3. Technical terms, domain-specific jargon, and intricate scientific concepts can defy straightforward translation. Machine translations may require additional help to accurately convey these specialized nuances, underscoring the need for manual intervention.
4. Pan-Indian Common Core Vocabulary: It is essential to encourage the development of a pan-Indian common core vocabulary to promote effective multilingual education. This approach transcends mere word-to-word translations, aiming to convey complete concepts. This common core vocabulary becomes the linchpin of effective multilingual communication by standardizing terminology and promoting a shared understanding across languages.
5. Biases in Machine Translation and AI Systems: Many honduras mobile database research have shown that machine translation and AI programs run the risk of obtaining biased information and data that can harmfully affect marginal communities and perpetuate detrimental ideas about certain groups of individuals. Language professionals and AI experts must oversee the gathering and collecting of data to ensure that these harmful biases will not cause issues with India's plans of inclusivity and cultural and linguistic diversity in the academe.
Final Words
Much like India, Abu Dhabi has also begun to implement and create an AI tool for its Arabic communities. These AI initiatives just show how transformative and revolutionary this technology has become. Low-resource languages now have the opportunity to make their language more accessible to the public, particularly in India's educational system.