Abstract
Natural languages have very complicated structures but are highly redundant. Statistical studies of a language are extremely important in numerous fields of knowledge, including Education, Linguistics, Computers and Communications.The aim of this paper is to study the word statistics of the Arabic Language with the intention of estimating the information content of Arabic based on word entropy. Actual statistics of frequencies of Arabic based on a 700,000-word sample will be used to demonstrate the applicability of Zipf s Law to the Arabic Language. Word and letter entropy and redundancy of Arabic are then deduced and compared with corresponding values of English.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of King Saud University - Computer and Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
