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Boosting Neural Machine Translation
v1v2 (latest)

Boosting Neural Machine Translation

International Joint Conference on Natural Language Processing (IJCNLP), 2016
19 December 2016
Dakun Zhang
Jungi Kim
Josep Crego
Jean Senellart
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Boosting Neural Machine Translation"

17 / 17 papers shown
Title
Separating the Wheat from the Chaff with BREAD: An open-source benchmark
  and metrics to detect redundancy in text
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in textIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Isaac Caswell
Lisa Wang
Isabel Papadimitriou
174
1
0
11 Nov 2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain
  Adaptation in Neural Machine Translation
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine TranslationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Keyu Chen
Zhuang Di
Mingchen Li
J. M. Chang
294
5
0
06 Sep 2023
Exploiting Curriculum Learning in Unsupervised Neural Machine
  Translation
Exploiting Curriculum Learning in Unsupervised Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Jinliang Lu
Jiajun Zhang
133
10
0
23 Sep 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A SurveyJournal of Artificial Intelligence Research (JAIR), 2021
Danielle Saunders
AI4CE
339
106
0
14 Apr 2021
LSTMs Compose (and Learn) Bottom-Up
LSTMs Compose (and Learn) Bottom-Up
Naomi Saphra
Adam Lopez
CoGe
195
18
0
06 Oct 2020
Norm-Based Curriculum Learning for Neural Machine Translation
Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xuebo Liu
Houtim Lai
Yang Li
Lidia S. Chao
171
125
0
03 Jun 2020
Word Interdependence Exposes How LSTMs Compose Representations
Word Interdependence Exposes How LSTMs Compose Representations
Naomi Saphra
Adam Lopez
172
3
0
27 Apr 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine
  Translation
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation
Dana Ruiter
Josef van Genabith
C. España-Bonet
SSL
201
3
0
07 Apr 2020
Curriculum Learning Strategies for IR: An Empirical Study on
  Conversation Response Ranking
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response RankingEuropean Conference on Information Retrieval (ECIR), 2019
Gustavo Penha
C. Hauff
153
24
0
18 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
355
379
0
04 Dec 2019
Optimizing Data Usage via Differentiable Rewards
Optimizing Data Usage via Differentiable RewardsInternational Conference on Machine Learning (ICML), 2019
Xinyi Wang
Hieu H. Pham
Paul Michel
Antonios Anastasopoulos
J. Carbonell
Graham Neubig
379
66
0
22 Nov 2019
Data Ordering Patterns for Neural Machine Translation: An Empirical
  Study
Data Ordering Patterns for Neural Machine Translation: An Empirical Study
Siddhant Garg
85
0
0
23 Sep 2019
Competence-based Curriculum Learning for Neural Machine Translation
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios
Otilia Stretcu
Graham Neubig
Barnabás Póczós
Tom Michael Mitchell
247
385
0
23 Mar 2019
An Empirical Exploration of Curriculum Learning for Neural Machine
  Translation
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Xuan Zhang
Manish Kumar
Huda Khayrallah
Kenton W. Murray
Jeremy Gwinnup
Marianna J. Martindale
Paul McNamee
Kevin Duh
Marine Carpuat
ODL
190
120
0
02 Nov 2018
Dynamic Sentence Sampling for Efficient Training of Neural Machine
  Translation
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
Rui Wang
Masao Utiyama
Eiichiro Sumita
345
28
0
01 May 2018
Low Resourced Machine Translation via Morpho-syntactic Modeling: The
  Case of Dialectal Arabic
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
Alexander Erdmann
Farah E. Shamout
Dima Taji
Houda Bouamor
124
13
0
18 Dec 2017
Dynamic Data Selection for Neural Machine Translation
Dynamic Data Selection for Neural Machine Translation
M. V. D. Wees
Arianna Bisazza
Christof Monz
182
155
0
02 Aug 2017
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