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What do Neural Machine Translation Models Learn about Morphology?

What do Neural Machine Translation Models Learn about Morphology?

11 April 2017
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
ArXivPDFHTML

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

50 / 245 papers shown
Title
What do pre-trained code models know about code?
What do pre-trained code models know about code?
Anjan Karmakar
Romain Robbes
ELM
32
87
0
25 Aug 2021
What can Neural Referential Form Selectors Learn?
What can Neural Referential Form Selectors Learn?
Guanyi Chen
F. Same
Kees van Deemter
22
6
0
15 Aug 2021
Grounding Representation Similarity with Statistical Testing
Grounding Representation Similarity with Statistical Testing
Frances Ding
Jean-Stanislas Denain
Jacob Steinhardt
22
30
0
03 Aug 2021
On the Difficulty of Translating Free-Order Case-Marking Languages
On the Difficulty of Translating Free-Order Case-Marking Languages
Arianna Bisazza
A. Ustun
Stephan Sportel
36
9
0
13 Jul 2021
What do End-to-End Speech Models Learn about Speaker, Language and
  Channel Information? A Layer-wise and Neuron-level Analysis
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
Shammur A. Chowdhury
Nadir Durrani
Ahmed M. Ali
36
12
0
01 Jul 2021
Memorization and Generalization in Neural Code Intelligence Models
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin
Aftab Hussain
Mohammad Amin Alipour
Vincent J. Hellendoorn
TDI
35
40
0
16 Jun 2021
How transfer learning impacts linguistic knowledge in deep NLP models?
How transfer learning impacts linguistic knowledge in deep NLP models?
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
13
48
0
31 May 2021
Computational Morphology with Neural Network Approaches
Computational Morphology with Neural Network Approaches
Ling Liu
AI4CE
29
8
0
19 May 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Hassan Sajjad
Narine Kokhlikyan
Fahim Dalvi
Nadir Durrani
MILM
30
8
0
17 May 2021
How Reliable are Model Diagnostics?
How Reliable are Model Diagnostics?
V. Aribandi
Yi Tay
Donald Metzler
19
19
0
12 May 2021
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Vladislav Mikhailov
O. Serikov
Ekaterina Artemova
12
9
0
26 Apr 2021
A multilabel approach to morphosyntactic probing
A multilabel approach to morphosyntactic probing
Naomi Tachikawa Shapiro
Amandalynne Paullada
Shane Steinert-Threlkeld
34
10
0
17 Apr 2021
Effect of Post-processing on Contextualized Word Representations
Effect of Post-processing on Contextualized Word Representations
Hassan Sajjad
Firoj Alam
Fahim Dalvi
Nadir Durrani
6
9
0
15 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong
Dan Friedman
Danqi Chen
14
403
0
12 Apr 2021
Probing BERT in Hyperbolic Spaces
Probing BERT in Hyperbolic Spaces
Boli Chen
Yao Fu
Guangwei Xu
Pengjun Xie
Chuanqi Tan
Mosha Chen
L. Jing
18
56
0
08 Apr 2021
Explaining a Neural Attention Model for Aspect-Based Sentiment
  Classification Using Diagnostic Classification
Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
Lisa Meijer
Flavius Frasincar
Maria Mihaela Truşcǎ
14
4
0
29 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
33
48
0
20 Mar 2021
An empirical analysis of phrase-based and neural machine translation
An empirical analysis of phrase-based and neural machine translation
Hamidreza Ghader
21
1
0
04 Mar 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
Evaluating Contextualized Language Models for Hungarian
Evaluating Contextualized Language Models for Hungarian
Judit Ács
Dániel Lévai
D. Nemeskey
András Kornai
14
1
0
22 Feb 2021
HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis
  and Emotion Recognition
HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition
Avihay Chriqui
I. Yahav
31
36
0
03 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
269
346
0
01 Feb 2021
On the Evolution of Syntactic Information Encoded by BERT's
  Contextualized Representations
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations
Laura Pérez-Mayos
Roberto Carlini
Miguel Ballesteros
Leo Wanner
27
7
0
27 Jan 2021
Coloring the Black Box: What Synesthesia Tells Us about Character
  Embeddings
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
Katharina Kann
Mauro M. Monsalve-Mercado
12
2
0
