Arabic Cross-Language Information Retrieval

Abstract

Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one language using queries expressed in another language. As CLIR tools rely on translation techniques, they are challenged by the properties of highly derivational and flexional languages like Arabic. Much work has been done on CLIR for different languages including Arabic. In this article, we introduce the reader to the motivations for solving some problems related to Arabic CLIR approaches. The evaluation of these approaches is discussed starting from the 2001 and 2002 TREC Arabic CLIR tracks, which aim to objectively evaluate CLIR systems. We also study many other research works to highlight the unresolved problems or those that require further investigation. These works are discussed in the light of a deep study of the specificities and the tasks of Arabic information retrieval (IR). Particular attention is given to translation techniques and CLIR resources, which are key issues challenging Arabic CLIR. To push research in this field, we discuss how a new standard collection can improve Arabic IR and CLIR tracks.

A hybrid possibilistic approach for Arabic full morphological disambiguation

“…modern corpora. Finally, we will evaluate our tool in a practical context, by performing query and document disambiguation in an information retrieval application [67], which uses vocalized and non-vocalized texts.…”

“…The combination of the necessity and possibility measures is inspired from the possibilistic Information Retrieval and Knowledge Extraction Systems [32,[37][38][39][40][62][63][64][65]67]. …”

Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts

“…Although the trend of reading digitized online versions of the Quran is increasing, the issue of credibility and authenticity is drawing more and more public attention [ 1 – 3 ]. Since the Quran is a sensitive script, its authentication and integrity are of greatest concern [ 1 , 4 – 6 ]. The Quran is written in Arabic language and in different styles such as plain text (mostly used in countries like India, Pakistan and Bangladesh), Uthmanic, Kufi, Kaloon and other such styles [ 7 – 8 ].…”

Partition-Based Pattern Matching Approach for Efficient Retrieval of Arabic Text

“…Searching through pattern matching constitutes a widely-used technique including information retrieval for several applications such as Deoxyribonucleic Acid (DNS) sequence searching, image processing, medical image searching, etc [1][2][3][4]. In most applications, pattern matching is developed to search an English text in the database, yet hardly an Arabic text.…”

“…Elaborate Arabic script patterns are complex to search and retrieve compared to ASCII-based texts [2][3][4]. Searching and retrieving diacritical (vowelized) Arabic patterns are more complex than simple Arabic pattern [4].…”