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A Call for Clarity in Reporting BLEU Scores
v1v2 (latest)

A Call for Clarity in Reporting BLEU Scores

Conference on Machine Translation (WMT), 2018
23 April 2018
Matt Post
ArXiv (abs)PDFHTML

Papers citing "A Call for Clarity in Reporting BLEU Scores"

50 / 1,824 papers shown
ELITR Non-Native Speech Translation at IWSLT 2020
ELITR Non-Native Speech Translation at IWSLT 2020
Dominik Machávcek
Jonávs Kratochvíl
Sangeet Sagar
Matúvs vZilinec
Ondrej Bojar
T. Nguyen
Felix Schneider
P. Williams
Yuekun Yao
119
11
0
05 Jun 2020
Self-Training for End-to-End Speech Translation
Self-Training for End-to-End Speech TranslationInterspeech (Interspeech), 2020
J. Pino
Qiantong Xu
Xutai Ma
M. Dousti
Yun Tang
257
68
0
03 Jun 2020
Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual
  Drug Screening Models
Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models
Austin R. Clyde
Xiaotian Duan
Rick L. Stevens
177
10
0
01 Jun 2020
Dynamic Masking for Improved Stability in Spoken Language Translation
Dynamic Masking for Improved Stability in Spoken Language TranslationConference of the Association for Machine Translation in the Americas (AMTA), 2020
Yuekun Yao
Barry Haddow
203
4
0
30 May 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language
  Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Hanrui Wang
Zhanghao Wu
Zhijian Liu
Han Cai
Ligeng Zhu
Chuang Gan
Song Han
270
281
0
28 May 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
2.0K
53,198
0
28 May 2020
Variational Neural Machine Translation with Normalizing Flows
Variational Neural Machine Translation with Normalizing FlowsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Hendra Setiawan
Matthias Sperber
Udhay Nallasamy
Matthias Paulik
DRL
145
13
0
28 May 2020
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by
  Partial Hypothesis Selection
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
Danni Liu
Gerasimos Spanakis
Jan Niehues
130
60
0
22 May 2020
Text-to-Text Pre-Training for Data-to-Text Tasks
Text-to-Text Pre-Training for Data-to-Text Tasks
Mihir Kale
Abhinav Rastogi
AI4CE
343
217
0
21 May 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural
  Machine Translation
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
Bryan Eikema
Wilker Aziz
291
153
0
20 May 2020
Relative Positional Encoding for Speech Recognition and Direct
  Translation
Relative Positional Encoding for Speech Recognition and Direct Translation
Ngoc-Quan Pham
Thanh-Le Ha
Tuan-Nam Nguyen
T. Nguyen
Elizabeth Salesky
S. Stueker
Jan Niehues
A. Waibel
151
41
0
20 May 2020
Neural Polysynthetic Language Modelling
Neural Polysynthetic Language Modelling
Lane Schwartz
Francis M. Tyers
Lori S. Levin
Christo Kirov
Patrick Littell
...
Vasilisa Andriyanets
Aldrian Obaja Muis
Naoki Otani
J. Park
Zhisong Zhang
247
25
0
11 May 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual
  Neural Machine Translation
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
Aditya Siddhant
Ankur Bapna
Yuan Cao
Orhan Firat
Mengzhao Chen
Sneha Kudugunta
N. Arivazhagan
Yonghui Wu
245
88
0
11 May 2020
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Shafiq Joty
Min-Yen Kan
R. Socher
382
113
0
09 May 2020
On Exposure Bias, Hallucination and Domain Shift in Neural Machine
  Translation
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
Chaojun Wang
Rico Sennrich
235
183
0
07 May 2020
It's Easier to Translate out of English than into it: Measuring Neural
  Translation Difficulty by Cross-Mutual Information
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Emanuele Bugliarello
Sabrina J. Mielke
Antonios Anastasopoulos
Robert Bamler
Naoaki Okazaki
234
28
0
05 May 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the
  Transformer Architecture
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer ArchitectureAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Christopher Brix
Parnia Bahar
Hermann Ney
232
40
0
04 May 2020
Using Context in Neural Machine Translation Training Objectives
Using Context in Neural Machine Translation Training ObjectivesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Danielle Saunders
Felix Stahlberg
Bill Byrne
162
20
0
04 May 2020
Generalized Entropy Regularization or: There's Nothing Special about
  Label Smoothing
Generalized Entropy Regularization or: There's Nothing Special about Label SmoothingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Clara Meister
Elizabeth Salesky
Robert Bamler
UQCV
176
66
0
02 May 2020
Hard-Coded Gaussian Attention for Neural Machine Translation
Hard-Coded Gaussian Attention for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Weiqiu You
Simeng Sun
Mohit Iyyer
231
71
0
02 May 2020
Evaluating Robustness to Input Perturbations for Neural Machine
  Translation
Evaluating Robustness to Input Perturbations for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xing Niu
Prashant Mathur
Georgiana Dinu
Yaser Al-Onaizan
AAML
235
64
0
01 May 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Imitation Attacks and Defenses for Black-box Machine Translation SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Eric Wallace
Mitchell Stern
Basel Alomair
AAML
353
130
0
30 Apr 2020
A Study in Improving BLEU Reference Coverage with Diverse Automatic
  Paraphrasing
A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing
Rachel Bawden
Biao Zhang
Lisa Yankovskaya
Andre Tattar
Matt Post
208
1
0
30 Apr 2020
Language Model Prior for Low-Resource Neural Machine Translation
