The Arabic Lexicon Project: Lexical decision data for 10,000 Modern Standard Arabic words

Area of Science:

• Psycholinguistics
• Computational Linguistics
• Cognitive Science

Background:

• Large-scale lexical decision data has revolutionized psycholinguistics, enabling virtual experiments beyond traditional designs.
• Modern Standard Arabic (MSA) previously lacked such a comprehensive lexical resource for research.

Purpose of the Study:

• To develop and validate a lexical decision database for MSA.
• To demonstrate the database's utility in understanding visual word recognition in MSA.
• To make the database freely available for future research.

Main Methods:

• Collected reaction time and accuracy data using a visual lexical decision task.
• Utilized 10,000 MSA words and 10,000 nonwords from 604 L1 speakers and a subset from 43 L2 speakers.
• Validated the database by replicating known effects in visual word recognition.

Main Results:

• The database demonstrated good reliability and validity, replicating established effects like lexicality, word length, frequency, and neighborhood size.
• Identified significant MSA-specific predictors (perceptual complexity, clitics, diglossic distance) influencing L1 and L2 visual word recognition.
• The database largely replicates well-documented effects in visual word recognition, establishing its validity.

Conclusions:

• The created MSA lexical decision database is a valuable resource for psycholinguistic research.
• The database facilitates the investigation of factors influencing MSA visual word recognition.
• This resource supports further exploration of Arabic psycholinguistics and cognitive science.