Milimili. Collecting Parallel Data via Crowdsourcing
arXiv:2307.12282
Abstract
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.