iclf10_schedule

Introduction to computational linguistics, Fall 2010: Schedule

Schedule as of “Last modified” date at bottom. Subject to change.

Assignments are due at the end of their due date (midnight).

Readings can be done either before or after class; they are chosen to support the material covered in class.

Week 1

Date	Topic	Materials	Reading	Assignments
Aug 25	Introduction
Aug 27	A demo of the Natural Language Toolkit	Code for the demo: course archive, intro_py.zip	NLTK book ch. 1

Date	Topic	Materials	Reading
Aug 30	Working with text corpora	Slides: course archive, corpora.pdf	NLTK book ch. 2
Sep 1	Python basics	Worksheet: first steps in Python: course archive,intro_python.pdf	How to Think Like a Computer Scientist, ch.1 and ch.2
Sep 3	Python lists	Worksheet: Python lists: course archive, python_lists.pdf	HTTLCS, ch. 9

Date	Topic	Materials	Reading
Sep 6	Labor day
Sep 8	Python loops	Worksheet: conditions and repetition in Python: course archive,python_loops.pdf	HTTLCS, ch. 4 and ch. 6
Sep 10	Practising Python functions	Worksheet: practising Python: course archive, practising_python.pdf	HTTLCS, ch. 3 and ch. 5

Date	Topic	Materials	Reading	Assignments
Sep 13	Regular expressions	Since we'll also access files, here is information on how to access files in Python: course archive, python_files.ppt	J&M ch.2 first half	HW 1 due
Sep 15	More regular expressions	Overview: regular expressions in Python: course archive,regexp.pdf	NLTK ch. 3.4, 3.5
Sep 17	Finite-state automata		J&M ch.2 second half

Date	Topic	Reading
Sep 20	Finite-state automata and regular expressions
Sep 22	Words and transducers	J&M ch. 3, pp. 45-68
Sep 24	Computational morphology

Date	Topic	Materials	Assignments
Sep 27	Finishing up computational morphology. Then: Python dictionaries	Worksheet: Python dictionaries: course archive, python_dictionaries.ppt	HW 2 due
Sep 29	Using Python dictionaries: counting words
Oct 1	Sample Python programs	Worksheet: sorting lists in Python, two sample Python programs: course archive, python_sorting.ppt, sample_python_progs.zip

Date	Topic	Materials	Reading
Oct 4	Working with probabilities
Oct 6	Working with probabilities some more
Oct 8	Language models	Sample Python program useful for homework 3: course archive, dict_of_lists.zip	J&M ch. 4, pp 83-97

Date	Topic	Reading	Assignments
Oct 11	Part-of-speech tagging	J&M ch. 5 pp. 123-135, NLTK book ch. 5, sec. 5.1 and 5.2	HW 3 due
Oct 13	Review for the midterm
Oct 15	Part-of-speech tagging and finite-state automata	NLTK book ch. 5, sec 5.4	Take-home midterm exam

Date	Topic	Materials	Reading
Oct 18	Hidden Markov Models		J&M ch. 5 pp. 139-144, NLTK book ch. 5 sec. 5.5
Oct 20	Part-of-speech tagging and Hidden Markov Models	Python code for estimating HMM probabilities from the Brown corpus: course archive,hmm_estimate_probs.zip	J&M ch. 5 pp. 144-149, ch. 6 pp. 173-179
Oct 22	Chunking		NLTK book ch. 7, sec. 7.2 and 7.3

Date	Topic	Reading	Assignments
Oct 25	Context-free grammars	J&M ch.12, pp. 385-404	HW 4 due
Oct 27	Context-free grammars for fragments of English
Oct 29	The Chomsky hierarchy	J&M, ch. 16, pp 529-542

Date	Topic	Materials	Reading
Nov 1	Parsing: top-down and bottom-up	NLTK book ch. 8, 8.3 and 8.4 up to and including “Shift-Reduce Parsing”	J&M ch. 13, pp. 427-432
Nov 3	Chart parsing		J&M ch. 13 pp. 432-450
Nov 5	Statistical parsing		J&M ch. 14 pp. 459-463, 467

Date	Topic	Materials	Reading	Assignments
Nov 8	Semantics overview	Slides: course archive, semantics_overview.pdf		HW 5 due
Nov 10	Classification	Slides: making features: course archive,wsd_features.pdf
Nov 12	Word sense disambiguation		J&M ch. 20 pp. 637-645

Date	Topic	Materials	Reading
Nov 15	WordNet	Slides on WordNet: course archive,wordnet.pdf	J&M ch. 19, pp. 611-619
Nov 17	Vector space models of word meaning	Slides: vector space models for web search and word meaning. course archive,vs_ir.pdf	J&M ch. 20, pp. 658-663
Nov 19	Distributional similarity	Sample Python program: a very simple vector space program: course archive, vspace.zip	J&M ch. 20, pp. 663-667

Date	Topic	Reading	Assignments
Nov 22	Pattern-based approaches to learning semantics from text	J&M ch. 20, p. 667-670	HW 6 due
Nov 24	More on pattern-based approaches	J&M ch. 22, p. 725-727, 734-743
Nov 26	[Thanksgiving]

Date	Topic	Materials	Reading
Nov 29	Clustering		J&M ch. 20, p. 674-675
Dec 1	Machine translation	Slides: machine translation. course archive, mt.pdf	J&M ch. 25, p. 859-876
Dec 3	Review	Review sheet: course archive,final_review.pdf

Wednesday, December 8, 2:00-5:00 pm

icl_fall10.zip

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Katrin Erk,

Jan 6, 2012, 9:26 AM

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