Topic

No. of h3ours

Lecture

Tutorial/Practical

Introduction. 

3

3

-

Estimation Techniques, and Language Modeling. 

3

3

-

Parsing and Syntax. 

3

3

-

The EM Algorithm in NLP.

3

3

-

Stochastic Tagging, and Log-Linear Models. 

3

3

-

Probabilistic Similarity Measures and Clustering.

3

3

-

Machine Translation .

6

6

-

Discourse Processing: Segmentation, Anaphora. 

3

3

-

Dialogue Systems .

3

3

-

Natural Language Generation/Summarization. 

6

6

-

Unsupervised Methods in NLP. 

6

6

-