Abstract is missing.
- Overview of the 6th Workshop on Asian TranslationToshiaki Nakazawa, Nobushige Doi, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Sadao Kurohashi. 1-35 [doi]
- Compact and Robust Models for Japanese-English Character-level Machine TranslationJinan Dai, Kazunori Yamaguchi. 36-44 [doi]
- Controlling Japanese Honorifics in English-to-Japanese Neural Machine TranslationWeston Feely, Eva Hasler, Adrià de Gispert. 45-53 [doi]
- Designing the Business Conversation CorpusMatiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa. 54-61 [doi]
- English to Hindi Multi-modal Neural Machine Translation and Hindi Image CaptioningSahinur Rahman Laskar, Rohit Pratap Singh, Partha Pakray, Sivaji Bandyopadhyay. 62-67 [doi]
- Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-EnglishBenjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita. 68-75 [doi]
- NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMTRaj Dabre, Eiichiro Sumita. 76-80 [doi]
- KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019Cheoneum Park, Young-Jun Jung, Kihoon Kim, Geonyeong Kim, Jae Won Jeon, Seongmin Lee, Junseok Kim, Changki Lee. 81-89 [doi]
- English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019Rui Wang 0015, Haipeng Sun, Kehai Chen, Chenchen Ding, Masao Utiyama, Eiichiro Sumita. 90-93 [doi]
- UCSMNLP: Statistical Machine Translation for WAT 2019Aye Thida, Nway Nway Han, Sheinn Thawtar Oo, Khin Thet Htar. 94-98 [doi]
- NTT Neural Machine Translation Systems at WAT 2019Makoto Morishita, Jun Suzuki, Masaaki Nagata. 99-105 [doi]
- Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019Hideya Mino, Hitoshi Ito, Isao Goto, Ichiro Yamada, Hideki Tanaka, Takenobu Tokunaga. 106-111 [doi]
- Facebook AI's WAT19 Myanmar-English Translation Task SubmissionPeng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato. 112-122 [doi]
- Combining Translation Memory with Neural Machine TranslationAkiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita. 123-130 [doi]
- CVIT's submissions to WAT-2019Jerin Philip, Shashank Siripragada, Upendra Kumar, Vinay Namboodiri, C. V. Jawahar. 131-136 [doi]
- LTRC-MT Simple & Effective Hindi-English Neural Machine Translation Systems at WAT 2019Vikrant Goyal, Dipti Misra Sharma. 137-140 [doi]
- Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019Kenji Imamura, Eiichiro Sumita. 141-146 [doi]
- Supervised neural machine translation based on data augmentation and improved training & inference processYixuan Tong, Liang Liang, Boyan Liu, Shanshan Jiang, Bin Dong. 147-151 [doi]
- Sarah's Participation in WAT 2019Raymond Hendy Susanto, Ohnmar Htun, Liling Tan. 152-158 [doi]
- Our Neural Machine Translation Systems for WAT 2019Wei Yang, Jun Ogata. 159-164 [doi]
- Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi. 165-170 [doi]
- NLPRL at WAT2019: Transformer-based Tamil - English Indic Task Neural Machine Translation SystemAmit Kumar, Anil Kumar Singh. 171-174 [doi]
- Idiap NMT System for WAT 2019 Multimodal Translation TaskShantipriya Parida, Ondrej Bojar, Petr Motlícek. 175-180 [doi]
- WAT2019: English-Hindi Translation on Hindi Visual Genome DatasetLoitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay. 181-188 [doi]
- SYSTRAN @ WAT 2019: Russian-Japanese News Commentary taskJitao Xu, TuAnh Nguyen, Minh Quang Pham, Josep Maria Crego, Jean Senellart. 189-194 [doi]
- UCSYNLP-Lab Machine Translation Systems for WAT 2019Yi Mon ShweSin, Win Pa Pa, Khin Mar Soe. 195-199 [doi]
- Sentiment Aware Neural Machine TranslationChenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan. 200-206 [doi]
- Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine TranslationThi-Vinh Ngo, Thanh-Le Ha, Phuong Thai Nguyen, Le Minh Nguyen. 207-214 [doi]
- Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine TranslationAli Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, Mahmoud Al-Ayyoub. 215-225 [doi]