Guillaume Wenzek
4 papers in the PaperMetrix corpus
Papers by this author
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Unsupervised Cross-lingual Representation Learning at Scale
2020
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
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Beyond English-Centric Multilingual Machine Translation
2020 · arXiv (Cornell University)
Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate between any pair of languages. However, much of this work is English-Centric by training only …
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The <scp>Flores-101</scp> Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
2022 · Transactions of the Association for Computational Linguistics
Abstract One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, …
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No Language Left Behind: Scaling Human-Centered Machine Translation
2022 · arXiv (Cornell University)
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However, such efforts have coalesced around a small subset …