research-article

Accuracy evaluation of sentences translated to intermediate language in back translation

Authors:

Mai Miyabe,

Takashi YoshinoAuthors Info & Claims

IUCS '09: Proceedings of the 3rd International Universal Communication Symposium

Pages 30 - 35

https://doi.org/10.1145/1667780.1667787

Published: 03 December 2009 Publication History

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Abstract

The back-translation method is used to check the accuracy of a sentence translated to a native language. We believe that there exits a positive correlation between the accuracy of sentences translated to an intermediate language and that of back-translated sentences. However, this has not yet been verified. However, some back-translated sentences have high accuracy even if the translated sentence is inaccurate. Therefore, we have to verify the correlation between the accuracy of sentences translated to an intermediate language and that of back-translated sentences. We have evaluated the accuracy of back-translated sentences and that of sentences translated to an intermediate language to establish the correlation between the two accuracies. We have obtained the following results: (1) There exists a positive correlation between the accuracy of sentences translated to an intermediate language and that of back-translated sentences. (2) The occurrence rate of an accuracy mismatch case, wherein a back-translated sentence is accurate but the translated sentence is inaccurate, is less than or equal to 0.5%. (3) Back-translation can be used to check the accuracy of a translated sentence.

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Ito TYamashita NKuribayashi THidaka MSuzuki JGao GJamieson JInui K(2023)Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English SpeakersProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606810(1-13)Online publication date: 29-Oct-2023
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Robertson SDíaz M(2022)Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated ChatProceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency10.1145/3531146.3534638(2223-2238)Online publication date: 21-Jun-2022
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Shi CIshida TLin D(2018)Translation AgentServices Computing for Language Resources10.1007/978-981-10-7793-7_11(175-192)Online publication date: 24-Feb-2018
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Index Terms

Accuracy evaluation of sentences translated to intermediate language in back translation
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Machine translation

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Published In

IUCS '09: Proceedings of the 3rd International Universal Communication Symposium

December 2009

404 pages

ISBN:9781605586410

DOI:10.1145/1667780

General Chair:
Kazumasa Enami
National Institute of Information and Communications Technology (NICT), Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 December 2009

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Japan Society for the Promotion of Science

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IUCS '09

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IUCS '09: 3rd International Universal Communication Symposium

December 3 - 4, 2009

Tokyo, Japan

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Ito TYamashita NKuribayashi THidaka MSuzuki JGao GJamieson JInui K(2023)Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English SpeakersProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606810(1-13)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606810
Robertson SDíaz M(2022)Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated ChatProceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency10.1145/3531146.3534638(2223-2238)Online publication date: 21-Jun-2022
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Shi CIshida TLin D(2018)Translation AgentServices Computing for Language Resources10.1007/978-981-10-7793-7_11(175-192)Online publication date: 24-Feb-2018
https://doi.org/10.1007/978-981-10-7793-7_11
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Shi CIshida TLin D(2014)Translation Agent: A New Metaphor for Machine TranslationNew Generation Computing10.1007/s00354-014-0204-032:2(163-186)Online publication date: 3-May-2014
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Features of Accuracy Mismatch between Back-Translated Sentences and Target-Translated Sentences

Effects of undertaking translation repair using back translation

Automatic Translation Repair Method for Improving Accuracy of Translated Sentences

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