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Modeling Predictors of Accuracy in Web-Translated Newspaper Stories.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Modeling Predictors of Accuracy in Web-Translated Newspaper Stories.
Συγγραφείς: Ifeduba, Emmanuel
Πηγή: International Journal of Translation, Interpretation & Applied Linguistics (IJTIAL); Jan2022, Vol. 4 Issue 1, p1-13, 13p
Θεματικοί όροι: Translating machines, Newspaper publishing, African languages, Orthography & spelling, Journalistic errors
Reviews & Products: Google Translate (Web resource)
Περίληψη: Recently, newspapers published in Africa began to adopt web translation applications to make their businesses more competitive. However, studies indicate that web translations of even major languages are often inaccurate and generally gloss over how this affects African languages. And the predictors of translation inaccuracy seem to be inadequately interrogated. This study, therefore, investigates the extent to which Google Translate accurately translates English to eight African languages and the relationship between translation accuracy and perceived journalistic errors, orthography, and technological limitations of the translating machine. Through document analysis of six newspaper stories, the study ascertained that the meaning of over 45% of the text was either lost or unclear. Statistical analysis shows that perceived journalistic errors, inadequate orthography, and technological limitations significantly predict translation inaccuracy, suggesting that improvement in these variables would improve the accuracy of web-translated news. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Translation, Interpretation & Applied Linguistics (IJTIAL) is the property of IGI Global, 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.)
Βάση Δεδομένων: Complementary Index
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DbLabel: Complementary Index
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PubType: Academic Journal
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IllustrationInfo
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  Data: Modeling Predictors of Accuracy in Web-Translated Newspaper Stories.
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  Data: <searchLink fieldCode="AR" term="%22Ifeduba%2C+Emmanuel%22">Ifeduba, Emmanuel</searchLink>
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  Data: International Journal of Translation, Interpretation & Applied Linguistics (IJTIAL); Jan2022, Vol. 4 Issue 1, p1-13, 13p
– Name: Subject
  Label: Subject Terms
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  Data: <searchLink fieldCode="DE" term="%22Translating+machines%22">Translating machines</searchLink><br /><searchLink fieldCode="DE" term="%22Newspaper+publishing%22">Newspaper publishing</searchLink><br /><searchLink fieldCode="DE" term="%22African+languages%22">African languages</searchLink><br /><searchLink fieldCode="DE" term="%22Orthography+%26+spelling%22">Orthography & spelling</searchLink><br /><searchLink fieldCode="DE" term="%22Journalistic+errors%22">Journalistic errors</searchLink>
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  Label: Reviews & Products
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  Data: <searchLink fieldCode="PS" term="%22Google+Translate+%28Web+resource%29%22">Google Translate (Web resource)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Recently, newspapers published in Africa began to adopt web translation applications to make their businesses more competitive. However, studies indicate that web translations of even major languages are often inaccurate and generally gloss over how this affects African languages. And the predictors of translation inaccuracy seem to be inadequately interrogated. This study, therefore, investigates the extent to which Google Translate accurately translates English to eight African languages and the relationship between translation accuracy and perceived journalistic errors, orthography, and technological limitations of the translating machine. Through document analysis of six newspaper stories, the study ascertained that the meaning of over 45% of the text was either lost or unclear. Statistical analysis shows that perceived journalistic errors, inadequate orthography, and technological limitations significantly predict translation inaccuracy, suggesting that improvement in these variables would improve the accuracy of web-translated news. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Translation, Interpretation & Applied Linguistics (IJTIAL) is the property of IGI Global, 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.4018/IJTIAL.304074
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Google Translate (Web resource)
        Type: general
      – SubjectFull: Translating machines
        Type: general
      – SubjectFull: Newspaper publishing
        Type: general
      – SubjectFull: African languages
        Type: general
      – SubjectFull: Orthography & spelling
        Type: general
      – SubjectFull: Journalistic errors
        Type: general
    Titles:
      – TitleFull: Modeling Predictors of Accuracy in Web-Translated Newspaper Stories.
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              M: 01
              Text: Jan2022
              Type: published
              Y: 2022
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