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Unwritten Languages Demand Attention Too! Word Discovery with
  Encoder-Decoder Models

Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models

17 September 2017
Marcely Zanon Boito
Alexandre Berard
Aline Villavicencio
Laurent Besacier
ArXivPDFHTML

Papers citing "Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models"

6 / 6 papers shown
Title
AlloST: Low-resource Speech Translation without Source Transcription
AlloST: Low-resource Speech Translation without Source Transcription
Yao-Fei Cheng
Hung-Shin Lee
Hsin-Min Wang
27
8
0
01 May 2021
Multilingual End-to-End Speech Translation
Multilingual End-to-End Speech Translation
Hirofumi Inaguma
Kevin Duh
Tatsuya Kawahara
Shinji Watanabe
LRM
33
86
0
01 Oct 2019
Unsupervised Word Segmentation from Speech with Attention
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard
Marcely Zanon Boito
Lucas Ondel
Alexandre Berard
François Yvon
Aline Villavicencio
Laurent Besacier
24
27
0
18 Jun 2018
Tied Multitask Learning for Neural Speech Translation
Tied Multitask Learning for Neural Speech Translation
Antonios Anastasopoulos
David Chiang
102
172
0
19 Feb 2018
A Very Low Resource Language Speech Corpus for Computational Language
  Documentation Experiments
A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
Pierre Godard
G. Adda
M. Adda-Decker
Juan Benjumea
Laurent Besacier
...
Markus Müller
Annie Rialland
Sebastian Stüker
François Yvon
Marcely Zanon Boito
32
59
0
10 Oct 2017
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
227
1,211
0
12 Jun 2017
1