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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
Title
Examining Structure of Word Embeddings with PCA
Examining Structure of Word Embeddings with PCAInternational Conference on Text, Speech and Dialogue (TSD), 2019
Tomáš Musil
168
13
0
31 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
526
1,306
0
23 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representationsInternational Conference on Learning Representations (ICLR), 2019
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
378
910
0
15 May 2019
Contextualization of Morphological Inflection
Contextualization of Morphological InflectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Ekaterina Vylomova
Robert Bamler
Timothy Baldwin
Trevor Cohn
Jason Eisner
100
5
0
04 May 2019
Multi-Head Multi-Layer Attention to Deep Language Representations for
  Grammatical Error Detection
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection
Masahiro Kaneko
Mamoru Komachi
96
31
0
15 Apr 2019
LINSPECTOR: Multilingual Probing Tasks for Word Representations
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsInternational Conference on Computational Logic (ICCL), 2019
Gözde Gül Sahin
Clara Vania
Ilia Kuznetsov
Iryna Gurevych
158
45
0
22 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual RepresentationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
684
782
0
21 Mar 2019
Still a Pain in the Neck: Evaluating Text Representations on Lexical
  Composition
Still a Pain in the Neck: Evaluating Text Representations on Lexical CompositionTransactions of the Association for Computational Linguistics (TACL), 2019
Vered Shwartz
Ido Dagan
CoGe
175
86
0
27 Feb 2019
Discovery of Natural Language Concepts in Individual Units of CNNs
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na
Yo Joong Choe
Dong-Hyun Lee
Gunhee Kim
MILM
111
25
0
18 Feb 2019
No Training Required: Exploring Random Encoders for Sentence
  Classification
No Training Required: Exploring Random Encoders for Sentence ClassificationInternational Conference on Learning Representations (ICLR), 2019
John Wieting
Douwe Kiela
214
101
0
29 Jan 2019
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in
  Deep NLP Models
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
Yonatan Belinkov
A. Bau
James R. Glass
MILM
201
210
0
21 Dec 2018
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
243
588
0
21 Dec 2018
RNNs Implicitly Implement Tensor Product Representations
RNNs Implicitly Implement Tensor Product Representations
R. Thomas McCoy
Tal Linzen
Ewan Dunbar
P. Smolensky
129
58
0
20 Dec 2018
The Best of Both Worlds: Lexical Resources To Improve Low-Resource
  Part-of-Speech Tagging
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank
Sigrid Klerke
Zeljko Agic
NAI
159
5
0
21 Nov 2018
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Luzi Sennhauser
Robert C. Berwick
167
57
0
06 Nov 2018
Investigating context features hidden in End-to-End TTS
Investigating context features hidden in End-to-End TTS
Kohki Mametani
T. Kato
Seiichi Yamamoto
83
9
0
04 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine
  Translation
Identifying and Controlling Important Neurons in Neural Machine Translation
A. Bau
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
MILM
186
190
0
03 Nov 2018
Understanding Learning Dynamics Of Language Models with SVCCA
Understanding Learning Dynamics Of Language Models with SVCCA
Naomi Saphra
Adam Lopez
350
105
0
01 Nov 2018
Marrying Universal Dependencies and Universal Morphology
Marrying Universal Dependencies and Universal Morphology
Arya D. McCarthy
Miikka Silfverberg
Robert Bamler
Mans Hulden
David Yarowsky
198
45
0
15 Oct 2018
Language Modeling Teaches You More Syntax than Translation Does: Lessons
  Learned Through Auxiliary Task Analysis
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis
Kelly W. Zhang
Samuel R. Bowman
202
72
0
26 Sep 2018
Character-Aware Decoder for Translation into Morphologically Rich
  Languages
Character-Aware Decoder for Translation into Morphologically Rich Languages
Adithya Renduchintala
Pamela Shapiro
Kevin Duh
Philipp Koehn
AI4CE
203
5
0
06 Sep 2018
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual
  Comparison and Analysis
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis
Pamela Shapiro
Kevin Duh
138
9
0
05 Sep 2018
Parameter Sharing Methods for Multilingual Self-Attentional Translation
  Models
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models
Devendra Singh Sachan
Graham Neubig
MoE
140
115
0
01 Sep 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do
  They Discover Linguistic Rules?
