ACCURATE AND FAST RECURRENT NEURAL NETWORK SOLUTION FOR THE AUTOMATIC DIACRITIZATION OF ARABIC TEXT

Arabic is mostly written now without its diacritics (short vowels). Adding these diacritics decreases reading ambiguity among other benefits. This work aims to develop a fast and accurate machine learning solution to diacritize Arabic text automatically. This paper uses long short-term memory (LSTM)...

ver descrição completa

Detalhes bibliográficos

Autor principal:	Gheith Abandah
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2020-06-01
Colecção:	Jordanian Journal of Computers and Information Technology
Assuntos:	automatic diacritization arabic natural language processing sequence transcription arabic text recurrent neural networks long short-term memory bidirectional neural network
Acesso em linha:	https://jjcit.org/paper/78
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!