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Hungarian Dialect Translator
Hungarian Dialect Translator
Knygos.lt klubas Knygos.lt nariams
53,82 €
-30%
Įprastai
76,89 €
  • Išsiųsime per 12–18 d.d.
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…
  • Leidėjas:
  • ISBN-10: 9999317073
  • ISBN-13: 9789999317078
  • Formatas: 15.2 x 22.9 x 0.3 cm, minkšti viršeliai
  • Kalba: Anglų

Hungarian Dialect Translator (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Autorius: Adam Hartveg
  • Leidėjas:
  • ISBN-10: 9999317073
  • ISBN-13: 9789999317078
  • Formatas: 15.2 x 22.9 x 0.3 cm, minkšti viršeliai
  • Kalba: Anglų

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.

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