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Building an automated English sentence evaluation system for students learning English as a second language

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Title: Building an automated English sentence evaluation system for students learning English as a second language
Authors: Lee, Kong Joo1 kjoolee@cnu.ac.kr, Choi, Yong-Seok2 angelove@kriss.re.kr, Kim, Jee Eun3 jeeeunk@hufs.ac.kr
Source: Computer Speech & Language. Apr2011, Vol. 25 Issue 2, p246-260. 15p.
Subjects: Second language acquisition, English language sentences, Error analysis in mathematics, Human-computer interaction, Acquisition of data, English language writing, Automatic data collection systems
Abstract: Abstract: This paper presents an automated scoring system which grades students’ English writing tests. The system provides a score and diagnostic feedback to students without human’s efforts. Target users are Korean students in junior high schools who learn English as a second language. The system takes a single English sentence as its input. Dealing with a single sentence as an input has some advantages on comparing the input with the answers given by human teachers and giving detailed feedback to the students. The system was developed and tested with the real test data collected through English tests given to third grade students in junior high school. Scoring requires two steps of the process. The first process is analyzing the input sentence in order to detect possible errors, such as spelling errors and syntactic errors. The second process is comparing the input sentence with given answers to identify the differences as errors. To evaluate the performance of the system, the output produced by the system is compared with the result provided by human raters. The score agreement value between a human rater and the system is quite close to the value between two human raters. [ABSTRACT FROM AUTHOR]
Copyright of Computer Speech & Language is the property of Academic Press Inc. 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: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Computer+Speech+%26+Language%22">Computer Speech & Language</searchLink>. Apr2011, Vol. 25 Issue 2, p246-260. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Second+language+acquisition%22">Second language acquisition</searchLink><br /><searchLink fieldCode="DE" term="%22English+language+sentences%22">English language sentences</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22English+language+writing%22">English language writing</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+data+collection+systems%22">Automatic data collection systems</searchLink>
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  Data: Abstract: This paper presents an automated scoring system which grades students’ English writing tests. The system provides a score and diagnostic feedback to students without human’s efforts. Target users are Korean students in junior high schools who learn English as a second language. The system takes a single English sentence as its input. Dealing with a single sentence as an input has some advantages on comparing the input with the answers given by human teachers and giving detailed feedback to the students. The system was developed and tested with the real test data collected through English tests given to third grade students in junior high school. Scoring requires two steps of the process. The first process is analyzing the input sentence in order to detect possible errors, such as spelling errors and syntactic errors. The second process is comparing the input sentence with given answers to identify the differences as errors. To evaluate the performance of the system, the output produced by the system is compared with the result provided by human raters. The score agreement value between a human rater and the system is quite close to the value between two human raters. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Speech & Language is the property of Academic Press Inc. 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.csl.2010.05.001
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      – Code: eng
        Text: English
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      – SubjectFull: Second language acquisition
        Type: general
      – SubjectFull: English language sentences
        Type: general
      – SubjectFull: Error analysis in mathematics
        Type: general
      – SubjectFull: Human-computer interaction
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      – SubjectFull: Acquisition of data
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      – SubjectFull: English language writing
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      – SubjectFull: Automatic data collection systems
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      – TitleFull: Building an automated English sentence evaluation system for students learning English as a second language
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            NameFull: Lee, Kong Joo
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            NameFull: Choi, Yong-Seok
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            NameFull: Kim, Jee Eun
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              M: 04
              Text: Apr2011
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              Y: 2011
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