Abstract

The computational phonology is fairly a new science that deals with studying phonological rules under the computation point of view. Computational phonology is based on the phonological rules, which are the processes that are applied to phonemes to produce another phoneme under specific phonetic environment. A type of these phonological processes is the assimilation process, which its rules reform the involved phonemes regarding the place of articulation, the manner of articulation, and/or voicing. Thus, assimilation is considered as a consequence of phonological coarticulation. Arabic, like other natural languages, has systematic phonemes’ changing rules. This paper aims to automate the assimilation rules of the Arabic language. Among several computational approaches that are used for automating phonological rules, this paper uses Artificial Neural Network (ANN) approach, and thus, contributes the using of ANN as a computational approach for automating the assimilation rules in the Arabic language. The designed ANN-based system of this paper has been defined and implemented by using MATLAB software, in which the results show the success of this approach and deliver an experience for later similar work.

Highlights

  • Phonology is a branch of linguistics that studies the patterns’ descriptions of speech sounds and the sound alternations in a language

  • A phonological representation is defined as the intellectual symbolizing of sounds and sounds’ combinations that embrace words in a certain spoken language we have in our minds [3]

  • This paper is divided into the following main sections: The Arabic Language section, Computational Phonology section, section of Related Works and Approaches, the Suggested Approach section, Results section, Discussion section, and the Conclusions and Findings section

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Summary

INTRODUCTION

Phonology is a branch of linguistics that studies the patterns’ descriptions of speech sounds and the sound alternations in a language. The physiological and physical features of sounds or speech are studied via a branch of phonology called Phonetics, which is divided into [4]: Articulatory Phonetics: depending on the production organs, each phoneme has it unique features that give the phoneme its distinctiveness among other phonemes. Acoustic Phonetics (the sound wave): concerns with discovering the physical properties of waveform like the mean squared amplitude, duration, fundamental frequency, and frequency spectrum It studies the relationship between these properties and the abstract linguistic concepts: phones, phrases, or utterances. Following classifications of phonological rules come from the five phonological alternation forms, which are [19]: Assimilation: Change phoneme to allophone to make two adjust phonemes harmonic in their feature (elision). This paper is divided into the following main sections: The Arabic Language section (to describe its phonemes, phonemes alternation, and assimilation), Computational Phonology section (to describe computational models used in this field), section of Related Works and Approaches (to get benefit of previous work and experience, which is guiding the selection of a suggested approach), the Suggested Approach section (to handle the problem of computation of Arabic assimilation process), Results section (to make verification and validation of the proposed approach), Discussion section, and the Conclusions and Findings section (to discuss the suggested approach and its results)

ARABIC LANGUAGE
RELATED WORKS AND APPROACHES
SUGGESTED APPROACH
RESULTS
AND FINDINGS
DISCUSSION
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