United States; see Appendix D). Each item wasselected from a different country so that no two stimuli (critical or filleritem) depicted places from the same country. In addition to the criticalitems, six images of the same dimensions were selected as familiar filleritems for naming. The dimensions of the images were the same as thoseused in Experiment 4.

Fifty unfamiliar images were chosen for the intervening task. Half ofthese images depicted natural landscapes (such as mountains, forests, andseascapes), and the other half depicted man-made structures (statues,buildings, and bridges). The unfamiliar pictures were not identifiable andcould not be attributed to any particular country. A further 10 picture itemswere used for practice.

For the test phase, a selection of country and landmark names wasformed as in Experiment 1. One set of stimuli consisted of landmarknames. A separate set of country names was also compiled. Each set wascomposed of 18 stimuli that formed the two sets of critical items, togetherwith 7 filler familiar items not presented in any other part of the experi-ment. Twenty-five unfamiliar items were formed as described in Experi-ment 1. A further 10 names were used for practice.

Design. The experiment had a mixed design with two factors: Primetask (landmark naming, country naming) was a between-participants fac-tor. The effect of priming (primed, unprimed) was a within-participantsfactor.

For each prime task, there were two sets of nine critical items. One ofthese sets appeared in both the prime phase and the test phase. Responsesto these items formed the data for the primed items. The other set of ninecritical items appeared only in the test phase. Responses to these itemsformed the data for the unprimed items. With the exception of the primeditems, no other items were repeated between prime and test. The assign-ment of items to the primed and unprimed conditions was counterbalancedacross participants for each naming task.

The experiment consisted of three phases: a prime phase, an interveningtask, and a test phase. For the prime phase, participants received either thelandmark-naming task or the country-naming task. In each case the prime

112 HOLLIS AND VALENTINE

phase consisted of a total of 15 images (9 primed critical items and 6famous filler items).

After the naming trials, all participants received the series of unfamiliaritems and were asked to perform a man-made/natural decision by keypressas quickly as possible. The test phase was presented visually to all partic-ipants as a name familiarity decision task. Participants who producedlandmark names during the prime phase received landmark names duringthe test phase. Similarly, participants who produced country names duringthe prime phase received country names during the test phase. The writtennames were presented in uppercase 14-point Arial font on the PC screen.The participants' responses were recorded using keypresses on the key-board. The experiment was programmed using MEL2. Reaction times wererecorded with millisecond accuracy.

Procedure. Participants were allocated to either the landmark name orthe country name group and took part in a prime phase followed by theintervening task and the test phase. In the landmark-naming condition,participants were asked to articulate the specific name of the landmark asquickly as possible. If the participant was found to be in a tip-of-the-tonguestate, the first phoneme was given as a prompt. Once the participant hadgiven a vocal response, the experimenter recorded the accuracy of theresponse by keypress. The country-naming condition was conducted in thesame way; however, participants were asked to produce the name of thecountry where the landmark could be found.

The prime phase was followed by the intervening task. All participantsreceived the series of unfamiliar items and were asked to perform aman-made/natural decision by keypress as quickly as possible. The 50items appeared in different random order for each participant.

Finally, the test phase was presented, which involved a name familiaritydecision. The timing and procedure were the same as in Experiments 1and 4, except that participants who produced landmark names performedthe familiarity decision with familiar and unfamiliar landmark and, con-versely, participants who had produced country names performed thefamiliarity decision with familiar and unfamiliar country name stimuli.Once again, participants were not given prior warning of this additionaltask. The test phase was preceded by 10 practice trials. All stimuli werepresented on the computer screen in a different random order for eachparticipant.

Results

Responses to the nine critical primed and unprimed items madeduring the test phase were subjected to analysis. A response to anitem was included in the analyses only if the correct response wasgiven in both the prime and the test phases. The mean timing andaccuracy of responses to the target items are given in Table 5.

As before, a proportional facilitation score was calculated foreach data point (unprimed response time - primed responsetime/unprimed response time). The mean proportional facilitationis plotted as a function of noun category in Figure 6.

Table 5Mean Reaction Times (RTs) and Response Accuracyfor Experiment 5

0.15 -i

Familiarity decision

Landmark namesCountry names

RT

111556

Primed

Accuracy

6.87.8

RT

805565

Unprimed

Accuracy

6.78.0

o0.1 -

OT 0.05 H

o

-0.05

I1

landmarks countries

Note. Reaction time is measured in milliseconds. Response accuracy isbased on a total of 9.

Figure 6. Mean proportional facilitation in reaction time to decisionduring test phase as a function of noun category. Error bars indicate the95% confidence interval for the effect of prime task.

