Arabic Chatbots: A Survey

Alhumoud, Sarah; Wazrah, Asma Al; Aldamegh, Wafa

doi:10.14569/ijacsa.2018.090867

Cited by 23 publications

(25 citation statements)

References 15 publications

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“…Although deep learning approaches have revolutionized NLP for highresource languages such as English, Arabic is still in its infancy. This work significantly expands the scope of several existing surveys [13], [14], [15] by going beyond chatbots and question-answering systems to provide what we believe is the first general survey of text-based conversational AI systems in Arabic. This survey aims to shed light on recent studies focusing on Arabic conversational AI to provide an overview of the advancement of this field.…”

Section: Introductionmentioning

confidence: 88%

“…The search fields were chosen based on the options provided by each database. Considering that the concept of Arabic conversational agents is advancing rapidly and that the available surveys focused on works before 2018 [14], [15], the search range is from 2018 to 2021.…”

Section: Methodsmentioning

confidence: 99%

“…For Arabic, surveys have tended to study the existing works of conversational agents until 2018, including QA systems and task-oriented DS [11], QA systems [12], [13], and chatbots [14], [15]. All these studies have mainly focused on the challenges of building these systems in Arabic.…”

Section: Introductionmentioning

confidence: 99%

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Recent Developments in Arabic Conversational AI: A Literature Review

Fuad

Al-Yahya

2022

IEEE Access

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Conversational AI is one of the most active research areas in AI, and it has gained more attention from academia as well as industry. Given recent advancements in several conversational AI systems in addition to the availability of several datasets, the aim of this study is to explore the landscape of Arabic text-based conversational AI systems. In this work, we provide a thorough review of recent Arabic conversational AI systems. We group them into three categories based on their functionality: (1) questionanswering (QA) systems, (2) task-oriented dialogue systems (DS), and (3) chatbots. Furthermore, we describe the common datasets used in building and evaluating conversational AI systems in Arabic. Few surveys have targeted the conversational AI field for the Arabic language, and we aim to cover this gap with this study. Our contribution focuses on reviewing and analyzing the literature in the field and highlighting future research directions towards human-like conversational AI systems in Arabic.

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Section: Introductionmentioning

confidence: 88%

Section: Methodsmentioning

confidence: 99%

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Recent Developments in Arabic Conversational AI: A Literature Review

Fuad

Al-Yahya

2022

IEEE Access

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“…A number of studies have pursued the goal of developing an Arabic-based DS [9], each relying on a different knowledge base and system architecture. Some of these studies [11]- [13] have used the Artificial Linguistic Internet Computer Entity (ALICE) chatbot [10].…”

Section: A Arabic Ds Developmentmentioning

confidence: 99%

Building an Arabic Flight Booking Dialogue System Using a Hybrid Rule-Based and Data Driven Approach

Alajmi

Al-Twairesh

2021

IEEE Access

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“…In 2018, AlHumoud et al [23] presented a state-of-the-art review of research on Arabic chatbots. They examined twelve Arabic chatbots and classified them into two categories based on the conversation interaction type: text and speech.…”

Section: E Arabic Chatbotsmentioning

confidence: 99%

Nabiha: An Arabic Dialect Chatbot

Al-Ghadhban¹,

Al-Twairesh²

2020

IJACSA

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Nowadays, we are living in the era of technology and innovation that impact various fields, including sciences. In computing and technology, many outstanding and attractive programs and applications have emerged, including programs that try to mimic the human behavior. A chatbot is an example of the artificial intelligence-based computer programs that try to simulate the human behavior by conducting a conversation and an interaction with the users using natural language. Over the years, various chatbots have been developed for many languages (such as English, Spanish, and French) to serve many fields (such as entertainment, medicine, education, and commerce). Unfortunately, Arabic chatbots are rare. To our knowledge, there is no previous work on developing a chatbot for the Saudi Arabic dialect. In this study, we have developed "Nabiha," a chatbot that can support conversation with Information Technology (IT) students at King Saud University using the Saudi Arabic dialect. Therefore, Nabiha will be the first Saudi chatbot that uses the Saudi dialect. To facilitate access to Nabiha, we have made it available on different platforms: Android, Twitter, and Web. When a student wants to talk with Nabiha, she can download an application, talk with her on Twitter, or visit her website. Nabiha was tested by the students of the IT department, and the results were somewhat satisfactory, considering the difficulty of the Arabic language in general and the Saudi dialect in particular.

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Arabic Chatbots: A Survey

Cited by 23 publications

References 15 publications

Recent Developments in Arabic Conversational AI: A Literature Review

Recent Developments in Arabic Conversational AI: A Literature Review

Building an Arabic Flight Booking Dialogue System Using a Hybrid Rule-Based and Data Driven Approach

Nabiha: An Arabic Dialect Chatbot

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