QuEst – Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation
作者： Kashif Shah , Eleftherios Avramidis , Ergun Biçici , Lucia Specia
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摘要: In t his paper we present QE, an open source framework for machine translation quality estimation. The includes a feature extraction component and learning component. We describe the architecture of system its use, focusing on how to add new extractors. also include experiments with features algorithms available in using dataset WMT13 Quality Estimation shared task.
core.ac.uk
sci-hub.se 参考文章(10)
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