ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.03471
  4. Cited By
What do Neural Machine Translation Models Learn about Morphology?
v1v2v3 (latest)

What do Neural Machine Translation Models Learn about Morphology?

11 April 2017
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
ArXiv (abs)PDFHTML

Papers citing "What do Neural Machine Translation Models Learn about Morphology?"

50 / 251 papers shown
What does it mean to be language-agnostic? Probing multilingual sentence
  encoders for typological properties
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties
Rochelle Choenni
Ekaterina Shutova
267
40
0
27 Sep 2020
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study
  of Sparse Neural Machine Translation
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine TranslationBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020
Rajiv Movva
Jason Zhao
213
12
0
17 Sep 2020
An information theoretic view on selecting linguistic probes
An information theoretic view on selecting linguistic probesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Zining Zhu
Frank Rudzicz
169
21
0
15 Sep 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
353
29
0
31 Jul 2020
Measuring Memorization Effect in Word-Level Neural Networks Probing
Measuring Memorization Effect in Word-Level Neural Networks Probing
Rudolf Rosa
Tomáš Musil
David Marevcek
179
4
0
29 Jun 2020
Differentiable Window for Dynamic Local Attention
Differentiable Window for Dynamic Local AttentionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Thanh-Tung Nguyen
Xuan-Phi Nguyen
Shafiq Joty
Xiaoli Li
108
14
0
24 Jun 2020
Probing Neural Dialog Models for Conversational Understanding
Probing Neural Dialog Models for Conversational Understanding
Abdelrhman Saleh
Tovly Deutsch
Stephen Casper
Yonatan Belinkov
Stuart M. Shieber
145
14
0
07 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Syntactic Structure Distillation Pretraining For Bidirectional EncodersTransactions of the Association for Computational Linguistics (TACL), 2020
A. Kuncoro
Lingpeng Kong
Daniel Fried
Dani Yogatama
Laura Rimell
Chris Dyer
Phil Blunsom
202
35
0
27 May 2020
A Systematic Assessment of Syntactic Generalization in Neural Language
  Models
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
290
250
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
229
28
0
05 May 2020
Similarity Analysis of Contextual Word Representation Models
Similarity Analysis of Contextual Word Representation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
John M. Wu
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
262
79
0
03 May 2020
Emergence of Syntax Needs Minimal Supervision
Emergence of Syntax Needs Minimal SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Raphaël Bailly
Kata Gábor
172
5
0
03 May 2020
A Matter of Framing: The Impact of Linguistic Formalism on Probing
  Results
A Matter of Framing: The Impact of Linguistic Formalism on Probing ResultsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ilia Kuznetsov
Iryna Gurevych
108
28
0
30 Apr 2020
Asking without Telling: Exploring Latent Ontologies in Contextual
  Representations
Asking without Telling: Exploring Latent Ontologies in Contextual RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Julian Michael
Jan A. Botha
Ian Tenney
314
44
0
29 Apr 2020
What Happens To BERT Embeddings During Fine-tuning?
What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020
Amil Merchant
Elahe Rahimtoroghi
Ellie Pavlick
Ian Tenney
232
206
0
29 Apr 2020
Do Neural Language Models Show Preferences for Syntactic Formalisms?
Do Neural Language Models Show Preferences for Syntactic Formalisms?Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Artur Kulmizev
Vinit Ravishankar
Mostafa Abdou
Joakim Nivre
MILM
173
46
0
29 Apr 2020
Assessing the Bilingual Knowledge Learned by Neural Machine Translation
  Models
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
Shilin He
Xing Wang
Shuming Shi
Michael R. Lyu
Zhaopeng Tu
158
5
0
28 Apr 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
Probing Linguistic Features of Sentence-Level Representations in Neural
  Relation Extraction
Probing Linguistic Features of Sentence-Level Representations in Neural Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
NAI
150
34
0
17 Apr 2020
On the Effect of Dropping Layers of Pre-trained Transformer Models
On the Effect of Dropping Layers of Pre-trained Transformer ModelsComputer Speech and Language (CSL), 2020
Hassan Sajjad
Fahim Dalvi
Nadir Durrani
Preslav Nakov
311
171
0
08 Apr 2020
A Systematic Analysis of Morphological Content in BERT Models for
  Multiple Languages
A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages
Daniel Edmiston
107
33
0
06 Apr 2020
On the Integration of LinguisticFeatures into Statistical and Neural
  Machine Translation
On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
Eva Vanmassenhove
163
0
0
31 Mar 2020
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent
  Neural Networks
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural NetworksNordic Conference of Computational Linguistics (NODALIDA), 2020
Prajit Dhar
Arianna Bisazza
222
10
0
31 Mar 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A SurveyScience China Technological Sciences (Sci China Technol Sci), 2020
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
1.1K
1,616
0
18 Mar 2020
On the impressive performance of randomly weighted encoders in
  summarization tasks
On the impressive performance of randomly weighted encoders in summarization tasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jonathan Pilault
