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Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
Aizhan Imankulova
|
Masahiro Kaneko
|
Mamoru Komachi
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
WS |
Citations
URL
No Citations Yet
http://lotus.kuee.kyoto-u.ac.jp/WAT/WAT2019/index.html
https://globalvoices.org/
https://github.com/aizhanti/JaRuNC
http://lotus.kuee.kyoto-u.ac.jp/WAT/jiji-corpus/
http://lotus.kuee.kyoto-u.ac.jp/WAT/News-
https://github.com/moses-smt/mosesdecoder
http://taku910.github.io/mecab
https://github.com/tensorflow/tensor2tensor
http://lotus.kuee.kyoto-u.ac.jp/WAT/evaluation/
http://lotus.kuee.kyoto-u.ac.jp/WAT/evaluation/
Field Of Study
Linguistic Trends
Syntax
Morphology
Phonology
Task
Machine Translation
Word Segmentation
Language
Multilingual
English
Japanese
Dataset
News