An analysis of the raw reaction times was also performed withparticipants as the random factor, noun category as a between-participants comparison, the effect of priming as a within-participants factor (identified by the subscript 1), and items as therandom factor (identified by the subscript 2). There was a maineffect of noun category, F,(l, 22) = 18.39, p < .01, F2(l,34) = 55.30, p < .01. Responses to the landmark names wereslower (766 ms) than those to the country names (560 ms). Thiscan be attributed to word length. There was a significant maineffect of priming, F,(l, 22) = 15.35, p < .01, F2(l, 34) = 5.37,p < .02. Responses in the primed condition were faster (641 ms)than those in the unprimed condition (685 ms). The interactionbetween noun category and priming was significant, F,(l ,22) = 9.77, p < .01; F2(l, 34) = 5.50, p < .02. Simple maineffects were used to explore the interaction. There was a signifi-cant effect of priming for landmark names, F,(l, 22) = 24.79,/? <.01, F2(l, 34) = 10.90, p < .01. However, the effect of primingwas not significant for country names (both Fs < 1). This showedthat significant priming occurred for the landmark names but notfor the country names. Parallel analyses were performed with theproportional scores, which produced analogous findings.

Discussion

The results clearly indicate that producing the name of a land-mark facilitates the subsequent familiarity decision to the sameitem's name. This finding contrasts with producing country names,in which no comparable facilitation was found. In this experiment,the verbal responses made during the prime phase were producedin response to seeing the same picture. Thus, it is unlikely thatdifferences in the quality of the pictorial images (for the landmarkand country stimuli) that were used in Experiment 4 were respon-

PROPER-NAME PROCESSING 113

sible for the lack of facilitation observed for country names in thatexperiment. Similarly, the findings of the current experiment can-not be attributed to one class of image being more memorable thanthe other. The vocal responses were made to the same stimuli withnoun category manipulated as a within-participant factor. There-fore, differences in performance between groups of participantscannot account for the differences in priming observed. The inter-vening task was used to minimize the influence of episodic re-trieval, making episodic explanations untenable. The results of thisexperiment, therefore, support the interpretation of Experiments 1and 4.

General Discussion

The experiments indicate that people's names and landmarknames have similar processing characteristics. Experiment 1 indi-cated that people's names and landmark names produce cross-modality repetition priming, whereas no cross-modal facilitationwas found for when country names were presented for familiaritydecision. Similarly, no cross-modal facilitation was found whencommon names (object names) were presented for lexical decision.Experiment 2 confirmed that common names do not producecross-modal facilitation when presented in a familiarity decisiontask. The manipulation of frequency also identified that the cross-modal priming found with the people's names and landmarknames could not be easily accounted for by an effect of wordfrequency. Experiment 3 excluded specificity of a name as anexplanation for differences found in the cross-modality facilitationfor landmark names and country names. Neither base level norsubordinate classes of names produced cross-modality facilitationwhen presented for name familiarity decision.

Experiment 4 found that producing the name of a person or alandmark facilitated a subsequent name familiarity decision to thesame item's name. These findings contrasted with those foundwith the same tasks that involved country name stimuli. Countrynames did not produce priming of a name familiarity decision taskafter name production. Similarly, common names (object names)did not produce priming of a lexical-decision task after nameproduction.

Experiment 5 confirmed that producing the name of a landmarkfacilitated a subsequent name familiarity decision to the sameitem's name. Once again, country names did not produce primingof a name familiarity decision task after name production. Exper-iment 5 required that both the landmark names and the countrynames were produced in response to seeing the same pictures.Therefore, the priming found in Experiment 4 could not be attrib-uted to differences in the images presented in the prime phase ofthe experiment. Furthermore, Experiment 5 manipulated nouncategory as a within-participant factor. Therefore, differences be-tween groups of participants cannot account for the differences inpriming observed.

Previous research suggested that uniqueness, meaninglessness,or conceptual specificity can account for the characteristics ofproper-name processing. The current series of experiments aredifficult to reconcile with an explanation in terms of uniqueness,because people's names, landmark names, and country names areall unique. For example, there is only one Bill Clinton, one Statueof Liberty and one United States of America. In spite of theiruniqueness, these stimuli produce different cognitive phenomena.

