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ORCIDWAT@IJCNLP 2017: Taipei, Taiwan
- Toshiaki Nakazawa, Isao Goto:
Proceedings of the 4th Workshop on Asian Translation, WAT@IJCNLP 2017, Taipei, Taiwan, November 27- December 1, 2017. Asian Federation of Natural Language Processing 2017, ISBN 978-1-948087-06-3 - Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Hideya Mino, Isao Goto, Hideto Kazawa, Yusuke Oda, Graham Neubig, Sadao Kurohashi:
Overview of the 4th Workshop on Asian Translation. 1-54 - Shunsuke Takeno, Masaaki Nagata, Kazuhide Yamamoto:
Controlling Target Features in Neural Machine Translation via Prefix Constraints. 55-63 - Yuuki Sekizawa, Tomoyuki Kajiwara, Mamoru Komachi:
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language. 64-69 - Aizhan Imankulova, Takayuki Sato, Mamoru Komachi:
Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus. 70-78 - Atsushi Fujita, Eiichiro Sumita:
Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing. 79-88 - Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT Neural Machine Translation Systems at WAT 2017. 89-94 - Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi:
XMU Neural Machine Translation Systems for WAT 2017. 95-98 - Masato Neishi, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda:
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size. 99-109 - Zi Long, Ryuichiro Kimura, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto:
Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017. 110-118 - Terumasa Ehara:
SMT reranked NMT. 119-126 - Kenji Imamura, Eiichiro Sumita:
Ensemble and Reranking: Using Multiple Models in the NICT-2 Neural Machine Translation System at WAT2017. 127-134 - Yusuke Oda, Katsuhito Sudoh, Satoshi Nakamura, Masao Utiyama, Eiichiro Sumita:
A Simple and Strong Baseline: NAIST-NICT Neural Machine Translation System for WAT2017 English-Japanese Translation Task. 135-139 - Satoshi Kinoshita, Tadaaki Oshio, Tomoharu Mitsuhashi:
Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT2017. 140-145 - Fabien Cromierès, Raj Dabre, Toshiaki Nakazawa, Sadao Kurohashi:
Kyoto University Participation to WAT 2017. 146-153 - Tom Kocmi, Dusan Varis, Ondrej Bojar:
CUNI NMT System for WAT 2017 Translation Tasks. 154-159 - Yukio Matsumura, Mamoru Komachi:
Tokyo Metropolitan University Neural Machine Translation System for WAT 2017. 160-166 - Sandhya Singh, Ritesh Panjwani, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation. 167-170
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