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Weekly readings are specified below. A “+” indicates additional readings will be made available via a link from this page. Lecture slides in PDF are obtained by clicking on the link to the topic.

Assignments in italics are home exercises that you should do before the next class. These will not be handed in but may be discussed in the lecture.

Please note that this schedule is tentative and may change as the semester progresses. Please visit this page often!

DateTopicReadingSupplementsAssignment
1/28 Introduction J&M Ch. 1
2/2 Morphology, tokenization, regular expressions NLTK Ch. 1, J&M Ch. 2, 3.1 Wikipedia on REs
2/4 Introduction to NLTK and Python NLTK Ch. 3, 4 NLTK book Ch. 1, Exercises 4-7
2/9 Probability, Collocations, Ngrams J&M Ch. 4
2/16 Machine Learning Weka tutorial NLTK Ch. 6
2/23 Sentiment Analysis R1 , R2 (pp. 1-23)
3/1 Part of Speech Tagging, HMMs J&M Ch. 5, 6, NLTK Ch. 5
3/29 Lexical Semantics, word sense disambiguation J&M Ch. 19, 20
4/5 Parsing J&M Ch. 13, 14, 15
4/12Discourse Phenomena J&M Ch. 21
4/19Applications: Information extraction, named entity recognition J&M Ch. 22
4/21Applications: Machine Translation J&M Ch. 25
4/28TBA
5/3Project presentations