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A Novel Approach to the Phonetic Representativeness of Writing Systems: Phonetic Correspondence Efficiency (PCE)TOHMA, K.   , OKUR, H. I. |
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Author keywords
natural language processing, text processing, error analysis, text analysis, natural language
References keywords
phonetic(8), language(7), turkic(6), speech(6), languages(6), natural(5), resource(4), processing(4), deep(4), access(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2025-10-31
Volume 25, Issue 3, Year 2025, On page(s): 59 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2025.03007
Abstract
The phonetic representativeness of writing systems is of critical importance for the advancement of language technologies. In this study, the Phonetic Correspondence Efficiency metric is introduced to measure how accurately, uniquely, and economically a writing system captures the sound structure of a language. To evaluate the metrics validity and practical utility, comparative analyses were conducted using datasets updated in accordance with the Common Turkic Alphabet; the results demonstrate that these updates effectively reflect improvements and changes in orthographypronunciation alignment. Improvements of 18-19% were observed with weighted computation methods, while logarithmic approaches yielded enhancements of 11-12%. Additionally, segment-based computations indicate that the method maintains consistent performance across different scales. As PCE does not require training data or pre-trained models, it stands out as an innovative metric for assessing the overall phonetic alignment of writing systems from a universal perspective, offering significant potential for writing reforms and the development of natural language processing applications. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.