NLPLab

Natural Language Processing Experiments

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Summary

This projects host some experiments related to Natural Language Processing, organized in two different parts: Morphological & Syntactic analysis, Semantic analysis.

Morphological & Syntactic analysis contains:

• An Hidden Markov Model PoS Tagger implementation and a Most Frequent PoS Tagger, with a benchmark utility
• A PCFG parser (with CKY algorithm implementation) with benchmark
• A sample translator from English to Yoddish (i.e. switching from SVO syntax to XSV)

Semantic analysis contains:

• A WSD sample project (using WordNet & BabelNet)
• A Rocchio classification algorithm implementation
• A RDF & SPARQL sample project

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These experiments are part of Cognitive Systems course from University of Turin.