Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text

  • Authors:

  • Tarek Elghazaly;Aly Fahmy

  • Affiliations:

  • Faculty of Computers and Information, Cairo University, Giza, Egypt;Faculty of Computers and Information, Cairo University, Giza, Egypt

  • Venue:
  • CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2009

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Abstract

This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expected OCR-Errors that are generated from the Arabic OCR-Errors simulation model which proposed inside the paper. The query translation and expansion model has been supported by different libraries proposed in the paper like a Word Collocations Dictionary, Single Words Dictionaries, a Modern Arabic corpus, and other tools. The model gives high accuracy in translating the Queries from English to Arabic solving the translation and transliteration ambiguities and with orthographic query expansion; it gives high degree of accuracy in handling OCR errors.