An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication

Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui
8/28/2024
cs.CLcs.AIcs.CY

No confident code implementation found for this paper.

Abstract

Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses significant challenges and can hinder crosslingual communication. Instead of pursuing a flawless translation system, a more practical approach would be to issue warning messages about potential mistranslations to reduce confusion. However, it is still unclear how individuals perceive these warning messages and whether they benefit the crowd. This paper tackles to investigate this question and demonstrates the warning messages' contribution to making chat translation systems effective.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Chat Translation Error Detection for Assisting Cross-lingual Communications

88% match1 repo62023

Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation

81% match2023

Findings of the WMT 2024 Shared Task on Chat Translation

81% match2024

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback

80% match1 repo1772023

Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts

80% match2024

Exploring the traditional NMT model and Large Language Model for chat translation

80% match2024

Cite this paper

@article{li2024investigation,
  title  = {An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication},
  author = {Yunmeng Li and Jun Suzuki and Makoto Morishita and Kaori Abe and Kentaro Inui},
  year   = {2024},
  eprint = {2408.15543},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.15543v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2408.15543.svg)](https://codeofpaper.com/paper/2408.15543)

Discussion