the article analyzes the use of syntactic and heuristic approaches in automatic question generation (AQG) systems based on artificial intelligence, with a focus on their application in educational contexts.
ะฒ ััะฐััะต ัะฐััะผะฐััะธะฒะฐะตััั ะฟัะธะผะตะฝะตะฝะธะต ัะธะฝัะฐะบัะธัะตัะบะธั ะธ ัะฒัะธััะธัะตัะบะธั ะฟะพะดั ะพะดะพะฒ ะฒ ัะธััะตะผะฐั ะฐะฒัะพะผะฐัะธัะตัะบะพะน ะณะตะฝะตัะฐัะธะธ ะฒะพะฟัะพัะพะฒ (ะะะ) ะฝะฐ ะพัะฝะพะฒะต ะธัะบััััะฒะตะฝะฝะพะณะพ ะธะฝัะตะปะปะตะบัะฐ ะธ ะธั ัะพะปั ะฒ ะพะฑัะฐะทะพะฒะฐัะตะปัะฝัั ะฟัะพัะตััะฐั .