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@尊重智慧財產權,請同學勿隨意影印教科書 。 Please respect the intellectual property rights, and shall not copy the textbooks arbitrarily. |
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| 科目代碼 | ENC2036 | 課程名稱 | 語料庫語言學 |
| 英文名稱 | Corpus Linguistics | ||
| 全/半年 | 半 | 必/選修 | 選修 |
| 學分數 | 3.0 | 每週授課時數 | 正課時數: 3.0 小時, 實驗時數: 0.0 小時 |
| 先修課程 | |||
| 課程簡介 | This course aims to introduce theories and practices of Corpus Linguistics as a scientific discipline of its own. Corpus Linguistics has now been considered an interdisciplinary subject, requiring knowledge of linguistic theories, quantitative statistics and data processing. Therefore, this course will provide not only the necessary theoretical foundation but also practical computational skills for students who are interested in conducting corpus-based linguistic research or language-related research. This course is extremely hands-on and will lead the students through classic examples of these corpus-based applications via in-class theme-based tutorial sessions. Unlike most of the corpus linguistic courses offered in other universities, we do not introduce you to ready-made applications or software packages (e.g., Wordsmith, AntConc, Sketch Engine, LancBox, etc.). We hope to point you to the power of coding in computational text analytics. By the end of this course, students should be expected to have achieved the necessary computational proficiency and be able to perform comparable corpus-based analyses on their own data or research questions. In particular, the weekly tutorials will stress the issues of computational text analytics (e.g., web crawling, regular expression, tokenization, segmentation, concordances, collocations, keyword analysis) and statistical processing (e.g., parametric statistical analyses) via hands-on implementation with the language. This course will be a prerequisite for more advanced courses such as ENC2045 Computational Linguistics and ENC2056 Topics on Quantitative Corpus Linguistics. | ||
| 課程目標 | 對應系所核心能力 | ||
| 1. This course offers an introduction of corpus linguistics for graduate students, including the necessary tools and techniques for doing corpus-based studies and annotation projects. |
碩士: 1-1 具備深化專業知識範疇及其學術研究之能力 2-1 能有效運用英語於專業領域及相關職場上的溝通 2-3 具有運用多媒體及資訊科技之能力 3-2 具有獨立思考、發掘問題及批判之能力 博士: 1-1 獨立從事專業學術研究的能力 2-1 有效應用英語於專業領域及相關職場之能力 2-2 以專業擷取新知，加以整合創新及運用之能力 3-2 具有獨立思考、發掘問題及批判之能力 |
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