Why do artificial intelligence tools lack Arabic language support? Find out the causes and possible solutions

Artificial intelligence is one of the most prominent technological developments in the modern era, and it has revolutionized many fields thanks to its ability to analyze big data and make smart decisions. However, a pressing question remains: Why are the number of AI tools that support the Arabic language so much lower compared to other languages such as English?

First, we must understand that the development of AI tools depends heavily on the quantity and quality of available data. The English language has a huge and diverse database, as a result of its wide use in scientific research, business, and entertainment. This data enables scientists and developers to train AI models very efficiently. In contrast, the Arabic language suffers from a lack of available digital content, which makes it difficult to collect a large amount of data to train smart models.

Second, Arabic differs from English in its structure and تصحيح عربي, which makes natural language processing (NLP) more challenging. The Arabic language is characterized by multiple word inflections, a diversity of linguistic styles, and a widespread use of relative pronouns, which requires advanced artificial intelligence models capable of understanding and processing these complexities. This increases the difficulty of developing effective tools that support the Arabic language.

Third, developing AI tools requires significant financial investments and robust infrastructure. Many technology companies and institutions focus their investments on developing tools that support the most widely used international languages, such as English and Chinese, to ensure a greater return on investment. This trend leaves less widespread languages, such as Arabic, outside the main interest of major companies.

Fourth, the lack of specialized expertise in the field of artificial intelligence and natural language processing in the Arab world is one of the important factors. Many Arab competencies in this field go to work abroad where there are greater opportunities and better research capabilities, which limits the possibility of developing local tools that effectively support the Arabic language.

However, there are some initiatives and attempts to bridge this gap. One prominent example is the “Sahehly” platform, which provides proofreading services in Arabic using artificial intelligence techniques. These initiatives show that there are tangible efforts to enhance support for the Arabic language in the field of artificial intelligence, but they remain individual attempts that require greater institutional and governmental support.

To overcome these challenges, serious steps must be taken to enhance the position of the Arabic language in the field of artificial intelligence. This can be achieved through:

Increase investments in research and development of artificial intelligence and natural language processing for the Arabic language.

Providing huge Arabic digital content that can be used to train artificial intelligence models effectively.

Encouraging cooperation between Arab and international universities and research institutions to exchange experiences and technologies.

Supporting local talent and providing an encouraging work environment for Arab talent in the field of artificial intelligence.

In the end, we can say that improving Arabic language support in AI tools is not impossible, but it requires a coordinated effort and deliberate investments to achieve tangible progress. With continued technological developments and local initiatives, we could see a bright future for supporting the Arabic language in this vital field.