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WAT - 2021
Total Papers:- 31
Total Papers accross all years:- 138
Total Citations :- 0
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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 |
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task
Pavanpankaj Vegi |
Sivabhavani J |
Biswajit Paul |
Chitra Viswanathan |
Prasanna Kumar K R |
NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages
Raj Dabre |
Abhisek Chakrabarty |
Improved English to Hindi Multimodal Neural Machine Translation
Sahinur Rahman Laskar |
Abdullah Faiz Ur Rahman Khilji |
Darsh Kaushik |
Partha Pakray |
Sivaji Bandyopadhyay |
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages
Prajit Dhar |
Arianna Bisazza |
Gertjan van Noord |
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 |
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages
Sourav Kumar |
Salil Aggarwal |
Dipti Sharma |
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021
Hideya Mino |
Kazutaka Kinugawa |
Hitoshi Ito |
Isao Goto |
Ichiro Yamada |
Takenobu Tokunaga |
evision PDF of 'Itihasa: A large-scale corpus for Sanskrit to English translation
Rahul Aralikatte |
Miryam de Lhoneux |
Anoop Kunchukuttan |
Anders Søgaard |
Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model
Seiichiro Kondo |
Aomi Koyama |
Tomoshige Kiyuna |
Tosho Hirasawa |
Mamoru Komachi |
System Description for Transperfect
Wiktor Stribiżew |
Fred Bane |
José Conceição |
Anna Zaretskaya |
TMU NMT System with Japanese BART for the Patent task of WAT 2021
Hwichan Kim |
Mamoru Komachi |
Zero-pronoun Data Augmentation for Japanese-to-English Translation
Ryokan Ri |
Toshiaki Nakazawa |
Yoshimasa Tsuruoka |
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task
Adam Dobrowolski |
Marcin Szymański |
Marcin Chochowski |
Paweł Przybysz |
TMEKU System for the WAT2021 Multimodal Translation Task
Yuting Zhao |
Mamoru Komachi |
Tomoyuki Kajiwara |
Chenhui Chu |
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