Jan 30, 2026  
2026-2027 Undergraduate Catalog 
    
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2026-2027 Undergraduate Catalog
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MLAS 410 - Natural Language Processing

Credits: 3

This course gives an overview of modern data-driven techniques for natural language processing. We will discuss all the steps that are required for NLP such as text classification, neural nets for text classification, language modeling, word embedding, sequence labeling, context free grammar, constituency parsing, dependency parsing syntax, computational ethics, information extraction, conversational agents, machine translation and computational social science.

Repeat for Credit
N

Requisites
Prerequisite: MLAS 350

Typically Offered
Fall or Spring


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