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Learning to construct English (L2) sentences in a bilingual corpus-based system.

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Title: Learning to construct English (L2) sentences in a bilingual corpus-based system.
Authors: Yang, Yu-Fen1 yangy@yuntech.edu.tw, Wong, Wing-Kwong1, Yeh, Hui-Chin1
Source: System. Sep2013, Vol. 41 Issue 3, p677-690. 14p.
Subject Terms: *English composition, *Bilingual education, *Grading of students, English language sentences, Corpora, Error detection (Information theory)
Abstract: Abstract: Few students who learn English as a Foreign Language (EFL) could benefit from bilingual corpus-based systems if instruction on metalinguistic awareness is not provided. This study reports on a bilingual corpus-based system with error-detection and grading mechanisms to arouse students' metalinguistic awareness in constructing English (L2) sentences from Chinese (L1) texts. Sixty-three college students were grouped into 35 more proficient (MP) and 28 less proficient (LP) students to perform the following procedure: (1) read each sentence from L1 texts to form L2 sentences; (2) receive the graded results as feedback and reconstruct the fragmented English sentences if necessary; (3) review all of the translated sentences (L2) in the history record, then (4) make further revisions to the sentences in (3) as appropriate. The results show that both the MP and the LP students made progress with the support of error-detection and grading mechanisms. Particularly, the LP students made more progress than the MP students did by demonstrating a higher frequency of using these two mechanisms to monitor the syntactic similarities and differences between L1 and L2, repair the syntactic errors, and thus conceptualize the correctness of L2 sentences. The students' perceptions toward sentence construction tasks were elaborated in this study. [Copyright &y& Elsevier]
Copyright of System is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: Learning to construct English (L2) sentences in a bilingual corpus-based system.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Yu-Fen%22">Yang, Yu-Fen</searchLink><relatesTo>1</relatesTo><i> yangy@yuntech.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Wong%2C+Wing-Kwong%22">Wong, Wing-Kwong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yeh%2C+Hui-Chin%22">Yeh, Hui-Chin</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22System%22">System</searchLink>. Sep2013, Vol. 41 Issue 3, p677-690. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22English+composition%22">English composition</searchLink><br />*<searchLink fieldCode="DE" term="%22Bilingual+education%22">Bilingual education</searchLink><br />*<searchLink fieldCode="DE" term="%22Grading+of+students%22">Grading of students</searchLink><br /><searchLink fieldCode="DE" term="%22English+language+sentences%22">English language sentences</searchLink><br /><searchLink fieldCode="DE" term="%22Corpora%22">Corpora</searchLink><br /><searchLink fieldCode="DE" term="%22Error+detection+%28Information+theory%29%22">Error detection (Information theory)</searchLink>
– Name: Abstract
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  Data: Abstract: Few students who learn English as a Foreign Language (EFL) could benefit from bilingual corpus-based systems if instruction on metalinguistic awareness is not provided. This study reports on a bilingual corpus-based system with error-detection and grading mechanisms to arouse students' metalinguistic awareness in constructing English (L2) sentences from Chinese (L1) texts. Sixty-three college students were grouped into 35 more proficient (MP) and 28 less proficient (LP) students to perform the following procedure: (1) read each sentence from L1 texts to form L2 sentences; (2) receive the graded results as feedback and reconstruct the fragmented English sentences if necessary; (3) review all of the translated sentences (L2) in the history record, then (4) make further revisions to the sentences in (3) as appropriate. The results show that both the MP and the LP students made progress with the support of error-detection and grading mechanisms. Particularly, the LP students made more progress than the MP students did by demonstrating a higher frequency of using these two mechanisms to monitor the syntactic similarities and differences between L1 and L2, repair the syntactic errors, and thus conceptualize the correctness of L2 sentences. The students' perceptions toward sentence construction tasks were elaborated in this study. [Copyright &y& Elsevier]
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  Data: <i>Copyright of System is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.system.2013.07.014
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        Text: English
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      – SubjectFull: Grading of students
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      – SubjectFull: English language sentences
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      – SubjectFull: Error detection (Information theory)
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      – TitleFull: Learning to construct English (L2) sentences in a bilingual corpus-based system.
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              Text: Sep2013
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