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Corpus-based Machine Translation: Its Current Development and Perspectives.

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Title: Corpus-based Machine Translation: Its Current Development and Perspectives.
Authors: Zhou Dajun1 e_zdj@hotmail.com, Wang Yun1
Source: International Forum of Teaching & Studies. 2015, Vol. 11 Issue 1/2, p90-95. 6p.
Subject Terms: *Methodology, Machine translating, Linguistics, Natural language processing, Semantics, Human-machine systems
Abstract: Corpus technology was introduced to rule-based machine translation (MT) in the late 1980s. Corpus-based MT mainly includes statistic-based MT and example-based MT - the former lays emphasis on statistic model from mathematics, the latter inference through example translation from machine learning. The semanticbased method will become the trend in statistical MT development, while the perspectives for corpus-based MT system is to combine the latest research fruits of theories and technologies of various subjects concerned and to develop multi-mode corpus. [ABSTRACT FROM AUTHOR]
Copyright of International Forum of Teaching & Studies is the property of American Scholars Press 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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PubType: Academic Journal
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  Data: Corpus-based Machine Translation: Its Current Development and Perspectives.
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  Data: <searchLink fieldCode="AR" term="%22Zhou+Dajun%22">Zhou Dajun</searchLink><relatesTo>1</relatesTo><i> e_zdj@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang+Yun%22">Wang Yun</searchLink><relatesTo>1</relatesTo>
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  Data: *<searchLink fieldCode="DE" term="%22Methodology%22">Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistics%22">Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Human-machine+systems%22">Human-machine systems</searchLink>
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  Data: Corpus technology was introduced to rule-based machine translation (MT) in the late 1980s. Corpus-based MT mainly includes statistic-based MT and example-based MT - the former lays emphasis on statistic model from mathematics, the latter inference through example translation from machine learning. The semanticbased method will become the trend in statistical MT development, while the perspectives for corpus-based MT system is to combine the latest research fruits of theories and technologies of various subjects concerned and to develop multi-mode corpus. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Forum of Teaching & Studies is the property of American Scholars Press 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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        Text: English
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      – SubjectFull: Methodology
        Type: general
      – SubjectFull: Machine translating
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      – SubjectFull: Linguistics
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      – SubjectFull: Semantics
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      – SubjectFull: Human-machine systems
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              Text: 2015
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