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Undergraduate and Graduate Programs 2023-2024

CS 483 Natural Language Processing

History of natural language processing (NLP). The provenance of analysis and transformation of language by computational techniques. General linguistic preliminaries. Representations of text and speech that can aid prediction, extraction, and semantic reasoning over language. Automatic mining of knowledge from the web. The discipline of machine learning and its significance for NLP. Deep learning as a fundamental method for NLP. Recent technological developments in NLP, including automatic language translators such as Google Translate and personal assistants such as Siri. Credit units: 3 ECTS Credit units: 5, Prerequisite: (CS101 or CS115) and CS315 and MATH132 and (MATH225 or MATH220 or MATH241).

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