Sentence-level quality estimation by predicting HTER as a multi-component metric

WS 2017 Eleftherios Avramidis

This submission investigates alternative machine learning models for predicting the HTER score on the sentence level. Instead of directly predicting the HTER score, we suggest a model that jointly predicts the amount of the 4 distinct post-editing operations, which are then used to calculate the HTER score... (read more)

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