Natural Language Processing (202-2-5211)

1. Linguistic Concepts
2. Context Free Grammars Parsing
3. Compositional Semantic from CFG Parsing
4. Advanced Syntactic Issues: quantification, accessibility, binding and control
5. First-Order Logic
6. Semantic Interpretation and DCGs
7. Language Models and n-grams
8. Additions on DCGs (for HW2)

• Assignment 1: Context Free Grammars: Due date Mon April 2nd.
• Assignment 2: Semantic Interpretation: Due date July 10th to 17th (by appointment).
  UPDATED JUNE 19 - Some info added in assignment.
  UPDATED JULY 10 - Updated code and examples here.

• NLTK Installation: Nltk is a Python based toolkit with wide coverage of NLP techniques - both statistical and knowledge-based.
• SISC Scheme Interpreter: we use Scheme examples to demonstrate algorithms in parsing, generation and some semantic analysis. This interpreter is very small and convenient to use on any platform supporting Java (full version is 2.4MB with full doc - jar is 300KB).
• SWI Prolog - a Prolog Interpreter for running the Computational Semantics programs.

• Bob Carpenter's Computational Linguistics Syllabus - Excellent collection of references in the field.
• The LingPipe Java library suite - by Bob Carpenter. Information extraction and data mining tools.
• The NLTK Toolkit - Python toolkit with thorough tutorial on all Natural Language topics.
• Introduction to Natural Language Processing, by Steven Bird, Ewan Klein and Edward Loper, 2007, distributed on the NLTK site.
• Representation and Inference for Natural Language A First Course in Computational Semantics, by Patrick Blackburn and Johan Bos
• Learn Prolog Now