Doha: A conference on artificial intelligence and the characteristics of the Arabic language, organized by the Doha Historical Dictionary of the Arabic Language in cooperation with the Arab Center for Research and Policy Studies, kicked off Monday, following the conclusion of the ceremony marking the completion of the Doha Historical Dictionary of the Arabic Language.

According to Qatar News Agency, the two-day conference is attended by a select group of researchers, linguists, and specialists in artificial intelligence and the automatic processing of the Arabic language from Arab and international universities and research centers.

The first day began with an opening session dedicated to framing the major issues addressed by the conference, and highlighting the importance of linking Arabic linguistic research with the development of artificial intelligence technologies, especially in light of the increasing need for reliable linguistic resources that contribute to the development of Arabic linguistic models.

The opening session was followed by a special session on the Doha Historical Dictionary of the Arabic Language, focusing on the linguistic and cognitive foundations on which the dictionary is based, and on its contributions to reconstructing the historical understanding of meaning and word in Arabic.

Professor of Linguistics at Tanta University in Egypt Dr. Abdul Karim Jabal discussed the jurisprudence of semantics and the transformations of meaning, highlighting the role of historical evidence in refuting a number of common misconceptions in linguistic understanding.

Professor of Linguistics at Al-Azhar University and a linguistic expert involved in the Doha Historical Dictionary Dr. Mohamed Al Khatib also discussed the structure of the witness and the documentation methodology, highlighting the standards adopted in maintaining texts within the dictionary, the most important of which are textual accreditation and scientific neutrality.

Head of the Scientific Council of the Doha Historical Dictionary of the Arabic Language Dr. Rachid Belhabib addressed the issues of revival and standardization in light of the dictionary's data, while Dr. Hassan Hamza, vice president of the scientific council of the Doha Historical Dictionary, presented a comparative reading between the Doha Dictionary and the French Historical Dictionary in terms of the methodology of language history.

He also noted the transition of the Doha Dictionary from a mere research tool to a subject of research itself, as it revealed, after its completion, broad research potential and new scientific projects that contributed to revising many linguistic assumptions.

The first day witnessed the convening of the first session entitled 'data from the Doha Historical Dictionary of the Arabic Language in the service of artificial intelligence,' which discussed the potential for employing historical lexical data in the development of smart applications and Arabic linguistic models.

Executive Director of the Doha Historical Dictionary Dr. Ezz El Din Al Bouchikhi, Head of the Computing Unit at the Doha Historical Dictionary of the Arabic Language Mohamed Babah, and a computer expert at the Doha Historical Dictionary of the Arabic Language Mohamed Rikas, discussed the role of dictionary data as a resource for developing Arabic artificial intelligence applications. The research emphasized the importance of Doha Dictionary data in developing Arabic artificial intelligence, as it provides 300,000 dictionary entries and a text corpus of nearly one billion words.

Head of the Bibliography and Corpus Unit at the Doha Historical Dictionary of the Arabic Language Dr. Mohammed Al Obaidi also gave a presentation on enhancing Arabic digital content with lexical resources in the age of artificial intelligence, using the Doha Dictionary as a model.

Researchers Dr. Samer Al Rashwani and Dr. Sumaya Al Tanbouli from the Research Center for Islamic Legislation and Ethics at Hamad Bin Khalifa University discussed the development of an artificial intelligence server enhanced with lexicon data for a more accurate understanding of Quranic texts and prophetic hadiths.

The conference also witnessed three scientific sessions in the evening, including a session on the linguistic characteristics of Arabic and its relationship to machine modeling. Another session reviewed Arabic applications in the performance of artificial intelligence models, where papers focused on evaluating the performance of linguistic models in processing Arabic at its various levels.

The first day sessions were characterized by in-depth scientific discussions, reflecting the diversity of approaches between theoretical linguistics, computational linguistics and artificial intelligence applications, and highlighting the need to enhance integration between researchers in the Arabic language and developers of intelligent models to ensure a more accurate representation of the characteristics of Arabic in contemporary computer systems.

The conference is scheduled to continue tomorrow with a discussion of Arab attempts to build linguistic models, the use of artificial intelligence in education and translation, and the cultural and cognitive contexts of intelligent models.