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 
<br>natural 
<br>language processing. Each session will start with explanation of background, experiental data, 
<br>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.  每週準備一個題目與實驗資料，題目為基本的研究任務（通
<br>常由某
<br>一篇論文取材）。老師會先講解背景與題目（30─60分鐘），之後同學開始寫程式解決問題。過程中，如果
<br>有問題
<br>可以互相討論，或詢問助教、老師。我們要求當天做完題目，將結果展示給助教，助教根據結果的正確性與完
<br>成時間
<br>打分數，並隨時公布最新的累積分數資料。學期的分數就是每週分數的總和。
<br>
<br>Note: (1) 第一週再原訂時間（9/27 星期五上課），之後預計改為星期三下午第7,8,9堂上課。
<br>         (2) 上課地點為舊資電館 326 室（使用 iMac 電腦）。
<br>
<br>The list of topics planned for the Fall, 2013 is as follows:
<br>
<br>Topics
<br>
<br>2014
<br>09/16	1. Python introduction (file handling, n grams)
<br>
<br>09/23	2. Language model and ngrams
<br>09/30 	3. Extracting collocations from ngram
<br>10/07	4. Using MapReduce to handle big data
<br>10/14	5. Using MapReduce to extract collocations
<br>10/21	6. Using MapReduce to extract collocations (II)
<br>
<br>
<br>10/28	7. Pig
<br>11/04	8. Using MapReduce to extract GDEX
<br>11/11	9. Tiny search engine
<br>11/18	10. Using Maximum Entropy Model to correct grammatical errors
<br>11/25	11. EM Algorithm
<br>12/02	12. Project Announcement
<br>12/09	13. Project discussion
<br>12/16	14. Project discussion 
<br>12/23	15. Project discussion 
<br>12/30	16. Project presentation 
<br>
<br>2015
<br>01/06	17. Project presentation 
<br>01/13	18. Project presentation