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A study on the quality of patent neural machine translation: A comparison of omission and syntactic errors in the Korean-English translations by patent-specialized Patent Translate and WIPO Translate.

  • T&I REVIEW
  • Abbr : tnirvw
  • 2022, 12(2), pp.105-130
  • DOI : 10.22962/tnirvw.2022.12.2.005
  • Publisher : Ewha Research Institute for Translation Studies
  • Research Area : Humanities > Interpretation and Translation Studies
  • Received : October 31, 2022
  • Accepted : December 20, 2022
  • Published : December 31, 2022

Jieun Lee 1 Choi, Hyo-eun 1

1이화여자대학교

Accredited

ABSTRACT

Jieun Lee and Hyoeun Choi (2022). A study on the quality of patent neural machine translation: A comparison of omission and syntactic errors in the Korean-English translations by patent-specialized Patent Translate and WIPO Translate. This paper aims to evaluate the quality of patent translations produced by the two patent-specialized machine translation engines, EPO’s Patent Translate and WIPO’s WIPO Translate. For manual evaluation, four experienced patent translators or patent translation service managers evaluated the quality of 106 English sentences from the translations of 30 Korean patent abstracts by the two MT engines. In the automatic evaluation, Patent Translate slightly outperformed WIPO Translate, whereas in the manual evaluation WIPO Translate outperformed Patent Translate. According to the error annotations provided by the evaluators, WIPO Translate produced more omission errors than Patent Translate but handled the complex syntax of the source text better, while Patent Translate produced more syntactic errors than WIPO Translate. The results indicate that in automatic evaluation, MT outputs with fewer omissions were rated higher, while in manual evaluation, comprehensible and accurate syntactic structures appeared to determine the overall quality evaluation. (Ewha Womans University, Korea)

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.