Morphological analysis for rule based machine translation

  title={Morphological analysis for rule based machine translation},
  author={Arwa Hatem and Nazlia Omar and Khalid Shaker},
  journal={2011 International Conference on Semantic Technology and Information Retrieval},
The Arabic language is a Semitic language and it exhibits systematic but complex morphological structure based on root-pattern design. The aim of the present paper is to propose a transfer-based approach using morphological analysis which induces a syntactic symmetry and morphology to improve machine translation system between Arabic and English. Both languages are highly asymmetrical in terms of morphological structures. Our system supposes segmentation the word in the morphologically rich… CONTINUE READING

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