WMT 2015 French/English parallel texts
Callison-Burch et al., 2009

giga-fren.tgz2.60GB
Type: Dataset
Tags: fastai

Bibtex:
@article{,
title= {WMT 2015 French/English parallel texts},
keywords= {fastai},
journal= {},
author= {Callison-Burch et al., 2009},
year= {},
url= {https://www.cis.upenn.edu/~ccb/publications/findings-of-the-wmt09-shared-tasks.pdf},
license= {},
abstract= {French/English parallel texts for training translation models. Over 20 million sentences in French and English. Dataset created by Chris Callison-Burch, who crawled millions of web pages and then used a set of simple heuristics to transform French URLs onto English URLs, and assumed that these documents are translations of each other.},
superseded= {},
terms= {}
}

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Best Speed 99.19kB/s
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Worst Speed 99.19kB/s
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