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    Building a suite of online resources to supportacademic vocabulary learning

    Stefania SpinaUniversit per Stranieri di Perugia, [email protected]

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    LELE: Linguistically-Enhanced Learning Environment

    part of a more general project

    APRIL:Ambiente Personalizzato di Rete per lInsegnamento Linguistico (A PLE forlanguage learning)

    aim: enrich a Personal Learning Environmentfor online language courses withlinguistic tools created from Natural Language Processing technologies

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Origin

    need to expand academic vocabulary of non-native University students

    to attend University programs: level B2 CEFR. But...

    previous research: unreliable knowledge of academic vocabulary

    tipologically distant L1

    European and Romance languages

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    4 vocabulary categories

    1. high frequency words

    2. academic words:

    high frequency in all academic texts, regardless of subject areas

    3. technical words:

    subject-specific words

    4. low frequency words

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    casa (home)

    mangiare (eat)biglietto (ticket)

    approccio (approach)

    elaborare (elaborate)

    consolidato (well-established)

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    Lexical tests on academic vocabulary

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    Three steps

    1. identify academic words

    2. create online tools to train students

    3. test the online tools

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Identifying academic words

    Coxhead 2000

    written corpus of academic texts (textbooks, lesson notes, dissertations, researcharticles)

    1 million words, 239 texts (average length 4.000 words)

    three subject areas (333.000 words each):

    humanities

    science

    law and economy

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Extraction of frequency list

    dispersion:

    words occurring in all the 3 sections, frequency 10

    words occurring in at least 2 sections, frequency:

    40 in the corpus (total)

    10 in each of the 2 sections

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    The Academic Italian Word List (AIWL)

    resulting list compared with Vocabolario di base(De Mauro 1980):

    7000 most frequent italian words

    the 404 words that are not in the Vdbconstitutes the AIWL:

    words that frequently appear in academic texts, regardless of subject areas

    The AIWL, with its 2827 inflected forms, covers 5% of the total word of the academic

    corpus; Vdb covers 80%.

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Composition of the AIWL

    191 nouns

    134 adjectives

    46 adverbs

    32 verbs

    1 preposition

    Examples: approccio(approach), consolidato(well-established), peraltro(moreover),identificare(identify), contesto(context)

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    From AIWL to a lexical database

    The AIWL is the basic step for the constitution of a lexical database, that includes, for allthe 404 academic words, the following information:

    lemma

    inflected forms (2827)

    part of speech

    definition

    examples

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Example of the lexical database (MySql)

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    Integration in a PLE

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    il potenziale della tecnologia nella didattica

    il ART il

    potenziale NOUN potenziale

    della ARTPRE di

    tecnologia NOUN tecnologia

    text filtered

    1. POS-tagged

    2. compare with DB

    potenziale NOUN potenziale3. match found

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    Database + POS tagger = disambiguation

    words that have different POS (tagger shows the appropriate linguistic informationextracted from the database)

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    Automatic cloze-generation

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    Student-generated glossary

    students can add other difficult words in an open glossary, with definitions and examples

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    Learning advantages

    improve students ability to understand written academic texts

    focus on academic vocabulary (highlighted, defined, explained with examples andgrammatically categorised)

    expand academic vocabulary adding their own entries and definitions

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Future work

    lexical database:

    adding collocation dictionary

    PLE:

    automatically insert Wikipedia articles or other texts

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    Conclusions: Lele

    is integrated in a PLE;

    is corpus-based;

    is NLP-based (works with a POS-tagger);

    it is social (student-generated open glossary);

    it will be connected to other lexical tools

    EUROCALL 2009 - Stefania Spina - Building a suite of online resources to support academic vocabulary learning

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    References

    Coxhead, A. (2000). A new academic word list. TESOL Quarterly, 34, 213-238.

    De Mauro, T. (1980). Guida all'uso delle parole. Roma: Editori Riuniti.

    Horst, M., & Cobb, T. (2001). Growing academic vocabulary with a collaborative on-linedatabase. In B. Morrison, D. Gardner, K. Keobke, & M. Spratt (Eds.), ELT perspectiveson IT & multimedia; Selected papers from the ITMELT Conference 2001 (pp. 189-225).Hong Kong: Polytechnic University.

    Nation, I. S. P. (2001). Learning vocabulary in another language. Cambridge:

    Cambridge University Press.