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MQM-Chat: Multidimensional Quality Metrics for Chat Translation
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
The complexities of chats pose significant challenges for machine translation models. Recognizing the need for a precise evaluation metric to address the issues of chat translation…
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses…
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
Shiki Sato, Reina Akama, Jun Suzuki +1
Mitigating the generation of contradictory responses poses a substantial challenge in dialogue response generation. The quality and quantity of available contradictory response dat…
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words
Hiroto Kurita, Goro Kobayashi, Sho Yokoi +1
The performance of sentence encoders can be significantly improved through the simple practice of fine-tuning using contrastive loss. A natural question arises: what characteristic…