Translations have been generated by the CrowdFlower3 channel to Amazon Mechanical Turk4 ( MTurk ) , adopting the methodology proposed by ( Negri and Mehdad , 2010 ) .
creating a bilingual entailment corpus through translations with mechanical turk 100 for a 10day rush
Matteo Negri Yashar Mehdad
It consists of 1600 pairs derived from the RTE3 development and test sets ( 800 +800 ) . Translations have been generated by the CrowdFlower3 channel to Amazon Mechanical Turk4 ( MTurk ) , adopting the methodology proposed by ( Negri and Mehdad , 2010 ) . The method relies on translation-validation cycles , defined as separate jobs routed to MTurk 's workforce .
Translations have been generated by the CrowdFlower3 channel to Amazon Mechanical Turk4 ( MTurk ) , adopting the methodology proposed by ( @@CITATION ) .