Language Model Prior for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Christos Baziotis
Barry Haddow
Alexandra Birch
456
60
0
30 Apr 2020
Bridging Linguistic Typology and Multilingual Machine Translation with
  Multi-View Language Representations
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Arturo Oncevay
Barry Haddow
Alexandra Birch
229
37
0
30 Apr 2020
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to
  Machine Translation
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Asa Cooper Stickland
Xian Li
Marjan Ghazvininejad
250
49
0
30 Apr 2020
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot
  Paraphrasing
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Brian Thompson
Matt Post
LRM
226
202
0
30 Apr 2020
WT5?! Training Text-to-Text Models to Explain their Predictions
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
230
214
0
30 Apr 2020
Simulated Multiple Reference Training Improves Low-Resource Machine
  Translation
Simulated Multiple Reference Training Improves Low-Resource Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Huda Khayrallah
Brian Thompson
Matt Post
Philipp Koehn
335
40
0
30 Apr 2020
Exploiting Sentence Order in Document Alignment
Exploiting Sentence Order in Document AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Brian Thompson
Philipp Koehn
187
21
0
30 Apr 2020
Syntax-aware Data Augmentation for Neural Machine Translation
Syntax-aware Data Augmentation for Neural Machine TranslationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Sufeng Duan
Hai Zhao
Dongdong Zhang
Rui Wang
153
20
0
29 Apr 2020
Adversarial Subword Regularization for Robust Neural Machine Translation
Adversarial Subword Regularization for Robust Neural Machine TranslationFindings (Findings), 2020
Jungsoo Park
Mujeen Sung
Jinhyuk Lee
Jaewoo Kang
252
11
0
29 Apr 2020
Revisiting Round-Trip Translation for Quality Estimation
Revisiting Round-Trip Translation for Quality EstimationEuropean Association for Machine Translation Conferences/Workshops (EAMT), 2020
Jihyung Moon
Hyun Chang Cho
Eunjeong Lucy Park
114
37
0
29 Apr 2020
Self-Attention with Cross-Lingual Position Representation
Self-Attention with Cross-Lingual Position RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Liang Ding
Longyue Wang
Dacheng Tao
MILM
369
40
0
28 Apr 2020
Neural Machine Translation with Monte-Carlo Tree Search
Neural Machine Translation with Monte-Carlo Tree Search
Jerrod Parker
Jerry Zikun Chen
62
1
0
27 Apr 2020
All Word Embeddings from One Embedding
All Word Embeddings from One EmbeddingNeural Information Processing Systems (NeurIPS), 2020
Sho Takase
Sosuke Kobayashi
195
12
0
25 Apr 2020
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
On Sparsifying Encoder Outputs in Sequence-to-Sequence ModelsFindings (Findings), 2020
Biao Zhang
Ivan Titov
Rico Sennrich
100
14
0
24 Apr 2020
When and Why is Unsupervised Neural Machine Translation Useless?
When and Why is Unsupervised Neural Machine Translation Useless?
Yunsu Kim
Miguel Graça
Hermann Ney
SSL
264
73
0
22 Apr 2020
Testing Machine Translation via Referential Transparency
Testing Machine Translation via Referential Transparency
Pinjia He
Clara Meister
Z. Su
226
60
0
22 Apr 2020
Building a Multi-domain Neural Machine Translation Model using Knowledge
  Distillation
Building a Multi-domain Neural Machine Translation Model using Knowledge DistillationEuropean Conference on Artificial Intelligence (ECAI), 2020
Idriss Mghabbar
Pirashanth Ratnamogan
125
14
0
15 Apr 2020
A Human Evaluation of AMR-to-English Generation Systems
A Human Evaluation of AMR-to-English Generation SystemsInternational Conference on Computational Linguistics (COLING), 2020
Emma Manning
Shira Wein
Nathan Schneider
275
21
0
14 Apr 2020
Balancing Training for Multilingual Neural Machine Translation
Balancing Training for Multilingual Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xinyi Wang
Yulia Tsvetkov
Graham Neubig
428
111
0
14 Apr 2020
BLEU might be Guilty but References are not Innocent
BLEU might be Guilty but References are not InnocentConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Markus Freitag
David Grangier
Isaac Caswell
281
159
0
13 Apr 2020
When Does Unsupervised Machine Translation Work?
When Does Unsupervised Machine Translation Work?Conference on Machine Translation (WMT), 2020
Kelly Marchisio
Kevin Duh
Philipp Koehn
LRM
323
76
0
12 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain
  Adaptation Problem
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Danielle Saunders
Bill Byrne
AI4CE
319
152
0
09 Apr 2020
Improving Fluency of Non-Autoregressive Machine Translation
Improving Fluency of Non-Autoregressive Machine Translation
Zdeněk Kasner
Jindrich Libovický
Jindvrich Helcl
AI4CE
85
8
0
07 Apr 2020
Meta-Learning for Few-Shot NMT Adaptation
Meta-Learning for Few-Shot NMT AdaptationWorkshop on Neural Generation and Translation (WNGT), 2020
Amr Sharaf
Hany Hassan
Hal Daumé
146
35
0
06 Apr 2020
Dictionary-based Data Augmentation for Cross-Domain Neural Machine
  Translation
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
Wei Peng
Chongxuan Huang
Tianhao Li
Yun-Nung Chen
Qun Liu
197
26
0
06 Apr 2020
Finding the Optimal Vocabulary Size for Neural Machine Translation
Finding the Optimal Vocabulary Size for Neural Machine Translation
Thamme Gowda
Jonathan May
148
3
0
05 Apr 2020
Unsupervised Domain Clusters in Pretrained Language Models
Unsupervised Domain Clusters in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Roee Aharoni
Yoav Goldberg
373
272
0
05 Apr 2020
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