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Remastered course projects from CS288: Statistical Natural Language Processing with focus on machine translations, language modeling, encoding, and alignment.

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## CS288: Updated NLP Course Projects Spring 2021

Assignments for updated NLP course 

[email protected]

Tasks: 

a1: An improved, efficient Kneser-Ney trigram language model.

a2: Phrase-Based Decoding implementing 4 distinctive models.
 - Decoding monotonic beam-search without the language model
 - Monotonic beam search with integrated trigram language model
 - Beam search that implements limited distortion
 - Final model is under development

a3: Word-based alignment model.
 - Implemented heuristic aligner
 - IBM model 1 aligner with hard EM and soft EM implementations
 - Constructed HMM aligner 

a4: Semantic parser and classifier (to-be-processed shortly)

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Remastered course projects from CS288: Statistical Natural Language Processing with focus on machine translations, language modeling, encoding, and alignment.

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