Learn More
Crowdsourcing is a viable mechanism for creating training data for machine translation. It provides a low cost, fast turnaround way of processing large volumes of data. However, when compared to professional translation, naive collection of translations from non-professionals yields low-quality results. Careful quality control is necessary for crowdsourcing(More)
Crowdsourcing makes it possible to create translations at much lower cost than hiring professional translators. However, it is still expensive to obtain the millions of translations that are needed to train statistical machine translation systems. We propose two mechanisms to reduce the cost of crowdsourc-ing while maintaining high translation quality.(More)
  • 1