Course Title：自然語言處理實作 
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<br>(Natural Language Processing Lab)
<br>Course number：CS 563200  3 credits
<br>Instructor： Jason S. Chang 張俊盛
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<br>The course consists of a set of small exercises on natural language processing based on statistical 
<br>approach. The purpose is to give students opportunity to work with real problems and data in natural 
<br>language processing. Each session will start with explanation of background, experiental data, and 
<br>snippets of code. The students are required to do the assignment in class. The instuctor and teaching 
<br>assistants will be on hand to help students. The list of topics planned for the Fall, 2006 is as follows. 
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<br>	Topics
<br>	1.	Introduction
<br>	2.	Using Foxpro for NLP programming
<br>	3.	Keyword Extraction and Statistical Improbable Phrases (SIP)
<br>	4.	Corpus and text processing: sentence splitting and word counting 
<br>	5.	Take home exercise
<br>	6.	Parameter estimation of N-gram model
<br>	7.	Bag Translation using N-gram model
<br>	8.	Collocation Extraction and Log Likelihood Ratio
<br>	9.	Edit Distance and Dynamic Programming
<br>	10.	Sentence Alignment Experiment (English-Chinese parallel text)
<br>	11.	Word Alignment (WA) Via IBM Model 1
<br>	12.	Class-based WA using WordNet Lexicographer Files
<br>	13.	Word Translation Disambiguation (WTD)
<br>	14.	Class-based WTD using WordNet Lexicographer Files
<br>	15.	Machine transliteration or Text Categorization
<br>	16.	Bilingual Concordance
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