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Translating to and from low-resource languages is a challenge for machine translation (MT) systems due to a lack of parallel data.
The complexity of the vocabulary of bambara
Christopher Culy. 1985 · 1985
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Mt-based sentence alignment for ocr-generated parallel texts
Rico Sennrich and Martin Volk. 2010 · 2010
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Ethnologue: Languages of Africa and Europe
M Paul Lewis, Gary F Simons, and Charles D Fennig. 2014 · 2014
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chrf: character n-gram f-score for automatic mt evaluation
Maja Popović. 2015 · 2015
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Towards a dependency-annotated treebank for bambara
Ekaterina Aplonova and Francis Tyers. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Development of a bambara treebank
Ekaterina Aplonova. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Findings of the 2019 conference on machine translation (wmt19)
Loïc Barrault, Ondřej Bojar, Marta R Costa-Jussa, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, et al. 2019 · 2019
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Joey NMT: A minimalist NMT toolkit for novices
Julia Kreutzer, Jasmijn Bastings, and Stefan Riezler. 2019 · 2019
Bpe-dropout: Simple and effective subword regularization
Ivan Provilkov, Dmitrii Emelianenko, and Elena Voita. 2019 · 2019
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Findings of the 2020 conference on machine translation (wmt20)
Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, Marta R Costa-jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, et al. 2020 · 2020
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On optimal transformer depth for low-resource language translation
Elan van Biljon, Arnu Pretorius, and Julia Kreutzer. 2020 · 2020
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Masakhane – machine translation for africa
∀ \forall , Iroro Orife, Julia Kreutzer, Blessing Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Abbott, Vukosi Marivate, Salomon Kabongo, Musie Meressa, Espoir Murhabazi, Orevaoghene Ahia, Elan van Biljon, Arshath Ramkilowan, Adewale Akinfaderin, Alp Öktem, Wole Akin, Ghollah Kioko, Kevin Degila, Herman Kamper, Bonaventure Dossou, Chris Emezue, Kelechi Ogueji, and Abdallah Bashir. 2020 · 2020
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Assessing human translations from french to bambara for machine learning: a pilot study
Michael Leventhal, Allahsera Tapo, Sarah Luger, Marcos Zampieri, and Christopher M. Homan. 2020 · 2020
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Towards a crowdsourcing platform for low resource languages–a semi-supervised approach
Sarah Luger, Allashera Auguste Tapo, Christopher M Homan, Marcos Zampieri, and Michael Leventhal. 2020 · 2020
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Neural machine translation for extremely low-resource African languages: A case study on Bambara
Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, and Michael Leventhal. 2020 · 2020
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