Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/7649| Title: | COMP 4930H Topics: Natural Language Processing |
| Authors: | Waxman, Joshua |
| Keywords: | human language production tokenization morphological analysis syntax parsing algorithms NLP frameworks |
| Issue Date: | Jan-2021 |
| Citation: | Waxman, Joshua. (2021, Spring), Syllabus, COMP 4930H Topics: Natural Language Processing, Stern College for Women, Yeshiva University. |
| Series/Report no.: | SCW Syllabi;COMP 4930H |
| 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 |
| Description: | SCW syllabus / YU only |
| URI: | https://hdl.handle.net/20.500.12202/7649 |
| Appears in Collections: | Stern College Syllabi -- Spring and Fall 2021-2022 courses --- COMP (Computers) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| COMP4930H-NLP.Waxman.Spring-2021 O.pdf Restricted Access | 208.66 kB | Adobe PDF | View/Open |
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