WAT 2021
Workshop on Asian Translation
Location
- Bangkok, Thailand
Links
Important Dates
Shared task submission | 03 May |
Research paper submission | 03 May |
System description paper for shared tasks submission | 24 May |
Notification of acceptance for research papers | 31 May |
Review feedback of system description papers | 31 May |
Camera-ready deadline | 07 June |
Workshop | 06 August |
Shared Tasks
- Document-level
- Multimodal
- Indic
- ALT+
- Patent
- News commentary
- Restricted
Schedule
7:00 | Welcome Toshiaki Nakazawa |
7:05 | Invited Talk Chair: Raj Dabre |
7:05 | Massively Multilingual Translation and Evaluation Francisco Guzmán, Angela Fan |
7:45 | 🕑 |
7:50 | Shared Task I Restricted / ALT+UCSY / NICT-SAP Chair: Akiko Eriguchi, Chenchen Ding, Raj Dabre |
7:50 | Task descriptions and results Restricted Akiko Eriguchi ALT+UCSY Chenchen Ding NICT-SAP Raj Dabre |
8:10 | Task descriptions and results Restricted Akiko Eriguchi ALT+UCSY Chenchen Ding NICT-SAP Raj Dabre |
8:10 | NHK’s Soft Lexically Constrained Neural Machine Translation at WAT 2021 Hideya Mino, Kazutaka Kinugawa, Hitoshi Ito, Isao Goto, Ichiro Yamada, Takenobu Tokunaga |
8:20 | Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021 Katsuki Chousa, Makoto Morishita |
8:30 | NICT's Neural Machine Translation Systems for the WAT21 Restricted Translation Task Zuchao Li, Masao Utiyama, Eiichiro Sumita, Hai Zhao |
8:40 | Machine Translation with the Pre-specified Target-side Words Using a Semi-autoregressive Model Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi |
8:50 | NECTEC’s Participation in WAT-2021 Zar Zar Hlaing, Ye Kyaw Thu, Thazin Myint Oo, Mya Ei San, Sasiporn Usanavasin, Ponrudee Netisopakul, Thepchai Supnithi |
9:00 | Hybrid Statistical Machine Translation for English-Myanmar: UTYCC-Team1 Submission to WAT-2021 Ye Kyaw Thu, Thazin Myint Oo, Hlaing Myat Nwe, Khaing Zar Mon, Nang Aeindray Kyaw, Naing Linn Phyo, Nann Hwan Khun, Hnin Aye Thant |
9:10 | NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs Kenji Imamura, Eiichiro Sumita |
9:20 | Rakuten's Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation Raymond Hendy Susanto, Dongzhe Wang, Sunil Yadav, Mausam Jain, Ohnmar Htun |
9:30 | 🕑 |
9:35 | Invited Talk II Chair: Isao Goto |
9:35 | Understanding and Improving Context Usage in Context-aware Translation Graham Neubig |
10:15 | 🕑 |
10:20 | Research Paper/Findings I Hidaya Mino |
10:20 | BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Hyeonseok Moon, Sugyeong Eo, Heuiseok Lim |
10:40 | Zero-pronoun Data Augmentation for Japanese-to-English Translation Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka |
11:00 | Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama |
11:20 | Joint Optimization of Tokenization and Downstream Model Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
11:40 | 🍴 |
13:00 | Shared Task II - JPC, Hindi and Malayalam Multimodal, Japanese Multimodal Chair: Shohei Higashiyama, Shantipriya Parida, Hideki Nakayama, Chenhui Chu |
13:00 | Task Descriptions and Results: JPC Shohei Higashiyama Hindi and Malayalam Multimodal Shantipriya Parida Japanese Multimodal Hideki Nakayama, Chenhui Chu |
13:20 | TMU NMT System with Japanese BART for the Patent task of WAT 2021 Hwichan Kim, Mamoru Komachi |
13:30 | System Description for Transperfect Wiktor Stribiżew, Fred Bane, José Conceição, Anna Zaretskaya |
13:40 | Bering Lab’s Submissions on WAT 2021 Shared Task Heesoo Park, Dongjun Lee |
13:50 | NLPHut’s Participation at WAT2021 Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek, Ondřej Bojar |
14:00 | Improved English to Hindi Multimodal Neural Machine Translation Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik, Partha Pakray, Sivaji Bandyopadhyay |
14:10 | IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal |
14:20 | ViTA: Visual-Linguistic Translation by Aligning Object Tags Kshitij Gupta, Devansh Gautam, Radhika Mamidi |
14:30 | TMEKU System for the WAT2021 Multimodal Translation Task Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu |
14:40 | 🕑 |
14:45 | Research Paper/Findings II Chair: Shantipriya Parida |
14:45 | Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages Prajit Dhar, Arianna Bisazza, Gertjan van Noord |
15:05 | Itihasa: A large-scale corpus for Sanskrit to English translation Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard |
15:25 | IndoCollex: A Testbed for Morphological Transformation of Indonesian Word Colloquialism Haryo Akbarianto Wibowo, Made Nindyatama Nityasya, Afra Feyza Akyüek, Suci Fitriany, Alham Fikri Aji, Radityo Eko Prasojo, Derry Tanti Wijaya |
15:45 | 🕑 |
15:50 | Shared Task III - MultiIndicMT Chair: Raj Dabre |
15:50 | Task Descriptions and Results: MultiIndicMT Shantipriya Parida |
16:00 | NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages Raj Dabre, Abhisek Chakrabarty |
16:10 | How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task Rahul Aralikatte, Héctor Ricardo Murrieta Bello, Daniel Hershcovich, Marcel Bollmann, Anders Søgaard |
16:20 | IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages Sourav Kumar, Salil Aggarwal, Dipti Sharma |
16:30 | Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021 Jyotsana Khatri, Nikhil Saini, Pushpak Bhattacharyya |
16:40 | Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task Adam Dobrowolski, Marcin Szymański, Marcin Chochowski, Paweł Przybysz |
16:50 | Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT Shivam Mhaskar, Aditya Jain, Aakash Banerjee, Pushpak Bhattacharyya |
17:00 | IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya |
17:10 | ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task Pavanpankaj Vegi, Sivabhavani J, Biswajit Paul, Chitra Viswanathan, Prasanna Kumar K R |
17:20 | Closing Toshiaki Nakazawa |