Better Word Representation Vectors Using Syllabic Alphabet: A Case Study of Swahili
Deep learning has extensively been used in natural language processing with sub-word representation vectors playing a critical role.However, this cannot be said of Swahili, which is a low resource and widely spoken language in East and Central Africa.This study proposed novel word embeddings from syllable embeddings sofia barclay sexy (WEFSE) for S