5 citations · 5 across the 2 of their papers we have counts for
5 papers
Revisiting Context Choices for Context-aware Machine Translation
Matīss Rikters, Toshiaki Nakazawa
One of the most popular methods for context-aware machine translation (MT) is to use separate encoders for the source sentence and context as multiple sources for one target senten…
Modeling Target-side Inflection in Placeholder Translation
Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka
Placeholder translation systems enable the users to specify how a specific phrase is translated in the output sentence. The system is trained to output special placeholder tokens,…
Zero-pronoun Data Augmentation for Japanese-to-English Translation
Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka
For Japanese-to-English translation, zero pronouns in Japanese pose a challenge, since the model needs to infer and produce the corresponding pronoun in the target side of the Engl…
Document-aligned Japanese-English Conversation Parallel Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
Sentence-level (SL) machine translation (MT) has reached acceptable quality for many high-resourced languages, but not document-level (DL) MT, which is difficult to 1) train with l…
Designing the Business Conversation Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based trainin…