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- W2772224652 abstract "This research compares two approaches to statistical machine translation - pure phrasebasedand factored phrase-based - by performing a fine-grained manual evaluation via errorannotation of the systems’ outputs, and subsequently analysing the results. The errortypes considered in the annotation are compliant with the multidimensional quality metrics(MQM), and the annotation is performed by two annotators. Inter-annotator agreement isrelatively high for such a task, and the results show that the factored system, i.e. hybrid system,performs much better, reducing the amount of errors produced by the pure phrase-basedsystem by 20%." @default.
- W2772224652 created "2017-12-22" @default.
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- W2772224652 date "2017-01-01" @default.
- W2772224652 modified "2023-10-17" @default.
- W2772224652 title "Fine-grained human evaluation of an English to Croatian hybrid machine translation system" @default.
- W2772224652 hasPublicationYear "2017" @default.
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