mlsanityData to 7 Oct 2026

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

arXiv 2408.15543 ↗First posted 28 Aug 2024cs.CL cs.AI cs.CYcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 26 references that are in the map. First posted on arXiv 28 Aug 2024.

Builds on

11 of 26 references.

References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  3. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
  4. 2017Neural Machine Translation with Extended Contextcited by 95
  5. 2018Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluationcited by 88
  6. 2018Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translationcited by 58
  7. 2017Document Context Neural Machine Translation with Memory Networkscited by 41
  8. 2021Modeling Bilingual Conversational Characteristics for Neural Chat Translationcited by 18
  9. 2018Contextual Neural Model for Translating Bilingual Multi-Speaker Conversationscited by 15
  10. 2021Towards Making the Most of Dialogue Characteristics for Neural Chat Translationcited by 12
  11. 2023Chat Translation Error Detection for Assisting Cross-lingual Communicationscited by 3

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