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Machine Learning for Language Technology Lecture 3: Probability Theory Marina San6ni Department of Linguis6cs and Philology Uppsala University, Uppsala, Sweden Autumn 2014 Acknowledgement: Thanks to Prof. Joakim Nivre for course design and materials

Lecture 3 Probability Theory

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Statistical methods and Natural Language Processing/Language Technology Notion of Probability Sample Spaces Events Axioms of Probability Theorems of Probability Conditional Probability Independence and Incompatibility

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Page 1: Lecture 3 Probability Theory

Machine  Learning  for  Language  Technology    Lecture  3:  Probability  Theory  

Marina  San6ni  Department  of  Linguis6cs  and  Philology  Uppsala  University,  Uppsala,  Sweden  

 Autumn  2014  

 Acknowledgement:  Thanks  to  Prof.  Joakim  Nivre  for  course  design  and  materials  

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Outline  •  Sta6s6cal  methods  and  Natural  Language  Processing/Language  Technology  

•  No6on  of  Probability  •  Sample  Spaces  •  Events  •  Axioms  of  Probability  •  Theorems  of  Probability  •  Condi6onal  Probability  •  Independence  and  Incompa6bility  

 

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Sta6s6cal  Methods…  

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Natural  Language  Processing/Language  Technology  

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The  No6on  of  Probability  

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Sample  Spaces  

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Events  

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Composite  Experiments  

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Axioms  of  Probability  

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Simple  Probability:  Examples  

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Theorems  of  Probability  

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Condi6onal  Probability  

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Example  1:  Dice  

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Example  2:  Words  

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Independence  

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Independence:  Example  1  

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Independence:  Example  2  

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Independence  and  Incompa6bility  

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The  end