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Behavior Research Methods
Article . 2010 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Aralex: A lexical database for Modern Standard Arabic

Authors: Sami, Boudelaa; William D, Marslen-Wilson;

Aralex: A lexical database for Modern Standard Arabic

Abstract

In this article, we present a new lexical database for Modern Standard Arabic: Aralex. Based on a contemporary text corpus of 40 million words, Aralex provides information about (1) the token frequencies of roots and word patterns, (2) the type frequency, or family size, of roots and word patterns, and (3) the frequency of bigrams, trigrams in orthographic forms, roots, and word patterns. Aralex will be a useful tool for studying the cognitive processing of Arabic through the selection of stimuli on the basis of precise frequency counts. Researchers can use it as a source of information on natural language processing, and it may serve an educational purpose by providing basic vocabulary lists. Aralex is distributed under a GNU-like license, allowing people to interrogate it freely online or to download it from www.mrc-cbu.cam.ac.uk:8081/aralex.online/login.jsp.

Related Organizations
Keywords

Internet, Psycholinguistics, Databases, Factual, Humans, Vocabulary, Software, Arabs, Language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 1%
Top 10%
Top 10%
bronze