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Enhancing Translation from English to Arabic Using Two-Phase Decoder Translation

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 868))

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Abstract

This paper describes an approach to enhance statistical machine translation. This approach uses a two-phase decoder system; the first decoder which we call the initial decoder translates from English to Arabic and the second is a post-processing decoder that re-translates the initial’s decoder Arabic output to Arabic again to fix some of the translation errors. This new technique showed to be useful when trying to translate corpus from a different context other than the original corpus used in the training of the initial decoder. We recorded a BLEU score enhancement on out-of-context corpus close to 10 BLEU points on UN corpus and 2 BLEU points on TED 2013 corpus.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, School of Sciences and Engineering, The American University of Cairo, Cairo, Egypt

    Ayah ElMaghraby & Ahmed Rafea

Authors
  1. Ayah ElMaghraby
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  2. Ahmed Rafea
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Corresponding author

Correspondence to Ayah ElMaghraby .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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ElMaghraby, A., Rafea, A. (2019). Enhancing Translation from English to Arabic Using Two-Phase Decoder Translation. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_39

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