Course Title：自然語言處理實作 
<br>
<br>(Natural Language Processing Lab)
<br>Course number：CS 563200  3 credits
<br>Instructor： Jason S. Chang 張俊盛
<br>
<br>The course consists of a set of small exercises on natural language processing based on 
<br>statistical 
<br>approach. The purpose is to give students opportunity to work with real problems and data 
<br>in natural 
<br>language processing. Each session will start with explanation of background, experiental 
<br>data, and 
<br>snippets of code. The students are required to do the assignment in class. The instuctor and 
<br>teaching 
<br>assistants will be on hand to help students. The list of topics planned for the Fall, 2006 is 
<br>as follows. 
<br>
<br>	Topics
<br>9/24	1. Python introduction (file handling, n grams)
<br>10/1	2. Corpus Processing and Ngrams and Ngram Precision (BLEU)
<br>10/8	3. Edit Distance and Dynamic Programming
<br>10/15	4. Sequence Labeling (POS tagger)
<br>10/22	5. Natural language processing using NLTK and WordNet
<br>10/29	6. Collocations (in Python)
<br>11/5	Midterm 
<br>11/12	7. Collocations (Using MapReduce and Web 1T)
<br>11/19	8. Using MapReduce to build VerbOcean
<br>11/26	9. Statistical Classifier (ME Model) - Sentence Matching
<br>12/3	10. Sentence Alignment
<br>12/10	11. IBM Model 1
<br>12/17	12. Constructing Bilingual Phrases Based on Consistent Block
<br>12/24	13. Machine Translation Decoder (I)
<br>12/31	14 Machine Translation Decoder (II)
<br>1/7	Final Exam
<br>