Academic Journal

On Postediting of Machine Translation and Workflow for Undergraduate Translation Program in China.

Bibliographic Details
Title: On Postediting of Machine Translation and Workflow for Undergraduate Translation Program in China.
Authors: Yang, Zhengang, Mustafa, Hema Rosheny
Source: Human Behavior & Emerging Technologies; 3/30/2022, p1-11, 11p
Subject Terms: Machine translating, Undergraduate programs, Student attitudes, Workflow, Technology Acceptance Model, Workflow management
Geographic Terms: China
Abstract: With the improvement in machine translation output quality, postediting of machine translation has made far-reaching impact upon the language service industry. As a result, it has been introduced to translation training to avoid split between academic discipline and profession. However, postediting of machine translation and its application to undergraduate translation program in China are less studied, and few researches have touched on the students' own perceptions. Based on a literature review on postediting of machine translation, this study is aimed at identifying the vital role of it and then proposing a practical postediting workflow for undergraduate translation education in China. The study adopted a mixed methods approach. Data were collected via online questionnaire responded by students of undergraduate translation program at a university in northwest China and then analyzed from the perspective of technology acceptance model. The results and findings showed that as a promising workflow, postediting of machine translation gained positive responses in general from students who have learnt the basics of translation technology. The themes of negative responses include confusing postediting standard, inconsistent quality, ways to choose machine translation providers, and technical issues. The results and findings indicated that a tailored postediting workflow for undergraduate translation program is feasible. By focusing on undergraduate pedagogical settings in China, this study confirmed the findings of previous studies on the more positive attitude on postediting of machine translation, suggesting that postediting be considered as an important subcompetence in translation education. [ABSTRACT FROM AUTHOR]
Copyright of Human Behavior & Emerging Technologies is the property of Wiley-Blackwell 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: Complementary Index
FullText Links:
  – Type: other
Text:
  Availability: 0
Header DbId: edb
DbLabel: Complementary Index
An: 156030444
RelevancyScore: 916
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 915.917663574219
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: On Postediting of Machine Translation and Workflow for Undergraduate Translation Program in China.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Zhengang%22">Yang, Zhengang</searchLink><br /><searchLink fieldCode="AR" term="%22Mustafa%2C+Hema+Rosheny%22">Mustafa, Hema Rosheny</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Human Behavior & Emerging Technologies; 3/30/2022, p1-11, 11p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+programs%22">Undergraduate programs</searchLink><br /><searchLink fieldCode="DE" term="%22Student+attitudes%22">Student attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow%22">Workflow</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow+management%22">Workflow management</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the improvement in machine translation output quality, postediting of machine translation has made far-reaching impact upon the language service industry. As a result, it has been introduced to translation training to avoid split between academic discipline and profession. However, postediting of machine translation and its application to undergraduate translation program in China are less studied, and few researches have touched on the students' own perceptions. Based on a literature review on postediting of machine translation, this study is aimed at identifying the vital role of it and then proposing a practical postediting workflow for undergraduate translation education in China. The study adopted a mixed methods approach. Data were collected via online questionnaire responded by students of undergraduate translation program at a university in northwest China and then analyzed from the perspective of technology acceptance model. The results and findings showed that as a promising workflow, postediting of machine translation gained positive responses in general from students who have learnt the basics of translation technology. The themes of negative responses include confusing postediting standard, inconsistent quality, ways to choose machine translation providers, and technical issues. The results and findings indicated that a tailored postediting workflow for undergraduate translation program is feasible. By focusing on undergraduate pedagogical settings in China, this study confirmed the findings of previous studies on the more positive attitude on postediting of machine translation, suggesting that postediting be considered as an important subcompetence in translation education. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Human Behavior & Emerging Technologies is the property of Wiley-Blackwell 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=edb&AN=156030444
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/2022/5793054
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: China
        Type: general
      – SubjectFull: Machine translating
        Type: general
      – SubjectFull: Undergraduate programs
        Type: general
      – SubjectFull: Student attitudes
        Type: general
      – SubjectFull: Workflow
        Type: general
      – SubjectFull: Technology Acceptance Model
        Type: general
      – SubjectFull: Workflow management
        Type: general
    Titles:
      – TitleFull: On Postediting of Machine Translation and Workflow for Undergraduate Translation Program in China.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yang, Zhengang
      – PersonEntity:
          Name:
            NameFull: Mustafa, Hema Rosheny
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 30
              M: 03
              Text: 3/30/2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 25781863
          Titles:
            – TitleFull: Human Behavior & Emerging Technologies
              Type: main
ResultId 1