Japanese-english conversation parallel corpus for promoting context-aware machine translation research most machine translation (mt) research has focused on sentences as translation units (sentence-level mt) and has achieved acceptable translation quality for sentences where cross-sentential context is not required in mainly high-resourced languages

HIGHLIGHTS

• who: General Paper and collaborators from the The University of Tokyo have published the research: Japanese-English Conversation Parallel Corpus for Promoting Context-aware Machine Translation Research Most machine translation (MT) research has focused on sentences as translation units (sentence-level MT) and has achieved acceptable translation quality for sentences where cross-sentential context is not required in mainly high-resourced languages, in the Journal: (JOURNAL)
• what: The authors investigate the shortcomings of modern MT with regard to translating conversations. The authors provide balanced development and evaluation splits from only the BSD sub-corpus, as . . .
  

   

  

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