New York University 4 credits Computer Science
This course offers an in-depth introduction to Arabic Computational Linguistics (CL), aka Arabic Natural Language Processing (NLP), focusing on the unique challenges presented by Arabic as a computational object of study. Students will learn about core enabling technologies for natural language processing (NLP) in general but with a strong focus on the Arabic language and its dialects. The course will include text normalization, morphological analysis, syntactic parsing, and semantic analysis. The course will integrate theory and hands-on experience, including applied machine learning techniques and practical applications like machine translation, sentiment analysis, more. By the end of the course, students will be equipped to contribute to advancements in Arabic CL/NLP research and development. Previous knowledge of Arabic is not required. The course will be taught in English. Prerequisites: CS-UH 1050 Data Structures OR ENGR-UH 3510.
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