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Character-based NMT with Transformer

Character-based NMT with Transformer

12 November 2019
Rohit Gupta
Laurent Besacier
Marc Dymetman
Matthias Gallé
ArXivPDFHTML

Papers citing "Character-based NMT with Transformer"

7 / 7 papers shown
Title
Character-level NMT and language similarity
Character-level NMT and language similarity
Josef Jon
Ondrej Bojar
33
0
0
08 Aug 2023
CodeBPE: Investigating Subtokenization Options for Large Language Model
  Pretraining on Source Code
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova
Sergey Troshin
36
8
0
01 Aug 2023
The boundaries of meaning: a case study in neural machine translation
The boundaries of meaning: a case study in neural machine translation
Yuri Balashov
24
2
0
02 Oct 2022
Between words and characters: A Brief History of Open-Vocabulary
  Modeling and Tokenization in NLP
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke
Zaid Alyafeai
Elizabeth Salesky
Colin Raffel
Manan Dey
...
Arun Raja
Chenglei Si
Wilson Y. Lee
Benoît Sagot
Samson Tan
34
143
0
20 Dec 2021
Why don't people use character-level machine translation?
Why don't people use character-level machine translation?
Jindrich Libovický
Helmut Schmid
Alexander Fraser
65
28
0
15 Oct 2021
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
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
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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