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. 1803.00047
  4. Cited By
Analyzing Uncertainty in Neural Machine Translation

Analyzing Uncertainty in Neural Machine Translation

28 February 2018
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
    UQLM
ArXivPDFHTML

Papers citing "Analyzing Uncertainty in Neural Machine Translation"

29 / 179 papers shown
Title
Mixture Content Selection for Diverse Sequence Generation
Mixture Content Selection for Diverse Sequence Generation
Jaemin Cho
Minjoon Seo
Hannaneh Hajishirzi
17
61
0
04 Sep 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation
Improving Back-Translation with Uncertainty-based Confidence Estimation
Shuo Wang
Yang Liu
Chao Wang
Huanbo Luan
Maosong Sun
UQLM
24
81
0
31 Aug 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
Felix Stahlberg
Bill Byrne
LRM
11
152
0
27 Aug 2019
Latent-Variable Non-Autoregressive Neural Machine Translation with
  Deterministic Inference Using a Delta Posterior
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
Raphael Shu
Jason D. Lee
Hideki Nakayama
Kyunghyun Cho
BDL
17
115
0
20 Aug 2019
Leveraging Sentence Similarity in Natural Language Generation: Improving
  Beam Search using Range Voting
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting
Sebastian Borgeaud
Guy Edward Toh Emerson
12
18
0
17 Aug 2019
Generalizing Back-Translation in Neural Machine Translation
Generalizing Back-Translation in Neural Machine Translation
Miguel Graça
Yunsu Kim
Julian Schamper
Shahram Khadivi
Hermann Ney
9
48
0
17 Jun 2019
Calibration, Entropy Rates, and Memory in Language Models
Calibration, Entropy Rates, and Memory in Language Models
M. Braverman
Xinyi Chen
Sham Kakade
Karthik Narasimhan
Cyril Zhang
Yi Zhang
11
38
0
11 Jun 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
30
1,908
0
06 Jun 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
VLM
FaML
23
3,125
0
01 Apr 2019
Calibration of Encoder Decoder Models for Neural Machine Translation
Calibration of Encoder Decoder Models for Neural Machine Translation
Aviral Kumar
Sunita Sarawagi
11
98
0
03 Mar 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Mixture Models for Diverse Machine Translation: Tricks of the Trade
T. Shen
Myle Ott
Michael Auli
MarcÁurelio Ranzato
MoE
14
148
0
20 Feb 2019
The FLoRes Evaluation Datasets for Low-Resource Machine Translation:
  Nepali-English and Sinhala-English
The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
Francisco Guzmán
Peng-Jen Chen
Myle Ott
J. Pino
Guillaume Lample
Philipp Koehn
Vishrav Chaudhary
MarcÁurelio Ranzato
20
143
0
04 Feb 2019
Non-Autoregressive Neural Machine Translation with Enhanced Decoder
  Input
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo
Xu Tan
Di He
Tao Qin
Linli Xu
Tie-Yan Liu
9
125
0
23 Dec 2018
Extractive Summary as Discrete Latent Variables
Extractive Summary as Discrete Latent Variables
Aran Komatsuzaki
11
3
0
14 Nov 2018
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
121
215
0
06 Nov 2018
Bi-Directional Differentiable Input Reconstruction for Low-Resource
  Neural Machine Translation
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
Xing Niu
Weijia Xu
Marine Carpuat
19
17
0
02 Nov 2018
Adaptive Input Representations for Neural Language Modeling
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski
Michael Auli
21
386
0
28 Sep 2018
FRAGE: Frequency-Agnostic Word Representation
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong
Di He
Xu Tan
Tao Qin
Liwei Wang
Tie-Yan Liu
OOD
18
144
0
18 Sep 2018
Quantum Statistics-Inspired Neural Attention
Quantum Statistics-Inspired Neural Attention
Aristotelis Charalampous
S. Chatzis
14
0
0
17 Sep 2018
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary
  Prediction
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
Kazuma Hashimoto
Yoshimasa Tsuruoka
8
7
0
05 Sep 2018
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and
  Stopping Criteria for Neural Machine Translation
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Yilin Yang
Liang Huang
Mingbo Ma
26
92
0
28 Aug 2018
A Survey of the Usages of Deep Learning in Natural Language Processing
A Survey of the Usages of Deep Learning in Natural Language Processing
Dan Otter
Julian R. Medina
Jugal Kalita
VLM
25
11
0
27 Jul 2018
Scaling Neural Machine Translation
Scaling Neural Machine Translation
Myle Ott
Sergey Edunov
David Grangier
Michael Auli
AIMat
19
610
0
01 Jun 2018
On the Impact of Various Types of Noise on Neural Machine Translation
On the Impact of Various Types of Noise on Neural Machine Translation
Huda Khayrallah
Philipp Koehn
AAML
26
217
0
31 May 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
11
311
0
18 Apr 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
50
185
0
14 Nov 2017
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
215
1,207
0
12 Jun 2017
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Neural versus Phrase-Based Machine Translation Quality: a Case Study
L. Bentivogli
Arianna Bisazza
Mauro Cettolo
Marcello Federico
191
328
0
16 Aug 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
Previous
1234