Incorporation of Linguistic Features in Machine Translation Evaluation of Arabic

This paper describes a study on the contribution of some basic linguistic features to the task of machine translation evaluation of Arabic as a target language. AL-TERp is used as a metric dedicated and tuned especially for Arabic. Performed experiments on a medium sized corpora show that linguistic...

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Published inBig Data, Cloud and Applications pp. 500 - 511
Main Authors El Marouani, Mohamed, Boudaa, Tarik, Enneya, Nourddine
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesCommunications in Computer and Information Science
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Summary:This paper describes a study on the contribution of some basic linguistic features to the task of machine translation evaluation of Arabic as a target language. AL-TERp is used as a metric dedicated and tuned especially for Arabic. Performed experiments on a medium sized corpora show that linguistic knowledge improves the correlation of metric results with human assessments. Also a detailed qualitative analysis of the results highlights a number of resolved issues related to the use of linguistic features.
ISBN:3319962914
9783319962917
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-319-96292-4_39