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<p>This article presents SUBTLEX-AR, a digital database providing an extensive collection of attributes related to Modern Standard Arabic words (Arabic for short). SUBTLEX-AR combines a novel dataset of 120 million word tokens from movie subtitles with 40 million tokens from newspaper articles originally collected in ARALEX (Boudelaa &amp; Marslen-Wilson, <i>Behavior Research Methods,</i> <i>42</i>, 481–487, <CitationRef CitationID="CR14">2010</CitationRef>), ensuring comprehensive coverage. SUBTLEX-AR provides information about the statistical properties of Arabic words at the orthographic, phonological, morphological, and semantic levels. The database also includes information on sub-word structure properties like bigram and trigram frequencies, as well as lemmas and part-of-speech information along with their corresponding frequencies. The online interface of SUBTLEX-AR allows users either to upload a set of words to receive their properties or to receive a set of words matching constraints on predefined properties. The properties themselves are easily extensible and will be expanded over time. SUBTLEX-AR is freely accessible here: <a href="https://subtlexar.uaeu.ac.ae/">https://subtlexar.uaeu.ac.ae/</a></p>

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SUBTLEX-AR: Arabic word distributional characteristics based on movie subtitles

  • 期刊论文

  • 发表日期：

    2025年2月26日

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  • Sami Boudelaa,
  • Manuel Carreiras,
  • Nazrin Jariya,
  • Manuel Perea

摘要

This article presents SUBTLEX-AR, a digital database providing an extensive collection of attributes related to Modern Standard Arabic words (Arabic for short). SUBTLEX-AR combines a novel dataset of 120 million word tokens from movie subtitles with 40 million tokens from newspaper articles originally collected in ARALEX (Boudelaa & Marslen-Wilson, Behavior Research Methods, 42, 481–487, 2010), ensuring comprehensive coverage. SUBTLEX-AR provides information about the statistical properties of Arabic words at the orthographic, phonological, morphological, and semantic levels. The database also includes information on sub-word structure properties like bigram and trigram frequencies, as well as lemmas and part-of-speech information along with their corresponding frequencies. The online interface of SUBTLEX-AR allows users either to upload a set of words to receive their properties or to receive a set of words matching constraints on predefined properties. The properties themselves are easily extensible and will be expanded over time. SUBTLEX-AR is freely accessible here: https://subtlexar.uaeu.ac.ae/