應用語料庫工具改正英文錯誤之效能研究
No Thumbnail Available
Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
由於科技進步,越來越多語料庫工具透過大數據分析,將語料以頻率高
低排列,以協助使用者了解常用英文詞句搭配。過去研究證實學習者能有效
使用語料庫工具搜尋語料,進而改正其英文寫作文法錯誤,甚至是更正不同
類型的英文文法錯誤。然而,過去有研究指出每種語料庫工具因其不同設計
目的,皆有其優點及限制。越來越多學者因而提出使用及研究多於一種語料
庫工具並比較不同語料庫工具在錯誤改正上之效能,特別是使用包含豐富語
料及簡單易操作介面的語料庫工具,以協助英語學習者使用語料庫改正不同
類型的英文文法錯誤。
本研究目的為比較兩種符合上述兩大條件的語料庫工具,並研究其在十種英文文法錯誤類型上的改正效用。本研究之四名受試者為就讀大學且英文能力中級的英文學習者,其中兩名受試者會先使用語料庫工具 Netspeak 進行錯誤改正,並再以另一語料庫工具 Linggle 進行錯誤改正;另兩名會以相反的順序改正錯誤。研究工具包含錯誤例題試卷及答案、前後測態度問卷及學習者搜尋歷程之記錄。本研究分析英文學習者以兩種工具更正十種錯誤類型答案比例、學習者之搜尋歷程及學習者對語料庫工具之態度。
研究結果指出兩種語料庫工具皆能有效的協助學習者更正十種英文文
法錯誤類型。其中部分錯誤類型有較高的更正率,但部分錯誤類型卻發現無
法被兩種語料庫工具更正。此外,搜尋歷程顯示學習者能有效使用搜尋符碼
並發展搜尋策略。本研究也發現學習者對這兩種語料庫工具抱持正向態度,
且未來也願意繼續使用這兩種語料庫工具進行語言學習。
Studies showed that learners could use corpus tools to correct different types of error; however, each corpus tool may have its strength and weakness based on the design purpose. Thus, an increasing number of scholars advocated the use of more than one corpus tool to facilitate learners to do data-driven learning (DDL). Among various corpus tools that were analyzed, it is found that corpus tools with two features that could be helpful for learners to correct errors, which are gigantic corpora and user-friendly interface similar to search engines. Netspeak and Linggle are two powerful corpus tools compass copious corpora and user-friendly interface similar to search engines that are suitable for DDL. The present study aims at analyzing the effects of Netspeak and Linggle on assisting learners to correct the ten types of error. Four intermediate college learners were recruited. Two of them used Netspeak and then used Linggle to correct errors; the other two learners used the two corpus tool in reverse orders. The instruments include the error correction tasks, leaners’ searching logs, and pre-and post-questionnaires. Three aspects were examined, which are types of error that learners could correct by using the two corpus tools, the error correction processes, and learners’ attitudes toward the two corpus tools. The results showed that two corpus tools were found to be useful for learners to correct the ten types of error. The two corpus tools were found to be more useful to correct some error types while others may not be corrected by using the corpus tools.Moreover, it is found that learners used operators with various strategies while correcting errors. Finally, learners held positive attitudes toward to two corpus tools and were willing to use them in the future.
Studies showed that learners could use corpus tools to correct different types of error; however, each corpus tool may have its strength and weakness based on the design purpose. Thus, an increasing number of scholars advocated the use of more than one corpus tool to facilitate learners to do data-driven learning (DDL). Among various corpus tools that were analyzed, it is found that corpus tools with two features that could be helpful for learners to correct errors, which are gigantic corpora and user-friendly interface similar to search engines. Netspeak and Linggle are two powerful corpus tools compass copious corpora and user-friendly interface similar to search engines that are suitable for DDL. The present study aims at analyzing the effects of Netspeak and Linggle on assisting learners to correct the ten types of error. Four intermediate college learners were recruited. Two of them used Netspeak and then used Linggle to correct errors; the other two learners used the two corpus tool in reverse orders. The instruments include the error correction tasks, leaners’ searching logs, and pre-and post-questionnaires. Three aspects were examined, which are types of error that learners could correct by using the two corpus tools, the error correction processes, and learners’ attitudes toward the two corpus tools. The results showed that two corpus tools were found to be useful for learners to correct the ten types of error. The two corpus tools were found to be more useful to correct some error types while others may not be corrected by using the corpus tools.Moreover, it is found that learners used operators with various strategies while correcting errors. Finally, learners held positive attitudes toward to two corpus tools and were willing to use them in the future.
Description
Keywords
語料庫工具, 英文文法錯誤, 錯誤類型, 錯誤更正, 搜尋歷程, 大學生, corpus tools, grammatical error, error correction, error type, DDL, EFL