It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

The automatic classification of Arabic dialects is an ongoing research challenge, which has
been explored in recent work that defines dialects based on increasingly limited geographic …

Speech dialects refer to linguistic and pronunciation variations in the speech of the same
language. Automatic dialect classification requires considerable acoustic and linguistic …

In this paper, an automatic dialect identification (ADI) system is proposed by extracting
spectral and prosodic features for Kannada language. A new dialect dataset is collected …

As dialects are widely used in many countries, there is growing interest in incorporating
them into various applications, including conversational systems. Processing spoken …

Detecting variations in dialects within a language can be challenging, particularly in regions
with rich linguistic diversity like Saudi Arabia. To our knowledge, no prior attempts have …

Classifying Sorani Kurdish subdialects poses a challenge due to the need for publicly
available datasets or reliable resources like social media or websites for data collection. We …

Identifying dialects can be considered as one of the recently attracted researchers. This
study concentrates on recognizing between famous Arabic dialects based on speeches or …

Arabic Dialect Identification (DID) has attracted the attention of many researchers. In this
paper, we introduce a new technique for extracting the characteristics of different Arabic …

In recent years, social media networking has grown into an amazing improvement in our
everyday ways of life. As its popularity grew, more people of all ages began to take …