Hungarian Dialect Translator: With Artificial Intelligence

Adam Hartveg’s thesis delves into the captivating realm of Hungarian dialects, examining the intricate linguistic diversity within Hungary’s borders. By harnessing cutting-edge language processing models, such as GPT, BERT, and LSTM, Hartveg embarks on an audacious mission to develop a translation program that can convert text and speech between these distinct dialects. His research not only unveils deeper linguistic connections but also confronts the challenges of dialect translation without a shared vocabulary. Through diligent data collection and model development, this thesis enhances our understanding of regional linguistic variations and their preservation, paving the way for future technologies in language translation and cultural documentation.