Landmark names often contain a greater degree of meaningcompared with people's names and country names that can beconsidered arbitrary. For example, the Eiffel Tower is a tower andTower Bridge is a bridge, next to the Tower of London. However,although people's names and landmark names differ in their de-gree of meaning, they produce the same cognitive phenomena.Experiment 3 provided no evidence that conceptual specificity wasresponsible for cross-domain and cross-modal facilitation that hasbeen found for people's names and names of landmarks. There-fore, none of these simple explanations in terms of uniqueness andmeaninglessness or conceptual specificity alone are sufficient tocapture the true nature of proper-name processing.

If the key to the characteristics of proper-name processing is thefact that proper names are pure referencing expressions, one wouldexpect that only subcategories of proper name that have purereference would produce cross-modal and cross-domain primingphenomena. Both landmark names and people's names can bedeemed to be pure referencing expressions. It should be noted thatpeople's names and landmark names do not normally take aadjectival form. In contrast, country names can act as adjectives.Therefore, country names have sense and so are not pure refer-encing expressions. This attribute indicates that connectivity be-tween the lemma and the conceptual system for a country name islikely to require diffuse multiple connections. This connectivity islikely to resemble that of common name representations ratherthan the single connection between the lemma and the tokenmarker that we postulate exists for people's names and landmarknames. The data indicate that it is pure reference that is capturedin a model such as that proposed by Valentine et al. (1996) in termsof the token marker-lemma linkage. The observed cognitive phe-nomena of cross-modal and cross-domain priming appear to reflectthe processing of purely referring expressions.

One area of interest is the organization of lemmas involved inlexical access. This is an area that is receiving great researchinterest (e.g., Damian & Martin, 1999; Kempen & Huijbers, 1983;Cutting & Ferreira, 1999; Miozzo & Caramazza, 1999). Valentineet al. (1996) described the internal structure of the lexicon, inwhich a lemma exists for each lexical entry, including lexicalcompounds. Although a large volume of work exists regardingsemantic and phonological processes involved in speech produc-tion, less emphasis has been placed on words from differentsubcategories and classes. Proper names such as people's namesand names of landmarks are interesting because they are lexicalcompounds. Further research using lexical compounds would helpto specify the organization of the lemma, and a comparison ofdifferent nouns may also help to enhance our general understand-ing of lexicalization.

In summary, the data reported in these experiments support themodel proposed by Valentine et al. (1996), being extended to someclasses of proper name other than people's names (i.e., landmarks).The data also demonstrate that the role of a token marker is notuniversal for all categories of proper name (i.e., not countrynames).

References

Bi&iart, S., Brennen, T., & Valentine, T. (1997). Dissociations between theprocessing of proper and common names. Cognitive Neuropsychology,14(2), 209-217.

114 HOLLIS AND VALENTINE

Bruce, V. (1983). Recognising faces. Philosophical Transactions of theRoyal Society of London: Series B, 302, 423-436.

Bruce, V., & Valentine, T. (1985). Identity priming in the recognition offamiliar faces. British Journal of Psychology, 76, 373-383.

Bruce, V., & Valentine, T. (1986). Semantic priming of familiar faces.Quarterly Journal of Experimental Psychology, 38A, 125-150.

Bruce, V., & Young, A. W. (1986). Understanding face recognition. BritishJournal of Psychology, 77, 305-327.

Burke, D. M., MacKay, D. G., Worthley, J. S., & Wade, E. (1991). On thetip of the tongue: What causes word finding failures in young and olderadults. Journal of Memory and Language, 30, 542-579.

Burton, A. M., & Bruce, V. (1992). I recognise your face but I can'tremember your name: A simple explanation? British Journal of Psy-chology, 83, 45-60.

Burton, A. M., Bruce, V., & Johnston, R. A. (1990). Understanding facerecognition with an interactive activation model. British Journal ofPsychology, 81, 361-380.

Cohen, G. (1990). Why is it difficult to put names to faces? British Journalof Psychology, 81, 287-297.

Cohen, G., & Burke, D. M. (1993). Memory for proper names: A review.Memory, 1(3), 249-263.

Cutting, J. C , & Ferreira, V. S. (1999). Semantic and phonological infor-mation flow in the production lexicon. Journal of Experimental Psy-chology: Learning, Memory, and Cognition, 25(2), 318-344.

Damian, M. F., & Martin, R. C. (1999). Semantic and phonological codesinteract in single word production. Journal of Experimental Psychology:Learning, Memory, and Cognition, 25(2), 345-361.

Durso, T. D., & O'Sullivan, C. S. (1983). Naming and remembering properand common nouns and pictures. Journal of Experimental Psychology:Learning, Memory, and Cognition, 9(3), 497—510.

Ellis, A. W. (1982). Modality-specific repetition priming of auditory wordrecognition. Current Psychological Research, 2, 123-128.

