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This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017. Our systems are based on the ...
This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017. Our systems are based on the ...
The Neural Machine Translation systems of Xiamen University for the translation tasks of WMT 17 are described, based on the Encoder-Decoder framework with ...
Missing: WAT | Show results with:WAT
In WAT 2017 5 , the convolutional sequence to sequence model by achieved a BLEU score 12.23 for English to Hindi translations using the same corpus.
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XMU Neural Machine Translation Systems for WMT 17. Zhixing Tan, Boli Wang, Jinming Hu, Yidong Chen, Xiaodong Shi. The JAIST Machine Translation Systems for WMT ...
This paper describes our two systems submitted to the simultaneous translation evaluation at the 2nd automatic simultaneous translation workshop. Translation.
Table 1: English-German translation results on newstest2017. Table of Contents. Abstract; 1 Introduction; 2 Model Description. 2.1 Encoder. 2.1.1 Interleaved ...
XMU Neural Machine Translation Systems for WAT 2017. 95-98. view. electronic ... Neural Machine Translation System for WAT2017 English-Japanese Translation Task.
Nov 27, 2017 · 9:00 - 9:20, Welcome & Overview. Overview of the 4th Workshop on Asian Translation. Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, ...
Aug 1, 2017 · Semantic machine translation is based on semantics of a language i.e. rules of grammar, here correspondence is created between semantics of pair ...