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A systematic comparison of grapheme-based vs. phoneme-based label units
  for encoder-decoder-attention models

A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models

19 May 2020
Mohammad Zeineldeen
Albert Zeyer
Wei Zhou
T. Ng
Ralf Schluter
Hermann Ney
ArXivPDFHTML

Papers citing "A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models"

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
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1