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CPS 870

Applied Natural Language Processing

1.00 credits · Undergraduate

This course will examine the state-of-the-art in applied Natural Language Processing (NLP), with an emphasis on how well the algorithms work and how they can be used (or not) in applications. Topics will include POS tagging, parsing, language models and classification.

Prerequisites & course information

prerequisites: ( CPS 420 or MTH 210 ) and ( MTH 380 or MTH 304 )

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