Summary of An Investigation Of Warning Erroneous Chat Translations in Cross-lingual Communication, by Yunmeng Li et al.
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
by Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui
First submitted to arxiv on: 28 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract proposes a practical approach to machine translation for chats by issuing warning messages about potential mistranslations, rather than striving for perfect translations. The authors investigate how individuals perceive these warnings and whether they improve the effectiveness of chat translation systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Machine translation models are still not suitable for translating conversations because complex dialogues pose significant challenges. Instead of aiming for a flawless translation system, issuing warning messages about potential mistranslations can reduce confusion. But it’s unclear how people respond to these warnings and if they benefit others. This paper explores the effectiveness of warning messages in making chat translation systems practical. |
Keywords
» Artificial intelligence » Translation