Hollis, J., & Valentine, T. (in press). From naming pictures to readingwords: Is there facilitation specific to proper names? PsychonomicBulletin & Review.

Jacoby, L. L., & Dallas, M. (1981). On the relationship between autobio-graphical memory and perceptual learning. Journal of ExperimentalPsychology: General, 110, 306-340.

Kempen, G., & Huijbers, P. (1983). The lexicalization process in sentenceproduction and naming: Indirect election of words. Cognition, 24, 1256-1274.

Kinoshita, S. (1995). The word frequency effect in recognition memoryverses repetition priming. Memory and Cognition, 23(5), 569—580.

Kirsner, K., & Smith, M. C. (1974). Modality effects in word identifica-tion. Memory and Cognition, 2, 637-640.

Kirsner, M., Milech, D., & Standen, P. (1983). Common and modalityspecific processes in the mental lexicon. Memory and Cognition, 2,637-640.

Kroll, J. F., & Potter, M. C. (1984). Recognising words, pictures, andconcepts. A comparison of lexical object and reality decisions. Journalof Verbal Learning and Verbal Behaviour, 23, 39—66.

Levelt, W. J. M. (1989). Speaking: From intention to articulation. Cam-bridge, MA: MIT Press.

Miozzo, M., & Caramazza, A. (1999). The selection of determiners in nounphrase production. Journal of Experimental Psychology: Learning,Memory, and Cognition, 25(4), 907-922.

Monsell, S., Matthews, G. H., & Miller, D. C. (1992). Repetition oflexicalization across languages: A further test of the locus of priming.Quarterly Journal of Experimental Psychology, 44 A, 763-783.

Morton, J. (1979). Facilitation in word recognition: Experiments causingchange in the logogen model. In P. A. Kolers, M. Wrolstad, & H. Bouma(Eds.), Processing of visible language (pp. 259-268). New York:Plenum.

Park, S. M., Gabrieli, J. D. E., Reminger, S. L., Monti, L. A., Fleischman,D. A., Wilson, R. S., Tinklenberg, J. R., & Yesavage, J. A. (1998).Preserved priming across study-test picture transformations in patientswith Alzheimer's disease. Neuropsychology, 12(3), 340-352.

Roediger, H. L., & Blaxton, T. A. (1987). Effects of varying modality,surface features and retention interval on priming in word-fragmentcompletion. Memory and Cognition, 15, 379-388.

Roelofs, A. (1992). A spreading activation theory of lemma retrieval inspeaking. Cognition, 42, 107-142.

Scarborough, D. L., Cortese, C , & Scarborough, H. S. (1977). Frequencyand repetition effects in lexical memory. Journal of Experimental Psy-chology: Human Perception and Performance, 3, 1—17.

Scarborough, D. L., Gerard, L., & Cortese, C. (1979). Accessing lexicalmemory: The transfer of word repetition effects across task and modal-ity. Memory and Cognition, 7, 3-12.

Thompson-Schill, S. L., & Gabrieli, J. D. E. (1999). Priming of visual andfunctional knowledge on a semantic classification task. Journal of Ex-perimental Psychology: Learning, Memory, and Cognition, 25, 41—53.

Tranel, D., Damasio, H., & Damasio, A. R. (1997). On the neurology ofnaming. In H. Goodglass & A. Wingfield (Eds.), Anomia: Neuroana-tomical & cognitive correlates (pp. 65-92). New York: Academic Press.

Valentine, T., Bremen, T., & Br6dart, S. (1996). The cognitive psychologyof proper names: On the importance of being Ernest. London: Rout-ledge.

Valentine, T., Hollis, J., & Moore, V. (1998). On the relationship betweenreading, listening and speaking: It's different for people's names. Mem-ory and Cognition, 26(4), 740-753.

Valentine, T., Moore, V., Flude, B. M., Young, A. W., & Ellis, A. W.(1993). Repetition priming and proper name processing. Do commonnames and proper names prime each other? Memory, 1(4), 329-349.

Vitkovitch, M., & Humphreys, G. W. (1991). Perseverant responding inspeeded naming to pictures: It's in the links. Journal of ExperimentalPsychology: Learning, Memory, and Cognition, 17, 664-680.

Weldon, M. S. (1991). Mechanisms underlying priming on perceptual tests.Journal of Experimental Psychology: Learning, Memory, and Cogni-tion, 17, 526-541.

Wheeldon, L. R., & Monsell, S. (1992). The locus of repetition priming ofspoken word production. Quarterly Journal of Experimental Psychol-ogy, 44A, 723-761.

