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1. 1. Homograph Disambiguation and Diacritization for Arabic Text-to-Speech Using Neural Networks

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Harm Lameris; [2021]
   Keywords : Computational Linguistics; Language Technology; Diacritization; Neural Networks; Deep Learning; Arabic; Natural Language Processing; NLP; Text-to-Speech; TTS; Homograph Disambiguation;

   Abstract : Pre-processing Arabic text for Text-to-Speech (TTS) systems poses major challenges, as Arabic omits short vowels in writing. This omission leads to a large number of homographs, and means that Arabic text needs to be diacritized to disambiguate these homographs, in order to be matched up with the intended pronunciation. READ MORE