COMP 4930H Topics: Natural Language Processing
| dc.contributor.author | Waxman, Joshua | |
| dc.date.accessioned | 2021-11-02T17:22:57Z | |
| dc.date.available | 2021-11-02T17:22:57Z | |
| dc.date.issued | 2021-01 | |
| dc.description | SCW syllabus / YU only | en_US |
| dc.description.abstract | Overview: We will explore algorithms for understanding and producing human language. We will consider NLP applications of tokenization, word and sentence segmentation, part-of-speech tagging, morphological analysis, syntax parsing, and more. We will explore the overlap between NLP, information retrieval, machine learning and deep learning. Practically, we will implement many of these algorithms or utilize popular NLP frameworks to apply these algorithms. Prerequisites: Data Structures and Calculus | en_US |
| dc.identifier.citation | Waxman, Joshua. (2021, Spring), Syllabus, COMP 4930H Topics: Natural Language Processing, Stern College for Women, Yeshiva University. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12202/7649 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | SCW Syllabi;COMP 4930H | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | human language production | en_US |
| dc.subject | tokenization | en_US |
| dc.subject | morphological analysis | en_US |
| dc.subject | syntax parsing | en_US |
| dc.subject | algorithms | en_US |
| dc.subject | NLP frameworks | en_US |
| dc.title | COMP 4930H Topics: Natural Language Processing | en_US |
| dc.type | Learning Object | en_US |
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