We present a novel language adaptable spell checking system that detects spelling errors
and suggests context-sensitive corrections in real-time. We show that our system can be …

In this article, we propose a system called “UTTAM,” for correcting spelling errors in Hindi
language text using supervised learning. Unlike other languages, Hindi contains a large set …

Hindi, the majority language of India, is still in its infancy stage concerning to natural
language processing applications and research. Spelling detection and correction for Hindi …

This study presents a comparative study of the word intelligibility of two popular applications,
Siri and Google Translate, that are widely used on smartphones. Both of them have text-to …

Abstract Electronic Patient Health Record (EPHR) is an individual official patient health
document shared among multiple facilities and agencies. However, most existing EPHR …

Word embeddings capture contextual information about individual words in a vector form.
These representations of words help learning algorithms to achieve better performance in …

Correcting typographical errors in electronic text may include converting a text message
containing at least one phonemic spelling of a word into speech by running a text-to-speech …

Résumé Ce travail s' inscrit dans le cadre de la Synthèse Automatique de Parole (SAP); il
porte sur l'étude de la production de la voix à partir d'un texte écrit en Arabe. Notre objectif …

Perkembangan dibidang teknologi komunikasi sangat membantu masyarakat saat
melakukan komunikasi dengan mudah dengan berbagai fitur layanan yang tersedia …

In this work, we present a system of speech synthesis from a text written in Standard Arabic,
we explain the methodology used for its design and we demonstrate the principal stages of …