Milimili. Collecting Parallel Data via Crowdsourcing

This addresses the need for affordable parallel data collection for low-resource languages, but it is incremental as it builds on existing crowdsourcing approaches.

The paper tackles the problem of collecting parallel corpora by proposing a crowdsourcing methodology that is more cost-effective than professional translation, though it sacrifices quality, and provides experimental data for Chechen-Russian and Fula-English language pairs.