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An Investigation on the Effectiveness of Features for Translation Quality Estimation
Investigation Effectiveness Features Translation Quality Estimation
2013/3/20
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2013/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Reducing Annotation Effort for Quality Estimation via Active Learning
Reducing Annotation Effort Quality Estimation via Active Learning
2013/3/20
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
QuEst - A translation quality estimation framework
QuEst - A translation quality estimation framework
2013/3/20
We describe QUEST, an open source framework for machine translation quality estimation. The framework allows the extraction of several quality indicators from source segments, their translations, exte...