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課程名稱 |
語料庫語言學
Corpus Linguistics |
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開課學期 |
107-1 |
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授課對象 |
文學院 語言學研究所 |
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授課教師 |
謝舒凱 |
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課號 |
LING7424 |
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課程識別碼 |
142EM1060 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期四6,7,8(13:20~16:20) |
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上課地點 |
文19 |
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備註 |
本課程以英語授課。歡迎文學院、社科院同學修習。
總人數上限：50人
外系人數限制：5人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1071LING7424_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
This course is open to undergraduate and graduate students with major in Linguistics and Languages. This course will cover the fundamentals of computer programming skills in Python/NLTK, a very popular programming language and modules for many linguistic applications. This course will be taught in English and assumes only minimal background with computers, no programming skills or knowledge are required. |
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課程目標 |
This course is open to undergraduate and graduate students with major in Linguistics and Languages. This course will cover the fundamentals of computer programming skills in Python/NLTK, a very popular programming language and modules for many linguistic applications. This course will be taught in English and assumes only minimal background with computers, no programming skills or knowledge are required. |
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課程要求 |
You are expected to complete weekly readings and assignments, and actively participate in both class and online activities. A course website with NTU-CEIBA is already set up for this course. Check it out at https://ceiba.ntu.edu.tw/1001programning_ling.
Each class will be divided into two sessions: lecture and discussion (two hours), and in-class Lab session (one hour). Lab session will give participants hands-on experience in writing simple Python programs.
You are expected to submit a term project involving basic python programming technique. You will be asked to turn in a proposal early in the semester so that I can help you design and execute your project. Proposed topics will also be discussed in class later.
There will be no exams. Grading is based on : 60% of the grade will be based on participation and exercises. Students will be given several in-class and homework assignments. The remaining 40% will be based on their performance on a project, including the effort going into its development and the quality of their written and oral presentation of it during the last week of class.
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
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參考書目 |
Hetland, Magnus Lie. Beginning Python: From Novice to Professional. Apress.
Johnson, Mark. 2009. Essential Python for Corpus Linguistics. Blackwell, New York.
Kennedy, Graeme. 1998. An Introduction to Corpus Linguistics. Longman.
Lutz, Mark. 2008. Learning Python. O'REILLY.
Merz, David. 2003. Text Processing in Python. Addison-Wesley, Reading, USA.
Sampson, Geoffrey and Diana McCartthy. 2004. Corpus Linguistics: Readings in a Widening Discipline. Continuum.
Scott, Mike and Christopher Tribble. 2006. Textual Patterns: Key words and corpus analysis in language education. John Benjamins.
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評量方式
(僅供參考) |
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