DocumentCode :
2031090
Title :
Automatic grapheme-to-phoneme conversion of Arabic text
Author :
Al-Daradkah, Belal ; Al-Diri, Bashir
Author_Institution :
Sch. of Comput. Sci., Univ. of Lincoln, Lincoln, UK
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
468
Lastpage :
473
Abstract :
An automated computerized system to convert Arabic graphemes to phonemes (G2P) by using Arabic language phonology rules supported by a dictionary of exceptional words. The system was tested on a publicly dataset that contains 620 fully diacritics Arabic sentences formed from 3440 words and consists of 27030 graphemes which were manually segmented. the results were very promising on different levels of validation: sentences, word and phonemes. The system showed a high rate of accuracy and the precision of the system is 99.19%; with sensitivity rate of 99.42%. All Arabic rules were applied and tested. The developed system can be applied to any diacritic Arabic text.
Keywords :
natural language processing; speech synthesis; text analysis; Arabic language phonology rule; Arabic text; G2P; automated computerized system; grapheme-to-phoneme conversion; word dictionary; Accuracy; Dictionaries; Manuals; Speech; Speech processing; Speech recognition; Standards; Arabic; graphemes; phonemes; phonology; rules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Information Conference (SAI), 2015
Conference_Location :
London
Type :
conf
DOI :
10.1109/SAI.2015.7237184
Filename :
7237184
Link To Document :
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