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Information Retrieval

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Natural Language Processing of Semitic Languages

Abstract

In the past several years, some aspects of Semitic language, primarily Arabic, Information Retrieval (IR) have garnered a significant amount of attention. The main research interests have focused on retrieval of formal language, mostly in the news domain, with ad hoc retrieval, OCR document retrieval, and cross-language retrieval. The literature on other aspects of retrieval continues to be sparse or non-existent, though some of these aspects have been investigated by industry. The two main aspects where literature is lacking are web search and social search. The survey will cover two main areas: 1) a significant part of the literature pertaining to language-specific issues that affect retrieval; and 2) specialized retrieval problems, namely document image retrieval, cross-language search, web search, and social search.

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Notes

  1. 1.

    http://www.clef-initiative.eu

  2. 2.

    http://research.nii.ac.jp/ntcir/index-en.html

  3. 3.

    http://www.isical.ac.in/~fire/

  4. 4.

    Buckwalter encoding is used to Romanize Arabic text in this chapter.

  5. 5.

    http://en.wikipedia.org/wiki/Varieties_of_Arabic

  6. 6.

    This is based on communication with people working on different web search engines.

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    Kareem Darwish

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    Imed Zitouni

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Darwish, K. (2014). Information Retrieval. In: Zitouni, I. (eds) Natural Language Processing of Semitic Languages. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45358-8_10

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