Papers
Sentiment Aware Neural Machine Translation
Chenglei Si, Kui Wu, Ai Ti Aw et al.
UCSYNLP-Lab Machine Translation Systems for WAT 2019
Yimon ShweSin, Win Pa Pa, KhinMar Soe
SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task
Jitao Xu, TuAnh Nguyen, MinhQuang Pham et al.
WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset
Loitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay
Idiap NMT System for WAT 2019 Multimodal Translation Task
Shantipriya Parida, Ondřej Bojar, Petr Motlicek
NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System
Amit Kumar, Anil Kumar Singh
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi
Our Neural Machine Translation Systems for WAT 2019
Wei Yang, Jun Ogata
Sarah’s Participation in WAT 2019
Raymond Hendy Susanto, Ohnmar Htun, Liling Tan
Supervised neural machine translation based on data augmentation and improved training & inference process
Yixuan Tong, Liang Liang, Boyan Liu et al.
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019
Kenji Imamura, Eiichiro Sumita
LTRC-MT Simple & Effective Hindi-English Neural Machine Translation Systems at WAT 2019
Vikrant Goyal, Dipti Misra Sharma
CVIT’s submissions to WAT-2019
Jerin Philip, Shashank Siripragada, Upendra Kumar et al.
Combining Translation Memory with Neural Machine Translation
Akiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita
Facebook AI’s WAT19 Myanmar-English Translation Task Submission
Peng-Jen Chen, Jiajun Shen, Matthew Le et al.
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019
Hideya Mino, Hitoshi Ito, Isao Goto et al.
NTT Neural Machine Translation Systems at WAT 2019
Makoto Morishita, Jun Suzuki, Masaaki Nagata
UCSMNLP: Statistical Machine Translation for WAT 2019
Aye Thida, Nway Nway Han, Sheinn Thawtar Oo et al.
English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019
Rui Wang, Haipeng Sun, Kehai Chen et al.
KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019
Cheoneum Park, Young-Jun Jung, Kihoon Kim et al.
NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT
Raj Dabre, Eiichiro Sumita
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English
Benjamin Marie, Hour Kaing, Aye Myat Mon et al.
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning
Sahinur Rahman Laskar, Rohit Pratap Singh, Partha Pakray et al.
Designing the Business Conversation Corpus
Matīss Rikters, Ryokan Ri, Tong Li et al.
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation
Weston Feely, Eva Hasler, Adrià de Gispert