ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.12398
  4. Cited By
End-to-End Lexically Constrained Machine Translation for Morphologically
  Rich Languages
v1v2 (latest)

End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages

23 June 2021
Josef Jon
João Paulo Aires
Duvsan Varivs
Ondrej Bojar
ArXiv (abs)PDFHTML

Papers citing "End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages"

12 / 12 papers shown
Title
Facilitating Terminology Translation with Target Lemma Annotations
Facilitating Terminology Translation with Target Lemma Annotations
Toms Bergmanis
Marcis Pinnis
39
43
0
25 Jan 2021
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
Tom Kocmi
Martin Popel
Ondrej Bojar
35
38
0
06 Jul 2020
Training Neural Machine Translation To Apply Terminology Constraints
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu
Prashant Mathur
Marcello Federico
Yaser Al-Onaizan
AI4CE
59
159
0
03 Jun 2019
Code-Switching for Enhancing NMT with Pre-Specified Translation
Code-Switching for Enhancing NMT with Pre-Specified Translation
Kai Song
Yue Zhang
Heng Yu
Weihua Luo
Kun Wang
Min Zhang
54
117
0
19 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
111
3,156
0
01 Apr 2019
SentencePiece: A simple and language independent subword tokenizer and
  detokenizer for Neural Text Processing
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Taku Kudo
John Richardson
201
3,526
0
19 Aug 2018
Neural Machine Translation Decoding with Terminology Constraints
Neural Machine Translation Decoding with Terminology Constraints
Eva Hasler
Adria de Gispert
Gonzalo Iglesias
Bill Byrne
AI4CE
67
109
0
09 May 2018
A Call for Clarity in Reporting BLEU Scores
A Call for Clarity in Reporting BLEU Scores
Matt Post
175
2,996
0
23 Apr 2018
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for
  Neural Machine Translation
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
Matt Post
David Vilar
68
316
0
18 Apr 2018
Marian: Fast Neural Machine Translation in C++
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt
Roman Grundkiewicz
Tomasz Dwojak
Hieu T. Hoang
Kenneth Heafield
...
Ulrich Germann
Alham Fikri Aji
Nikolay Bogoychev
André F. T. Martins
Alexandra Birch
92
718
0
01 Apr 2018
Lexically Constrained Decoding for Sequence Generation Using Grid Beam
  Search
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
Chris Hokamp
Qun Liu
79
379
0
24 Apr 2017
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
224
7,755
0
31 Aug 2015
1