Fetching the paper…
Reading the bibliography…
Multilingual Neural Machine Translation (MNMT) facilitates knowledge sharing but often suffers from poor zero-shot (ZS) translation qualities.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2019a · 1903
Earlier work this paper cites.
Massively multilingual neural machine translation in the wild: Findings and challenges
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, et al. 2019b · 1907
Earlier work this paper cites.
Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
Earlier work this paper cites.
The cambridge dictionary of statistics
Brian S Everitt and Anders Skrondal. 2010 · 2010
Earlier work this paper cites.
Multiun v2: Un documents with multilingual alignments
Yu Chen and Andreas Eisele. 2012 · 2012
Earlier work this paper cites.
Parallel data, tools and interfaces in opus
Jörg Tiedemann. 2012 · 2012
Earlier work this paper cites.
WALS Online (v2020.3)
Matthew S. Dryer and Martin Haspelmath, editors. 2013 · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Fasttext. zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016 · 2016
Earlier work this paper cites.
Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al. 2017 · 2017
Earlier work this paper cites.
chrf++: words helping character n-grams
Maja Popović. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
Earlier work this paper cites.
A call for clarity in reporting bleu scores
Matt Post. 2018 · 2018
Earlier work this paper cites.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Earlier work this paper cites.
Improved zero-shot neural machine translation via ignoring spurious correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho, and Victor OK Li. 2019 · 2019
Earlier work this paper cites.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Cited alongside, same era.
How multilingual is multilingual bert?
Telmo Pires, Eva Schlinger, and Dan Garrette. 2019 · 2019
Cited alongside, same era.
Zero-shot dependency parsing with pre-trained multilingual sentence representations
Ke Tran and Arianna Bisazza. 2019 · 2019
Cited alongside, same era.
Target conditioned sampling: Optimizing data selection for multilingual neural machine translation
Xinyi Wang and Graham Neubig. 2019 · 2019
Cited alongside, same era.
On romanization for model transfer between scripts in neural machine translation
Chantal Amrhein and Rico Sennrich. 2020 · 2020
Cited alongside, same era.
Language model prior for low-resource neural machine translation
Rethinking zero-shot neural machine translation: From a perspective of latent variables
Weizhi Wang, Zhirui Zhang, Yichao Du, Boxing Chen, Jun Xie, and Weihua Luo. 2021 · 2021
Later among the works it cites.
Language tags matter for zero-shot neural machine translation
Liwei Wu, Shanbo Cheng, Mingxuan Wang, and Lei Li. 2021 · 2021
Later among the works it cites.
Improving multilingual translation by representation and gradient regularization
Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, and Hany Hassan. 2021 · 2021
Later among the works it cites.
Towards making the most of cross-lingual transfer for zero-shot neural machine translation
Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, and Furu Wei. 2022 · 2022
Later among the works it cites.
No language left behind: Scaling human-centered machine translation
Marta R Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, et al. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Christos Baziotis, Barry Haddow, and Alexandra Birch. 2020 · 2020
Cited alongside, same era.
Cross-lingual pre-training based transfer for zero-shot neural machine translation
Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, and Weihua Luo. 2020 · 2020
Cited alongside, same era.
From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers
Anne Lauscher, Vinit Ravishankar, Ivan Vulić, and Goran Glavaš. 2020 · 2020
Cited alongside, same era.
Pre-training multilingual neural machine translation by leveraging alignment information
Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, and Lei Li. 2020 · 2020
Cited alongside, same era.
Multilingual denoising pre-training for neural machine translation
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Comet: A neural framework for mt evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
Cited alongside, same era.
Improving massively multilingual neural machine translation and zero-shot translation
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Ntrex-128–news test references for mt evaluation of 128 languages
Christian Federmann, Tom Kocmi, and Ying Xin. 2022 · 2022
Later among the works it cites.
The flores-101 evaluation benchmark for low-resource and multilingual machine translation
Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc’Aurelio Ranzato, Francisco Guzmán, and Angela Fan. 2022 · 2022
Later among the works it cites.
Improving zero-shot multilingual translation with universal representations and cross-mapping
Shuhao Gu and Yang Feng. 2022 · 2022
Later among the works it cites.
Pre-trained multilingual sequence-to-sequence models: A hope for low-resource language translation?
En-Shiun Lee, Sarubi Thillainathan, Shravan Nayak, Surangika Ranathunga, David Adelani, Ruisi Su, and Arya D McCarthy. 2022 · 2022
Later among the works it cites.
Adapting to non-centered languages for zero-shot multilingual translation
Zhi Qu and Taro Watanabe. 2022 · 2022
Later among the works it cites.
Comet-22: Unbabel-ist 2022 submission for the metrics shared task
Ricardo Rei, José GC De Souza, Duarte Alves, Chrysoula Zerva, Ana C Farinha, Taisiya Glushkova, Alon Lavie, Luisa Coheur, and André FT Martins. 2022 · 2022
Later among the works it cites.
Alternative input signals ease transfer in multilingual machine translation
Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, and Francisco Guzmán. 2022 · 2022
Later among the works it cites.
Kaushal Kumar Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, and Anoop Kunchukuttan. 2023 · 2023
Closest in time.
Fred Philippy, Siwen Guo, and Shohreh Haddadan. 2023 · 2023
Closest in time.
Viewing knowledge transfer in multilingual machine translation through a representational lens
David Stap, Vlad Niculae, and Christof Monz. 2023 · 2023
Closest in time.
Di Wu and Christof Monz. 2023 · 2023
Closest in time.