Morphological analysis for rule based machine translation

Arwa Hatem, Nazlia Omar, Khalid Shaker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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 language into the sequence of prefix (es)-stem-suffix (es). The system identifies morphemes to be merged or deleted in the morphologically rich language to make the desired morphological and syntactic symmetry. The technique applied aims to improve Arabic-to-English translation quality.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages260-263
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

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Syntactics

Keywords

  • Arabic Affixes
  • Arabic morphological
  • Transfer Rule-based

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Hatem, A., Omar, N., & Shaker, K. (2011). Morphological analysis for rule based machine translation. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 260-263). [5995799] https://doi.org/10.1109/STAIR.2011.5995799

Morphological analysis for rule based machine translation. / Hatem, Arwa; Omar, Nazlia; Shaker, Khalid.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 260-263 5995799.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hatem, A, Omar, N & Shaker, K 2011, Morphological analysis for rule based machine translation. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995799, pp. 260-263, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995799
Hatem A, Omar N, Shaker K. Morphological analysis for rule based machine translation. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 260-263. 5995799 https://doi.org/10.1109/STAIR.2011.5995799
Hatem, Arwa ; Omar, Nazlia ; Shaker, Khalid. / Morphological analysis for rule based machine translation. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 260-263
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