Computational Linguistics Syllabus

Course Outline

Linguistics 581







Thu Jan 21 Chapter 1 and Section 2.1 of Chapter 2. Jurafsky and Martin (J&M) History of Computational Linguistics. Regular Expressions and Unix demo. Assignment 1. Some history. Textbook intro. Polish fried fish. What is Computational Linguistics?  
Tue Jan 26 Chapter 2, 2.1-2.4 Finite-State Automata   Textbook Ch. 2 slides Non-deterministic automata, epsilon transitions    
Thu Jan 28 Jury Duty Jury Duty Jury Duty Jury Duty Jury Duty
Tue Feb 02 Reading: Sections 3.1-3.3 of Chapter 3. Introducing words and word parts. Sections 3.4-3.9 of Chapter 3. Assignment 2 Installing Python. Textbook Ch. 3 slides Introduction to transducers    
Thu Feb 04          
Tue Feb 09 Chapter 3. XFST intro. XFST assignment (Due Feb. 18) [Compling lab (if needed): SHW 243]      
Thu Feb 11          
Tue Feb 16 Chapter 4: J&M. 4.1-4.3. Word counting, frequency dictionaries, simple ngram models, the training corpus.   Ngrams Brief probability intro Introduction to NLTK. Peter Norvig on ngrams, word segmentation, spelling correction, statistical machine translation.    
Thu Feb 18          
Tue Feb 23 Section 4.1-4.5 of chapter 4. Practicalities. Sections 4.5.3 Chapter 4. Sections 4.4 and 4.5.1, 4.5.2 Chapter 4. Smoothing, Add-1 smoothing, Kneser-Ney smoothing. Unknown words. NLTK assignment, using Pylab, importing NLTK corpora. Lecture. Smoothing Lecture. Kneser-Ney Lecture.    
Thu Feb 25          
Tue Mar 01 5.1-5.4. Word-class and part of speech tagging. Rule-based taggers. The Pollard assignment and smoothing assignment are due next week. Lecture. Tagging slides    
Thu Mar 03          
Tue Mar 08 Chapter 5 of the NLTK book.Taggers used on data. Tagging Assignment. Tagging slides    
Thu Mar 10          
Tue Mar 15 Chapter 5 of the NLTK book.Taggers used on data. Computing Viterbi by hand. Tagging slides    
Thu Mar 17          
Tue Mar 22 Chapter 12. Context Free Grammars of English, Treebanks Assignment: Midterm, part I Midterm, part II (tagging) NLTK taggiong assignment answer topdown lecture Lecture: Top down parsing. Parsing as search.   td_parser-0.1:an implementation of a recursive descent top down recognizer.
Thu Mar 24          
Tue Mar 29 H'day H'day H'day H'day H'day
Thu Mar 31 H'day H'day H'day H'day H'day
Tue Apr 05 Chapter 13.1 Parsing. CKY algorithm (bottum up parsing with a chart), Earley algorithm (top down parsing with chart) Grammar assignment Parsing assignment      
Thu Apr 07          
Tue Apr 12 Chapter 14. Probabilistic Context Free Grammars Assignment: Prob parsing assignment, CKy implementation in these notes Lecture    
Thu Apr 14          
Tue Apr 19 Chapter 19. Lexical Semantics. Chapter 20. Computational Lexical Semantics. Assignment: Lexical semantics assignment      
Thu Apr 21          
Tue Apr 26 Chapter 20. Computational Lexical Semantics.