Middlebury

CSCI 0457

Natural Language Processing

Natural Language Processing
In this course we will explore computational models for processing natural (human) language. We will introduce statistical and algorithmic techniques that are used to classify, generate, and understand language at the syntactic and semantic levels. We will explore applications such as parsing, information extraction, language modeling, and sentiment analysis. Assignments will involve constructing and modifying systems and will incorporate a variety of large corpora. We will also discuss the ethical concerns associated with current methods for collecting and labeling large corpora, and how language technologies might reflect and reinforce social hierarchies. This course fulfills the Responsible Computing requirement for the Computer Science major. (CSCI 0200 and CSCI 0201)
Subject:
Computer Science
Department:
Computer Science
Division:
Natural Sciences
Requirements Fulfilled:
DED

Sections

Spring 2025

CSCI0457A-S25 Lecture (Biester)

Spring 2024

CSCI0457A-S24 Lecture (Biester)
CSCI0457B-S24 Lecture (Biester)

Fall 2011

CSCI0457A-F11 Lecture (Kauchak)