Module
Light Intro to NLP as AI Application
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About
Language as search/inference problem: n-grams, simple parsing or sequence labeling as dynamic programming/search, bag-of-words classification, word embeddings conceptual intro; ethics/bias note.
Goal
Implement a bigram language model or simple text classifier; frame POS tagging or parsing as a search/optimization problem; identify limitations of classical symbolic approaches.
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