Analysis of it solutions to improve the inclusiveness of foreign language speakersVilar Jordanovski, Nikola (Avtor) Pušnik, Maja (Mentor) inclusivenessforeign language speakersIT solutions for inclusivenessmultilingualismThis thesis explores how information technologies can enhance linguistic inclusivity in a globalized society, where language barriers are increasingly evident due to greater mobility and cultural interconnectedness. The empirical section compares ten IT solutions, five offline and five using artificial intelligence, by translating ten common email messages into five languages. The analysis focuses on translation accuracy, reliability, and user experience. User surveys provided additional insights into challenges and desired functionalities for greater inclusivity. Findings indicate that AI-based solutions like ChatGPT and DeepL achieve better contextual accuracy. The thesis suggests that future development of these solutions should emphasize cultural nuances and contextual precision to improve accessibility and inclusivity for speakers of different languages.[N. Vilar Jordanovski]20252025-02-17 11:53:27Magistrsko delo/naloga91870UDK: 004.81'322.4(043.2)COBISS_ID: 231394819sl