View in EDS PDF Full Text

Reflection of Explicitation in Scientific Translation: Neural Machine Translation vs. Human Post-Editing.

Saved in:
Bibliographic Details
Title: Reflection of Explicitation in Scientific Translation: Neural Machine Translation vs. Human Post-Editing.
Authors: Khoury, Ogareet Y.1
Source: Journal of Language Teaching & Research. Sep2024, Vol. 15 Issue 5, p1510-1517. 8p.
Subject Terms: *Translating & interpreting, *Translators, *Readability (Literary style), Machine translating, Acronyms, Empirical research
Abstract: The present paper reports on the findings of an empirical comparative study on the extent to which explicitation is employed in the translation of a scientific text as conducted by Google Neural Machine Translation (GNMT) vs its post-edited (PE) version. A recent report released in English by the World Meteorological Organization in September 2023 was selected as the source text for the present study. The purpose of the study is to reveal how domain-specific acronyms and technical terms are lexically expanded (explicitated) in a GNMT output compared to its post-edited (PE) version as performed by a team of professional translators at a translation service provider in Amman-Jordan. Explicitation in translation can be obligatory or optional. The type of explicitation investigated in the present study is optional, pragmatic explicitation. The results show that GNMT has its limitations in dealing with scientific terms and acronyms in translating scientific texts from English into Arabic. In contrast, human post-editing explicitated domainspecific terms and acronyms producing a text with a higher level of readability and naturalness for domain expert readers and non-expert readers. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Language Teaching & Research is the property of Academy Publication Co., LTD 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
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 179563855
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Reflection of Explicitation in Scientific Translation: Neural Machine Translation vs. Human Post-Editing.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Khoury%2C+Ogareet+Y%2E%22">Khoury, Ogareet Y.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Language+Teaching+%26+Research%22">Journal of Language Teaching & Research</searchLink>. Sep2024, Vol. 15 Issue 5, p1510-1517. 8p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Translating+%26+interpreting%22">Translating & interpreting</searchLink><br />*<searchLink fieldCode="DE" term="%22Translators%22">Translators</searchLink><br />*<searchLink fieldCode="DE" term="%22Readability+%28Literary+style%29%22">Readability (Literary style)</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Acronyms%22">Acronyms</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The present paper reports on the findings of an empirical comparative study on the extent to which explicitation is employed in the translation of a scientific text as conducted by Google Neural Machine Translation (GNMT) vs its post-edited (PE) version. A recent report released in English by the World Meteorological Organization in September 2023 was selected as the source text for the present study. The purpose of the study is to reveal how domain-specific acronyms and technical terms are lexically expanded (explicitated) in a GNMT output compared to its post-edited (PE) version as performed by a team of professional translators at a translation service provider in Amman-Jordan. Explicitation in translation can be obligatory or optional. The type of explicitation investigated in the present study is optional, pragmatic explicitation. The results show that GNMT has its limitations in dealing with scientific terms and acronyms in translating scientific texts from English into Arabic. In contrast, human post-editing explicitated domainspecific terms and acronyms producing a text with a higher level of readability and naturalness for domain expert readers and non-expert readers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Language Teaching & Research is the property of Academy Publication Co., LTD 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=179563855
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.17507/jltr.1505.12
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1510
    Subjects:
      – SubjectFull: Translating & interpreting
        Type: general
      – SubjectFull: Translators
        Type: general
      – SubjectFull: Readability (Literary style)
        Type: general
      – SubjectFull: Machine translating
        Type: general
      – SubjectFull: Acronyms
        Type: general
      – SubjectFull: Empirical research
        Type: general
    Titles:
      – TitleFull: Reflection of Explicitation in Scientific Translation: Neural Machine Translation vs. Human Post-Editing.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khoury, Ogareet Y.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 17984769
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of Language Teaching & Research
              Type: main
ResultId 1