Milimili. Collecting Parallel Data via Crowdsourcing

Antonov, Alexander

arXiv.org Artificial Intelligence 

We present a methodology for gathering a parallel corpus through crowdsourcing, which is more cost-effective than hiring professional translators, albeit at the expense of quality. Additionally, we have made available experimental parallel data collected for Chechen-Russian and Fula-English language pairs.

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