4 research outputs found
Arabic machine transliteration using an attention-based encoder-decoder model
Transliteration is the process of converting words from a given source language alphabet to a target language alphabet, in a way
that best preserves the phonetic and orthographic aspects of the transliterated words. Even though an important effort has been
made towards improving this process for many languages such as English, French and Chinese, little research work has been
accomplished with regard to the Arabic language. In this work, an attention-based encoder-decoder system is proposed for the
task of Machine Transliteration between the Arabic and English languages. Our experiments proved the efficiency of our proposal
approach in comparison to some previous research developed in this area
Arabic machine transliteration using an attention-based encoder-decoder model
Transliteration is the process of converting words from a given source language alphabet to a target language alphabet, in a way
that best preserves the phonetic and orthographic aspects of the transliterated words. Even though an important effort has been
made towards improving this process for many languages such as English, French and Chinese, little research work has been
accomplished with regard to the Arabic language. In this work, an attention-based encoder-decoder system is proposed for the
task of Machine Transliteration between the Arabic and English languages. Our experiments proved the efficiency of our proposal
approach in comparison to some previous research developed in this area