default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID8th WAT@ACL/IJCNP 2021: Online
- Toshiaki Nakazawa, Hideki Nakayama, Isao Goto, Hideya Mino, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Shohei Higashiyama, Hiroshi Manabe, Win Pa Pa, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya:
Proceedings of the 8th Workshop on Asian Translation, WAT@ACL/IJCNLP 2021, Online, August 5-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-63-3 - Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi:
Overview of the 8th Workshop on Asian Translation. 1-45 - Hideya Mino, Kazutaka Kinugawa, Hitoshi Ito, Isao Goto, Ichiro Yamada, Takenobu Tokunaga:
NHK's Lexically-Constrained Neural Machine Translation at WAT 2021. 46-52 - Katsuki Chousa, Makoto Morishita:
Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021. 53-61 - Zuchao Li, Masao Utiyama, Eiichiro Sumita, Hai Zhao:
NICT's Neural Machine Translation Systems for the WAT21 Restricted Translation Task. 62-67 - Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi:
Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model. 68-73 - Zar Zar Hlaing, Ye Kyaw Thu, Thazin Myint Oo, Mya Ei San, Sasiporn Usanavasin, Ponrudee Netisopakul, Thepchai Supnithi:
NECTEC's Participation in WAT-2021. 74-82 - Ye Kyaw Thu, Thazin Myint Oo, Hlaing Myat Nwe, Khaing Zar Mon, Nang Aeindray Kyaw, Naing Linn Phyo, Nann Hwan Khun, Hnin Aye Thant:
Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021. 83-89 - Kenji Imamura, Eiichiro Sumita:
NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs. 90-95 - Raymond Hendy Susanto, Dongzhe Wang, Sunil Yadav, Mausam Jain
, Ohnmar Htun:
Rakuten's Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation. 96-105 - Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Hyeonseok Moon, Sugyeong Eo, Heuiseok Lim:
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text. 106-116 - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Zero-pronoun Data Augmentation for Japanese-to-English Translation. 117-123 - Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama:
Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes. 124-132 - Hwichan Kim, Mamoru Komachi:
TMU NMT System with Japanese BART for the Patent task of WAT 2021. 133-137 - Wiktor Stribizew, Fred Bane, José Conceição, Anna Zaretskaya:
System Description for Transperfect. 138-140 - Heesoo Park, Dongjun Lee:
Bering Lab's Submissions on WAT 2021 Shared Task. 141-145 - Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlícek, Ondrej Bojar:
NLPHut's Participation at WAT2021. 146-154 - Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik, Partha Pakray, Sivaji Bandyopadhyay:
Improved English to Hindi Multimodal Neural Machine Translation. 155-160 - Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal:
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task. 161-165 - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
ViTA: Visual-Linguistic Translation by Aligning Object Tags. 166-173 - Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu:
TMEKU System for the WAT2021 Multimodal Translation Task. 174-180 - Prajit Dhar, Arianna Bisazza, Gertjan van Noord:
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages. 181-190 - Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. 191-197 - Raj Dabre, Abhisek Chakrabarty:
NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages. 198-204 - Rahul Aralikatte, Héctor Ricardo Murrieta Bello, Daniel Hershcovich, Marcel Bollmann, Anders Søgaard:
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. 205-211 - Sourav Kumar, Salil Aggarwal, Dipti Sharma:
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages. 212-216 - Jyotsana Khatri, Nikhil Saini, Pushpak Bhattacharyya:
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021. 217-223 - Adam Dobrowolski, Marcin Szymanski, Marcin Chochowski, Pawel Przybysz:
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task. 224-232 - Shivam Mhaskar, Aditya Jain, Aakash Banerjee, Pushpak Bhattacharyya:
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT. 233-237 - Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya:
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary. 238-243 - Pavanpankaj Vegi, Sivabhavani J., Biswajit Paul, Chitra Viswanathan, K. R. Prasanna Kumar:
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task. 244-249
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-08-17 21:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