Jaehong Park
C. Pal
BDL
149
6
0
21 Feb 2020
Bi-Decoder Augmented Network for Neural Machine Translation
Bi-Decoder Augmented Network for Neural Machine TranslationNeurocomputing (Neurocomputing), 2020
Boyuan Pan
Yazheng Yang
Zhou Zhao
Yueting Zhuang
Deng Cai
160
5
0
14 Jan 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
367
379
0
04 Dec 2019
COSTRA 1.0: A Dataset of Complex Sentence Transformations
COSTRA 1.0: A Dataset of Complex Sentence TransformationsInternational Conference on Language Resources and Evaluation (LREC), 2019
P. Barancíková
Ondrej Bojar
134
7
0
03 Dec 2019
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics (TACL), 2019
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
669
1,556
0
28 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation
  Models
On the Linguistic Representational Power of Neural Machine Translation ModelsInternational Conference on Computational Logic (ICCL), 2019
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
MILM
227
74
0
01 Nov 2019
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
Ekaterina Arkhangelskaia
Sourav Dutta
AIMat
67
10
0
14 Oct 2019
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer
  Representations
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer RepresentationsInternational Conference on Information and Knowledge Management (CIKM), 2019
Betty van Aken
B. Winter
Alexander Loser
Felix Alexander Gers
117
173
0
11 Sep 2019
Designing and Interpreting Probes with Control Tasks
Designing and Interpreting Probes with Control TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
John Hewitt
Abigail Z. Jacobs
433
593
0
08 Sep 2019
Investigating Multilingual NMT Representations at Scale
Investigating Multilingual NMT Representations at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Sneha Kudugunta
Ankur Bapna
Isaac Caswell
N. Arivazhagan
Orhan Firat
LRM
376
131
0
05 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling ObjectivesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Elena Voita
Rico Sennrich
Ivan Titov
464
202
0
03 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance
Towards Understanding Neural Machine Translation with Word ImportanceConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Shilin He
Zhaopeng Tu
Xing Wang
Longyue Wang
Michael R. Lyu
Shuming Shi
AAML
341
42
0
01 Sep 2019
Encoders Help You Disambiguate Word Senses in Neural Machine Translation
Encoders Help You Disambiguate Word Senses in Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Gongbo Tang
Rico Sennrich
Joakim Nivre
185
22
0
30 Aug 2019
Visual Interaction with Deep Learning Models through Collaborative
  Semantic Inference
Visual Interaction with Deep Learning Models through Collaborative Semantic InferenceIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Sebastian Gehrmann
Hendrik Strobelt
Robert Krüger
Hanspeter Pfister
Alexander M. Rush
HAI
183
61
0
24 Jul 2019
Understanding Neural Machine Translation by Simplification: The Case of
  Encoder-free Models
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
Gongbo Tang
Rico Sennrich
Joakim Nivre
AI4CE
122
14
0
18 Jul 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb
  Constructions?
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?Computational Linguistics (CL), 2019
Miryam de Lhoneux
Sara Stymne
Joakim Nivre
143
3
0
18 Jul 2019
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation
  Architectures
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation ArchitecturesMachine Translation Summit (MT Summit), 2019
Hamidreza Ghader
Christof Monz
118
2
0
08 Jul 2019
Widening the Representation Bottleneck in Neural Machine Translation
  with Lexical Shortcuts
Widening the Representation Bottleneck in Neural Machine Translation with Lexical ShortcutsConference on Machine Translation (WMT), 2019
Denis Emelin
Ivan Titov
Rico Sennrich
138
10
0
28 Jun 2019
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level
  Neural Language Models Trained on Unsegmented Text
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented TextTransactions of the Association for Computational Linguistics (TACL), 2019
Michael Hahn
Marco Baroni
LMTD
79
15
0
17 Jun 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Scalable Syntax-Aware Language Models Using Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
210
28
0
14 Jun 2019
Probing Multilingual Sentence Representations With X-Probe
Probing Multilingual Sentence Representations With X-Probe
Vinit Ravishankar
Lilja Øvrelid
Erik Velldal
114
21
0
12 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
613
1,834
0
11 Jun 2019
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves
  Classification
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Tu Vu
Mohit Iyyer
114
2
0
09 Jun 2019
Better Character Language Modeling Through Morphology
Better Character Language Modeling Through MorphologyAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Terra Blevins
Luke Zettlemoyer
114
11
0
03 Jun 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order
Assessing the Ability of Self-Attention Networks to Learn Word OrderAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Baosong Yang
Longyue Wang
Yang Li
Lidia S. Chao
Zhaopeng Tu
157
32
0
03 Jun 2019
Pretraining Methods for Dialog Context Representation Learning
Pretraining Methods for Dialog Context Representation LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Shikib Mehri
E. Razumovskaia
Tiancheng Zhao
M. Eskénazi
228
85
0
02 Jun 2019
Previous
123456
Next