Post-editing of Technical Terms based on Bilingual Example Sentences

Elsie K. Y. Chan, John S. Y. Lee, Chester Cheng, Benjamin K. Tsou

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)
97 Downloads (CityUHK Scholars)

Abstract

As technical fields become ever more specialized, and with continuous emergence of novel technical terms, it may not be always possible to avail of bilingual experts in the field to perform translation. This paper investigates the performance of bilingual non-experts in Computer-Assisted Translation. The translators were asked to identify and correct errors in MT output of technical terms in patent materials, aided only by example bilingual sentences. Targeting English-to-Chinese translation, we automatically extract the example sentences from a bilingual corpus of English and Chinese patents. We identify the most frequent translation candidates of a term, and then select the most relevant example sentences for each candidate according to semantic similarity. Even when given only two example sentences for each translation candidate, the non-expert translators were able to post-edit effectively, correcting 67.2% of the MT errors while mistakenly revising correct MT output in only 17% of the cases. © 2023 The authors.
Original languageEnglish
Title of host publicationProceedings of Machine Translation Summit XIX
Subtitle of host publicationVol. 1: Research Track
PublisherAsia-Pacific Association for Machine Translation
Pages385-392
Volume1
ISBN (Print)9780000000002
Publication statusPublished - Sept 2023
EventMachine Translation Summit XIX (MT Summit 2023) - Studio City, Macau, China
Duration: 4 Sept 20238 Sept 2023
https://mtsummit2023.scimeeting.cn/en/web/index/15680_
https://aclanthology.org/2023.mtsummit-research

Publication series

NameMT Summit - Proceedings of Machine Translation Summit

Conference

ConferenceMachine Translation Summit XIX (MT Summit 2023)
Abbreviated titleMTS 2023
Country/TerritoryChina
CityMacau
Period4/09/238/09/23
Internet address

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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