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Unwritten Languages Demand Attention Too! Word Discovery with
  Encoder-Decoder Models
v1v2 (latest)

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

17 September 2017
Marcely Zanon Boito
Alexandre Berard
Aline Villavicencio
Laurent Besacier
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Title
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAMLAIMat
385
1,225
0
12 Jun 2017
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss
J. Chorowski
Navdeep Jaitly
Yonghui Wu
Zhiwen Chen
82
344
0
24 Mar 2017
A case study on using speech-to-translation alignments for language
  documentation
A case study on using speech-to-translation alignments for language documentation
Antonios Anastasopoulos
David Chiang
59
15
0
14 Feb 2017
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text
  Translation
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation
Alexandre Berard
Olivier Pietquin
Christophe Servan
Laurent Besacier
95
318
0
06 Dec 2016
Fully Character-Level Neural Machine Translation without Explicit
  Segmentation
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason D. Lee
Kyunghyun Cho
Thomas Hofmann
VLM
155
457
0
10 Oct 2016
Weakly supervised spoken term discovery using cross-lingual side
  information
Weakly supervised spoken term discovery using cross-lingual side information
Sameer Bansal
Herman Kamper
Sharon Goldwater
Adam Lopez
44
12
0
21 Sep 2016
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
589
27,345
0
01 Sep 2014
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