Researchers at the University of Groningen found that using training data from multiple source languages improved the accuracy of both monolingual and multilingual classifiers.
Group of leading researchers finds that the way machine translation quality is evaluated by humans is broken. Group issues five recommendations on how to fix it.
Post-editing machine translation versus unaided human translation from scratch — new research reveals how the output differs.
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