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
Kris Demuynck
J. Dambre
W. D. Neve
T. Demeester
AI4CE
115
18
0
28 Aug 2018
What do character-level models learn about morphology? The case of
  dependency parsing
What do character-level models learn about morphology? The case of dependency parsing
Clara Vania
Andreas Grivas
Adam Lopez
AI4CE
129
25
0
28 Aug 2018
Dissecting Contextual Word Embeddings: Architecture and Representation
Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew E. Peters
Mark Neumann
Luke Zettlemoyer
Anuj Kumar
192
459
0
27 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
262
12
0
27 Jul 2018
Lost in Translation: Analysis of Information Loss During Machine
  Translation Between Polysynthetic and Fusional Languages
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages
Manuel Mager
Elisabeth Mager
A. M. Urrea
Ivan Vladimir Meza Ruiz
Katharina Kann
173
20
0
01 Jul 2018
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
116
69
0
19 Jun 2018
Character-Level Models versus Morphology in Semantic Role Labeling
Character-Level Models versus Morphology in Semantic Role Labeling
Gözde Gül Sahin
Mark Steedman
207
17
0
30 May 2018
LSTMs Exploit Linguistic Attributes of Data
LSTMs Exploit Linguistic Attributes of Data
Nelson F. Liu
Omer Levy
Roy Schwartz
Chenhao Tan
Noah A. Smith
81
15
0
29 May 2018
Soft Layer-Specific Multi-Task Summarization with Entailment and
  Question Generation
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
142
139
0
28 May 2018
Inducing Grammars with and for Neural Machine Translation
Inducing Grammars with and for Neural Machine Translation
Ke M. Tran
Yonatan Bisk
112
22
0
28 May 2018
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep
  Multi-task Learning Approach
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach
Poorya Zaremoodi
Gholamreza Haffari
105
20
0
11 May 2018
Deep RNNs Encode Soft Hierarchical Syntax
Deep RNNs Encode Soft Hierarchical Syntax
Terra Blevins
Omer Levy
Luke Zettlemoyer
182
114
0
11 May 2018
The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
L. Shekhar
Niranjan Balasubramanian
268
30
0
03 May 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
579
942
0
03 May 2018
On the Evaluation of Semantic Phenomena in Neural Machine Translation
  Using Natural Language Inference
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
Yonatan Belinkov
James R. Glass
Benjamin Van Durme
124
41
0
25 Apr 2018
Scheduled Multi-Task Learning: From Syntax to Translation
Scheduled Multi-Task Learning: From Syntax to TranslationTransactions of the Association for Computational Linguistics (TACL), 2018
E. Kiperwasser
Miguel Ballesteros
130
85
0
24 Apr 2018
Collecting Diverse Natural Language Inference Problems for Sentence
  Representation Evaluation
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
Aparajita Haldar
Rachel Rudinger
J. E. Hu
Ellie Pavlick
Aaron Steven White
Benjamin Van Durme
AI4CE
95
0
0
23 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large
  Scale Multi-task Learning
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian
Adam Trischler
Yoshua Bengio
C. Pal
SSL
205
334
0
30 Mar 2018
Colorless green recurrent networks dream hierarchically
Colorless green recurrent networks dream hierarchically
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
213
522
0
29 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
1.1K
11,927
0
15 Feb 2018
Evaluating Layers of Representation in Neural Machine Translation on
  Part-of-Speech and Semantic Tagging Tasks
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
Yonatan Belinkov
Lluís Màrquez i Villodre
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
196
173
0
23 Jan 2018
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
343
781
0
06 Nov 2017
What does Attention in Neural Machine Translation Pay Attention to?
What does Attention in Neural Machine Translation Pay Attention to?
Hamidreza Ghader
Christof Monz
141
113
0
09 Oct 2017
Analyzing Hidden Representations in End-to-End Automatic Speech
  Recognition Systems
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
Yonatan Belinkov
James R. Glass
104
90
0
13 Sep 2017
Do latent tree learning models identify meaningful structure in
  sentences?
Do latent tree learning models identify meaningful structure in sentences?
Adina Williams
Andrew Drozdov
Samuel R. Bowman
191
22
0
04 Sep 2017
Challenging Language-Dependent Segmentation for Arabic: An Application
  to Machine Translation and Part-of-Speech Tagging
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad
Fahim Dalvi
Nadir Durrani
Ahmed Abdelali
Yonatan Belinkov
S. Vogel
151
29
0
02 Sep 2017
Learning Language Representations for Typology Prediction
Learning Language Representations for Typology Prediction
Chaitanya Malaviya
Graham Neubig
Patrick Littell
168
111
0
29 Jul 2017
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