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The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
Francisco Guzmán
|
Peng-Jen Chen
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Myle Ott
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Juan Pino
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Guillaume Lample
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Philipp Koehn
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Vishrav Chaudhary
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Marc’Aurelio Ranzato
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Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
SIG: SIGDAT
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https://github
https://paracrawl.eu/
https://www.ethnologue.com/language/npi
https://www.ethnologue.com/language/sin
https://en.wikipedia.org/wiki/Academy_Award_
http://opus.nlpl.eu/
http://casmacat.eu/corpus/global-voices
https://github.com/christos-c/
https://paracrawl.eu/
http://www.cfilt.iitb.ac.in/iitb_parallel/
https://github.com/facebookresearch/flores
https://github.com/anoopkunchukuttan/
https://github.com/google/sentencepiece
Field Of Study
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Machine Translation
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Unsupervised Learning
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Low-Resource Languages
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