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A Deep Investigation of RNN and Self-attention for the
  Cyrillic-Traditional Mongolian Bidirectional Conversion

A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion

24 September 2022
Muhan Na
Rui Liu
Feilong
Guanglai Gao
ArXivPDFHTML

Papers citing "A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion"

2 / 2 papers shown
Title
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
6,743
0
26 Sep 2016
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme
  Conversion
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion
Kaisheng Yao
Geoffrey Zweig
37
163
0
31 May 2015
1