Neural Machine Translation of Logographic Languages Using Sub-character Level Information

7 September 2018

Papers citing "Neural Machine Translation of Logographic Languages Using Sub-character Level Information"

7 / 7 papers shown

Title
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling Zhijun Wang Xuebo Liu Min Zhang 27 11 0 23 Nov 2022
vTTS: visual-text to speech Yoshifumi Nakano Takaaki Saeki Shinnosuke Takamichi Katsuhito Sudoh Hiroshi Saruwatari 18 4 0 28 Mar 2022
Why don't people use character-level machine translation? Jindrich Libovický Helmut Schmid Alexander Fraser 65 28 0 15 Oct 2021
Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information Longtu Zhang Mamoru Komachi 12 10 0 01 Mar 2019
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level Lifeng Han Shaohui Kuang 20 6 0 03 May 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015