Week 1 
INTRODUCTION: the NLP enterprise, from words to meaning

Reading in Textbook
or Notes

W 02/06 
Introduction,
Organization, Homeworks. Course Overview: Intro to NLP. Main Issues; fsa's
[ppt] [pdf]
[ps] For
fun, try this link: postmodern 
Notes
1

Week 2 
WORD MODELING: automata and linguistics


M 02/12 
Linguistics:
Phonology and Morphology I.; 2level morphology, Kimmo Notes
2 here: [pdf][ps]
Lab 1a here: [pdf]
[ps] 
Notes
2

W 02/14 
Linguistics:
Phonology and Morphology II. 

Week 3 
WORD MODELING: statistical approaches & part of speech tagging

Ch.2, 10

T 02/20 
President's Day Class (MIT turns Tuesday into
Monday)
Elements of Probability & Information Theory; HMMs [ppt]
[pdf][ps]
Lab
1b here: [pdf]
[ps] 

W 02/21 
HMM Tagging;
Statistical Transformation RuleBased Tagging; Precision, Recall, Accuracy.
[ppt] [pdf][ps
For fun (and learning) try this link to an
online Brill tagger here.
Note:
Default tagging is for Swedish. Click 'English' and click tracing on if
you want to see how it works. 

Week 4 
LINGUISTICS & GRAMMARS; PARSING ALGORTHMS I

Ch.3, Notes
3[pdf] [ps]

M 02/26 
Introduction
to Parsing. Generative Grammars. Properties of Regular and Contextfree
Grammars. Nonstatistical Parsing Algorithms (An Overview). Simple topdown
parser with backtracking. [pdf][ps] 

W 02/28 
Linguistics:
Syntax & Parsing Lab 2 here: [pdf]
[ps] 

Week 5 
PARSING ALGORITHMS II

Notes
4[pdf][ps]

M 03/05 
ShiftReduce
Parsers in Detail. Earley's Algorithm and Chart Parsing [ppt]
[pdf] 

W 03/07 
Contextfree
Parsing and Beyond: Efficiency Issues; Featurebased parsing; NL system
design [ppt][pdf] 

F 03/09 
Add Date 

Week 6 
FEATUREBASED PARSING


M 03/12 
Feature
based Parsing I [ppt]
[pdf] 

W 03/14 
Feature
based Parsing II [ppt]
[pdf] 

Week 7 
TREE BANKS & PROBABILISTIC PARSING

Chs. 9, 11, 12

M 03/19 
Probabilistic
Parsing: Introduction. Probabilistic CFG: Best parse. Probability of a
string. [ppt]
[pdf] 

W 03/21 
PCFG Parameter
Estimation and Learning. [ppt]
[pdf] 

3/263/30 
No classes  Spring Break. Go to someplace
warm if you can. 

Week 8 
SEMANTIC INTERPRETATION

Notes
5

M 04/02 
PCFG learning:
insideoutside algorithm [ppt]
[pdf] 

W 04/04 
Semantic
Interpretation I: compositionality [ppt]
[pdf] 

Week 9 
SEMANTICS II

Chs. 5, 7, 8

M 04/09 
Semantic
Interpretation II: compositionality and quantifiers [ppt]
[pdf] 

W 04/11 
Semantic
Interpretation III [ppt]
[pdf] 
Week 10 
WORDS & LEXICAL SEMANTICS, I


M 04/16 
No class  Patriot's Day. Run the Boston
Marathon if you can. 

W 04/18 
Lexical
Semantics I [ppt]
[pdf] 

Week 11 
WORDS & LEXICAL SEMANTICS, II


M 04/23 
Lexical
Semantics II: the internal structure of words [ppt]
[pdf] 

W 04/25 
Word sense
diambiguation and information retrieval [ppt]
[pdf] 

F 04/27 
Drop Date 

Week 12 
MACHINE TRANSLATION, I

Notes
6

M 04/30 
Principlebased
Parsing [ppt]
[pdf] 

W 05/02 
Classical
Models of Machine Translation: an Overview [ppt]
[pdf] 

Week 13 
MACHINE TRANSLATION, II


M 05/07 
Statistical
Machine Translation (MT).Alignment and Parameter Estimation for MT, I
[ppt]
[pdf] 

W 05/09 
Language
learning I [ppt]
[pdf] 

Week 14 
EVOLUTIONARY MODELS OF LANGUAGE LEARNING & ORIGINS

Notes
7

M 05/14 
Computational
Models of Language Learning [ppt]
[pdf] 

W 05/16 
Final project due. Computational
Models of Language Change and the Origins of Language 
