Confusion matrix in Quality Estimation #254
Replies: 6 comments
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Negatives (in terms of QE classification) are segments/words/tokens classified as incorrect.
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An example: The kids fell asleep .
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Thanks! At ModelFront, we've been doing the opposite! |
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@bittlingmayer Can this issue be closed? |
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I think this is better fitted to be stored under Discussions instead of closing an issue? I may be wrong, I'm still new to GitHub! 🙃 |
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In Outbound Translation User Interface Ptakopět: A Pilot Study, it mentions false positives.
Is a "positive" a good translation or a bad translation (like testing positive for a disease in a medical context)?
@zouharvi I assume your setup is in harmony with that in Lucia Specia's book on QE.
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