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Adding Interpretable Attention to Neural Translation Models Improves
  Word Alignment

Adding Interpretable Attention to Neural Translation Models Improves Word Alignment

31 January 2019
Thomas Zenkel
Joern Wuebker
John DeNero
ArXivPDFHTML

Papers citing "Adding Interpretable Attention to Neural Translation Models Improves Word Alignment"

20 / 20 papers shown
Title
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive
  Learning
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Jingshen Zhang
Xinying Qiu
Teng Shen
Wenyu Wang
Kailin Zhang
Wenhe Feng
48
0
0
06 Jul 2024
Gloss Alignment Using Word Embeddings
Gloss Alignment Using Word Embeddings
Harry Walsh
Ozge Mercanoglu Sincan
Ben Saunders
Richard Bowden
27
1
0
08 Aug 2023
Explaining How Transformers Use Context to Build Predictions
Explaining How Transformers Use Context to Build Predictions
Javier Ferrando
Gerard I. Gállego
Ioannis Tsiamas
Marta R. Costa-jussá
37
32
0
21 May 2023
Checks and Strategies for Enabling Code-Switched Machine Translation
Checks and Strategies for Enabling Code-Switched Machine Translation
Thamme Gowda
Mozhdeh Gheini
Jonathan May
30
3
0
11 Oct 2022
Toxicity in Multilingual Machine Translation at Scale
Toxicity in Multilingual Machine Translation at Scale
Marta R. Costa-jussá
Eric Michael Smith
C. Ropers
Daniel Licht
Jean Maillard
Javier Ferrando
Carlos Escolano
35
26
0
06 Oct 2022
Automatic Correction of Human Translations
Automatic Correction of Human Translations
Jessy Lin
G. Kovács
Aditya Shastry
Joern Wuebker
John DeNero
39
3
0
17 Jun 2022
Towards Opening the Black Box of Neural Machine Translation: Source and
  Target Interpretations of the Transformer
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer
Javier Ferrando
Gerard I. Gállego
Belen Alastruey
Carlos Escolano
Marta R. Costa-jussá
35
44
0
23 May 2022
Accurate Online Posterior Alignments for Principled
  Lexically-Constrained Decoding
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding
Soumya Chatterjee
Sunita Sarawagi
Preethi Jyothi
36
1
0
02 Apr 2022
BERT Cannot Align Characters
BERT Cannot Align Characters
Antonis Maronikolakis
Philipp Dufter
Hinrich Schütze
25
0
0
20 Sep 2021
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via
  Cross-Lingual Contrastive Learning
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
Di Wu
Liang Ding
Shuo Yang
Mingyang Li
45
7
0
08 Feb 2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Zi-Yi Dou
Graham Neubig
100
258
0
20 Jan 2021
Bilingual Lexicon Induction via Unsupervised Bitext Construction and
  Word Alignment
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment
Freda Shi
Luke Zettlemoyer
Sida I. Wang
SSL
37
33
0
01 Jan 2021
Accurate Word Alignment Induction from Neural Machine Translation
Accurate Word Alignment Induction from Neural Machine Translation
Yun-Nung Chen
Yang Liu
Guanhua Chen
Xin Jiang
Qun Liu
39
60
0
30 Apr 2020
SimAlign: High Quality Word Alignments without Parallel Training Data
  using Static and Contextualized Embeddings
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
Masoud Jalili Sabet
Philipp Dufter
François Yvon
Hinrich Schütze
23
228
0
18 Apr 2020
Machine Translation with Unsupervised Length-Constraints
Machine Translation with Unsupervised Length-Constraints
Jan Niehues
3DV
29
13
0
07 Apr 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
33
313
0
04 Dec 2019
Novel Applications of Factored Neural Machine Translation
Novel Applications of Factored Neural Machine Translation
P. Wilken
E. Matusov
AAML
14
13
0
09 Oct 2019
On Identifiability in Transformers
On Identifiability in Transformers
Gino Brunner
Yang Liu
Damian Pascual
Oliver Richter
Massimiliano Ciaramita
Roger Wattenhofer
ViT
30
187
0
12 Aug 2019
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery
  in Low-resource Settings
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
Marcely Zanon Boito
Aline Villavicencio
Laurent Besacier
17
8
0
29 Jun 2019
Saliency-driven Word Alignment Interpretation for Neural Machine
  Translation
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
Shuoyang Ding
Hainan Xu
Philipp Koehn
33
55
0
25 Jun 2019
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