Milimili. Collecting Parallel Data via Crowdsourcing
Alexander Antonov
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.