Winnick, W. A., & Daniel, S. A. (1970). Two kinds of response priming intachistoscopic recognition. Journal of Experimental Psychology, 84,74-81.

PROPER-NAME PROCESSING

Appendix A

Critical Stimuli for Experiments 1 and 4,Set A Followed by Set B

115

Everyday object names People's names

Set ACROWNKANGAROOTELEPHONELOBSTERTHIMBLELADDERWATCHPIANOSCISSORS

SetBTRAINALLIGATORKETTLEWINDMILLBUTTERFLYCANDLEUMBRELLAVIOLINAEROPLANE

Set ARUBY WAXMARILYN MONROETONY BLAIRJOANNA LUMLEYSYLVESTER STALLONEMARGARET THATCHERFREDDIE MERCURYMICHAEL JACKSONCILLA BLACK

SetBWHOOPIE GOLDBERGJOHN MAJORTERRY WOGANBARBRA STREISANDDAVID BOWIERICHARD BRANSONTINA TURNERROWAN ATKINSONBILL CLINTON

Country names Famous landmarks

Set AEGYPTPORTUGALTURKEYITALYGERMANYISRAELWALESMOROCCOCYPRUS

SetBSPAINFRANCECANADAENGLANDGREECEINDIAIRELANDBRAZILJAMAICA

Set AACROPOLISBIG BENEIFFEL TOWERGREAT WALLSTATUE OF LIBERTYNIAGARA FALLSPICADILLY CIRCUSTAJ MAHALSTONEHENGE

SetBBRANDENBERG GATEEDINBURGH CASTLEGOLDEN GATEMOUNT RUSHMORETOWER OF PISAEMPIRE STATETOWER BRIDGEWHITE HOUSEAYERS ROCK

(Appendixes continue)

116

Low freq.

BEETLEBLEACHBURNERCINNAMONPIMPLEPUDDINGBRACELETCOOKIEMOSQUITO

M

GORILLALETTUCEDOUGHNUTSAUCERSPARROWTOASTERSLEIGHBLOUSEPARCEL

M

No. letters

666g67g6g

6.78

77g677666

6.66

K-F Freq.

000000111

0.33

000000011

0.22

HOLLIS AND VALENTINE

Appendix B

Critical Stimuli for Experiment 2

Fam.

50354951g5155575105475g5512

532.89

554565566533523520531562503

539.66

Cone.

Set

619544500599579593602634595

5g5.00

Set

620579606606629579613640525

599.66

High freq.

A

CHURCHWORLDWATERGOVERNMENTPEOPLESTATENIGHTHOUSEPERSONAL

M

B

FAMILYLITTLEPLACECHILDRENUNIVERSITYGENERALUNDERSMALLSCHOOL

M

No. letters

655

1065558

6.11

665g

107556

6.50

K-F Freq.

3847g7442417847808411591196

542.55

331871571355214494707542492

508.55

Fam.

560607641594628560636600311

570.77

607594612608622568544616582

594.77

Cone.

587532616426540440469608408

514.00

525378427582533408319402573

460.77

Note. Freq. = frequency; Fam. = familiar; Cone. = concreteness.

Appendix C

Critical Stimuli for Experiment 3

Appendix D

Critical Stimuli for Experiment 5,Set A Followed by Set B

Set A

BULLDOGROTTWEILERIRISH SETTERGREY HOUNDGREAT DANEDALMATIONBOXERPOODLEALSATION

ELEPHANTSHEEPKANGAROOSHARKALLIGATORDONKEYPENGUINSEA HORSEBUTTERFLY

SetB

WHIPPETKING CHARLESDOBERMANNBEAGLEDACHSHUNDPEKINGESECORGIAFGHAN HOUNDLABRADOR

GIRAFFEPEACOCKFROGGOATLEOPARDSPIDERBEARGORILLASQUIRREL

Country name

CHINAINDIAENGLANDCANADAITALYDENMARKEGYPTISRAELSPAIN

IRELANDUNITED STATESAUSTRALIAFRANCEGERMANYSCOTLANDTURKEYGREECEPERU

Landmark name

GREAT WALLTAJ MAHALBUCKINGHAM PALACENIAGARA FALLSTOWER OF PISALITTLE MERMAIDABU SYMBELWAILING WALLSEGRADA FAMILLIA

BLARNEY STONESTATUE OF LIBERTYAYERS ROCKEIFFEL TOWERBRANDENBERG GATEEDINBURGH CASTLEBLUE MOSQUEACROPOLISMACHU PICCHU

Received July 12, 1999Revision received June 7, 2000

Accepted June 21, 2000