26 Jan 2021
To Understand Representation of Layer-aware Sequence Encoders as
  Multi-order-graph
To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph
Sufeng Duan
Hai Zhao
MILM
22
0
0
16 Jan 2021
What all do audio transformer models hear? Probing Acoustic
  Representations for Language Delivery and its Structure
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
Jui Shah
Yaman Kumar Singla
Changyou Chen
R. Shah
25
81
0
02 Jan 2021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence
  Learning
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
Xuebo Liu
Longyue Wang
Derek F. Wong
Liang Ding
Lidia S. Chao
Zhaopeng Tu
AI4CE
19
35
0
29 Dec 2020
Towards a Universal Continuous Knowledge Base
Towards a Universal Continuous Knowledge Base
Gang Chen
Maosong Sun
Yang Liu
18
3
0
25 Dec 2020
diagNNose: A Library for Neural Activation Analysis
diagNNose: A Library for Neural Activation Analysis
Jaap Jumelet
AI4CE
17
9
0
13 Nov 2020
CxGBERT: BERT meets Construction Grammar
CxGBERT: BERT meets Construction Grammar
Harish Tayyar Madabushi
Laurence Romain
Dagmar Divjak
P. Milin
11
38
0
09 Nov 2020
Understanding Pure Character-Based Neural Machine Translation: The Case
  of Translating Finnish into English
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Gongbo Tang
Rico Sennrich
Joakim Nivre
22
7
0
06 Nov 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
Hu Xu
Lei Shu
Philip S. Yu
Bing-Quan Liu
SSL
18
44
0
31 Oct 2020
Probing Task-Oriented Dialogue Representation from Language Models
Probing Task-Oriented Dialogue Representation from Language Models
Chien-Sheng Wu
Caiming Xiong
13
20
0
26 Oct 2020
Deep Clustering of Text Representations for Supervision-free Probing of
  Syntax
Deep Clustering of Text Representations for Supervision-free Probing of Syntax
Vikram Gupta
Haoyue Shi
Kevin Gimpel
Mrinmaya Sachan
29
9
0
24 Oct 2020
Analyzing the Source and Target Contributions to Predictions in Neural
  Machine Translation
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Elena Voita
Rico Sennrich
Ivan Titov
17
84
0
21 Oct 2020
Intrinsic Probing through Dimension Selection
Intrinsic Probing through Dimension Selection
Lucas Torroba Hennigen
Adina Williams
Ryan Cotterell
20
57
0
06 Oct 2020
Analyzing Individual Neurons in Pre-trained Language Models
Analyzing Individual Neurons in Pre-trained Language Models
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
Yonatan Belinkov
MILM
11
104
0
06 Oct 2020
On the Sub-Layer Functionalities of Transformer Decoder
On the Sub-Layer Functionalities of Transformer Decoder
Yilin Yang
Longyue Wang
Shuming Shi
Prasad Tadepalli
Stefan Lee
Zhaopeng Tu
24
27
0
06 Oct 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for
  Linguistic Knowledge in Pre-trained Transformers
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
Marius Mosbach
A. Khokhlova
Michael A. Hedderich
Dietrich Klakow
17
44
0
06 Oct 2020
Syntax Representation in Word Embeddings and Neural Networks -- A Survey
Syntax Representation in Word Embeddings and Neural Networks -- A Survey
Tomasz Limisiewicz
David Marecek
NAI
23
9
0
02 Oct 2020
Examining the rhetorical capacities of neural language models
Examining the rhetorical capacities of neural language models
Zining Zhu
Chuer Pan
Mohamed Abdalla
Frank Rudzicz
28
10
0
01 Oct 2020
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
20
37
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 Translation
Rajiv Movva
Jason Zhao
18
12
0
17 Sep 2020
An information theoretic view on selecting linguistic probes
An information theoretic view on selecting linguistic probes
Zining Zhu
Frank Rudzicz
20
19
0
15 Sep 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
45
30
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
14
3
0
29 Jun 2020
Differentiable Window for Dynamic Local Attention
Differentiable Window for Dynamic Local Attention
Thanh-Tung Nguyen
Xuan-Phi Nguyen
Shafiq R. Joty
Xiaoli Li
17
12
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
21
13
0
07 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
A. Kuncoro
Lingpeng Kong
Daniel Fried
Dani Yogatama
Laura Rimell
Chris Dyer
Phil Blunsom
31
33
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
23
212
0
07 May 2020
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