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Evaluating machine translation quality using Toloka
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Data-Driven AI Meetup 1: Evaluating machine translation quality using Toloka
Mariya Shmatova, Lead Data Analyst, Toloka
The quality of Machine Translation (MT) is continuously improving to the point of it beginning to rival human translation. For this reason, software designers need to use reliable metrics based on human judgements alongside automated methods. In this talk, Masha shows how her team uses Toloka and the power of crowdsourcing to obtain these judgments and gain valuable insights on MT.
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Mariya Shmatova, Lead Data Analyst, Toloka
The quality of Machine Translation (MT) is continuously improving to the point of it beginning to rival human translation. For this reason, software designers need to use reliable metrics based on human judgements alongside automated methods. In this talk, Masha shows how her team uses Toloka and the power of crowdsourcing to obtain these judgments and gain valuable insights on MT.
Get in touch with us
Follow us in social networks to make sure you won't miss any updates.
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