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Language Modeling, Lexical Translation, Reordering: The Training Process
  of NMT through the Lens of Classical SMT

Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT

3 September 2021
Elena Voita
Rico Sennrich
Ivan Titov
ArXivPDFHTML

Papers citing "Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT"

10 / 10 papers shown
Title
A kinetic-based regularization method for data science applications
Abhisek Ganguly
Alessandro Gabbana
Vybhav Rao
Sauro Succi
Santosh Ansumali
52
0
0
06 Mar 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
Michael Pichat
William Pogrund
Armanush Gasparian
Paloma Pichat
Samuel Demarchi
Michael Veillet-Guillem
59
3
0
26 Dec 2024
Representations as Language: An Information-Theoretic Framework for
  Interpretability
Representations as Language: An Information-Theoretic Framework for Interpretability
Henry Conklin
Kenny Smith
MILM
42
1
0
04 Jun 2024
What Have We Achieved on Non-autoregressive Translation?
What Have We Achieved on Non-autoregressive Translation?
Yafu Li
Huajian Zhang
Jianhao Yan
Yongjing Yin
Yue Zhang
33
1
0
21 May 2024
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Anna Langedijk
Hosein Mohebbi
Gabriele Sarti
Willem H. Zuidema
Jaap Jumelet
32
10
0
05 Oct 2023
Learning a Formality-Aware Japanese Sentence Representation
Learning a Formality-Aware Japanese Sentence Representation
Henry Li Xinyuan
Ray Lee
Jerry Chen
Kelly Marchisio
CVBM
AI4TS
21
0
0
17 Jan 2023
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
30
44
0
23 May 2022
Improving Neural Machine Translation by Denoising Training
Improving Neural Machine Translation by Denoising Training
Liang Ding
Keqin Peng
Dacheng Tao
VLM
AI4CE
41
6
0
19 Jan 2022
Can Multilinguality benefit Non-autoregressive Machine Translation?
Can Multilinguality benefit Non-autoregressive Machine Translation?
Sweta Agrawal
Julia Kreutzer
Colin Cherry
AI4CE
29
1
0
16 Dec 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
1