Comparing Chinese‐English MT Performance Involving ChatGPT and MT Providers and the Efficacy of AI mediated Post‐Editing

Larry P. Cady, Benjamin K. Tsou, John S. Y. Lee

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

4 Citations (Scopus)
106 Downloads (CityUHK Scholars)

Abstract

The recent introduction of ChatGPT has caused much stir in the translation industry because of its impressive translation performance against leaders in the industry. We review some major issues based on the BLEU comparisons of Chinese-to-English (C2E) and English-toChinese (E2C) machine translation (MT) performance by ChatGPT against a range of leading MT providers in mostly technical domains. Based on sample aligned sentences from a sizable bilingual Chinese-English patent corpus and other sources, we find that while ChatGPT performs better generally, it does not consistently perform better than others in all areas or cases.
We also draw on novice translators as post-editors to explore a major component1 in MT post-editing: Optimization of terminology. Many new technical words, including MWEs (Multi-Word Expressions), are problematic because they involve terminological developments which must balance between proper encapsulation of technical innovation and conforming to past traditions2. Drawing on the above-mentioned reference corpus3 we have been developing an AI mediated MT post-editing (MTPE) system through the optimization of precedent rendition distribution and semantic association to enhance the work of translators and MTPE practitioners. © 2023 The authors.
Original languageEnglish
Title of host publicationProceedings of Machine Translation Summit XIX
PublisherAsia-Pacific Association for Machine Translation
Pages205-216
Volume2: Users Track
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
Volume2 (2023)

Conference

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

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

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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