  In this paper, we describe the development of a communication support system
that detects erroneous translations to facilitate crosslingual communications
due to the limitations of current machine chat translation methods. We trained
an error detector as the baseline of the system and constructed a new
Japanese-English bilingual chat corpus, BPersona-chat, which comprises
multiturn colloquial chats augmented with crowdsourced quality ratings. The
error detector can serve as an encouraging foundation for more advanced
erroneous translation detection systems.
