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Computational Linguistics
Course title
Computational Linguistics
Instructor
Yuyin He
Instructor’s profile
Dr. Yuyin He obtained her doctor degree from Communications University of China. Her research interests are computational linguistics and corpus linguistics.
Course goals
This course aims to provide students with the fundamentals of computational concepts and methods as these are applied to the study of natural language. Students will gain understanding of and experience with core techniques in English and Chinese natural language processing.
Topics
Topics to be covered in this course include overview of computational linguistics, automata and grammars, POS tagging systems, top-down and bottom-up parsing methods, syntactic formalisms, dependency grammar and Python NLTK Toolkit.
Assessment
Mid-term paper and final paper
Reference books
《计算语言学概论》,俞士汶主编,商务印书馆,2003年9月第1版
《计算语言学与汉语自动分析》,侯敏,北京广播学院出版社,1999年12月第1版
《计算语言学基础》,冯志伟,商务印书馆,2001年8月第1版
Jurafsky, D. & Martin, J. Speech and Language Processing, Prentice Hall, 2000, New Jersey.
Natural Language Processing with Python, Steve Bird, Ewan Klein & Eward Loper, O’Reilly, 2009;《Python自然语言处理》(影印版),东南大学出版社,2010
Working language
Mainly Chinese
Notes
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2011
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