A Novel Framework for Arabic Dialect Chatbot Using Machine Learning

Table 1

Comparison of a few of the relevant works pertaining to the Arabic chatbots.

Ref no.	Motivation	Datasets used	Obtained accuracy	Limitations
[13]	This article introduces Nabiha, a new Arabic dialect chatbot dedicated to assisting college students	The datasets collected are 248 inputs/outputs from the KSU IT students’ accounts in Askme.com.; The methods used in this work are premade platform which is called PANDORABOT platform	The result of this paper shows that 15.38% of the total answer is not accurate, 53.85% is somewhat accurate, and 30.77% is very precise	The dataset should be expanded; we need to address the issue of HTML tags as well as Twitter’s text area constraints
[14]	BOTTA’s goal is to create a conversational environment and connect with as many Arab users as possible. She’s the first chatbot to speak in an Arabic dialect, which helps her achieve her goal of amusing people who are used to conversing in the language	BOTTA is using AIML and launched it on the PANDORABOT platform	BOTTA’s pattern matching will be able to correct 85.1 percent of the spelling errors observed in spontaneous Arabic typing	Using corpus-based machine learning approaches, BOTTA’s pattern matching has to be improved. Further development will involve morphological analysis of the input and experiments with lemma-based pattern matching using existing tools for Egyptian Arabic processing