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Inicio 4 June 2026 02:34

Fin 4 June 2026

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Higher School of Economics

Il linguaggio naturale, dall'uomo alla macchina

Explora la fascinante intersección entre el lenguaje natural y la comunicación máquina con nuestro curso "El lenguaje natural, del hombre a la máquina," ofrecido por la Escuela Superior de Economía a través de edX. Este amplio currículo profundiza en las tecnologías de procesamiento automático tanto del lenguaje escrito como hablado, con un enfoque.
Higher School of Economics via edX

Higher School of Economics

12 Cursos


La Escuela Superior de Economía es la universidad líder en Rusia para la investigación y educación económica, con campus en Moscú, San Petersburgo y Nizhni Nóvgorod. Ofrece programas de pregrado, posgrado y doctorado en economía, negocios y ciencias sociales.

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Resumen

Explore the fascinating intersection of natural language and machine communication with our course "Il linguaggio naturale, dall'uomo alla macchina," offered by the Higher School of Economics through edX. This comprehensive curriculum delves into the automatic processing technologies of both written and spoken language with a deep focus on human-machine dialogue systems.

Participants will gain insights into general linguistics, starting with acoustic phonetics, digital processing of phonetic sounds, and handling data from both textual and spoken language corpuses.

The course emphasizes voice synthesis, speech recognition, and machine learning technologies, including Hidden Markov Models and models defining language structure like Grammars and N-grams.

The program concludes with an in-depth exploration of human-computer dialogue models, discussing system architectures for dialogue management, the Voice-XML language, and tools and applications for dialogue systems. The final lecture offers a glimpse into the future and present applications of these technologies.

Perfect for learners interested in Artificial Intelligence Courses, this course is a gateway to understanding the core technologies at the forefront of linguistic and AI research.


Impartido por

Francesco Cutugno, Antonio Origlia and Maria Di Maro


Materias