An arabic language-processing computer program for building verb formats using a new method that incorporates pronunciation

Abstract

In the information retrieval process of linguistic and other Arabic language processing, when using dictation writing, ignoring diacritical marks and punctuation, results become inaccurate specially in research and classification processes, for this reason it became necessary to find an alternative process which can deal with punctuation and diacritic marks words based on Pronunciation. Our program aims to produce Arabic verb derivatives without the adoption of previous traditional grammars; here, we use a new method based on the way we pronounce and write. This study suggests a developmental program for Arabic phonetic transcription rather than dictation writing. The program will accept Arabic script with diacritical marks, offering a modern way of avoiding errors when dealing with Arabic texts. The interred root will be converted into separate letters based on the pronunciation of the word and diacritical marks, then the program will select one of fourteen existing formulas in the Arabic language. It will then select the desired verb type among five reaction types. If the user has not selected a specific formula or a certain type, the program will extract sixty-two derivatives of the input. The main findings, we get as a result of suggesting our program was producing sixty-two derivatives of each verb root, that could be used in many ways for Arabic language processing and information retrieval by mapping each root in the Arabic language with its derivatives that will make it easy to retrieve a root when the text contains any of these derivatives. This will make Arabic information retrieval and language processing more accurate and easier. In addition, the program can be used to facilitate many tasks related to linguistic processes, such as Arabic text classification, learning, and teaching and other processes.