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 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, 2012 is as follows. 
<br>
<br>	Topics
<br>
<br>2012
<br>
<br>9/17		1. Python introduction (file handling, n grams)
<br>9/24		2. Corpus Processing and Ngrams and Ngram Precision (BLEU)
<br>10/1 	3. Hidden Markov Model and Dynamic Programming
<br>10/8		4. POS Tagging and Brill's tagger
<br>10/15	5. NLTK and WordNet
<br>10/22	6. Extracting Collocations
<br>
<br>10/29	Midterm 
<br>
<br>11/5		7. Classifying AN-VN Collocations
<br>11/12	8. Clustering Collocations
<br>11/19	9. Class-based Baysian Model
<br>11/26	10. Finding Best Example Sentences
<br>12/3		11. EM Algorithm
<br>12/10	12. Word Alignment with IBM Model 1
<br>12/17	13. Conditional Random Field
<br>12/24	14. Chinese Word Segmentation
<br>
<br>12/31	New Year Holiday
<br>
<br>2013
<br>
<br>1/7		Final Exam