Evaluation of Machine Translation Quality through the Metrics of Error Rate and Accuracy

Munkova, Dasa; Hájek, Petr; Munk, Michal; Skalka, Jan

Digitální knihovna UPCE
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Univerzita Pardubice
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Evaluation of Machine Translation Quality through the Metrics of Error Rate and Accuracy

Munkova, Dasa; Hájek, Petr; Munk, Michal; Skalka, Jan

10.1016/j.procs.2020.04.142

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URI: https://hdl.handle.net/10195/77402

Datum publikování: 2020

Typ dokumentu: ConferenceObject

ISSN: 1877-0509

Zdrojový dokument: Procedia Computer Science : Third International Conference on Computing and Network Communications (CoCoNet'19)

Vydavatelská verze: https://www.sciencedirect.com/science/article/pii/S1877050920311212

Název akce Third International Conference on Computing and Network Communications (CoCoNet'19) (18.12.2019 - 21.12.2019, Trivadrum)

Abstrakt:

The aim of the paper is to find out whether it is necessary to use all automatic measures of error rate and accuracy when evaluating the quality of machine translation output from the synthetic Slovak language into the analytical English language. We used multiple comparisons for the analysis and visualized the results for each sentence through the icon graphs. Based on the results, we can state that all examined metrics, which are based on textual similarity, except the f-measure, are needed to be included in the MT quality evaluation when analyzing, sentence by sentence, the machine translation output.

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