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Traitement du langage naturel

This module explores Natural Language Processing (NLP), a branch of Artificial Intelligence focused on enabling computers to understand, interpret, and generate human language. It covers key techniques such as tokenization, parsing, semantic analysis, and machine learning models for tasks like sentiment analysis, machine translation, and voice recognition.

Portail > Intelligence artificielle > Traitement du langage naturel

Bâtisseur de programmes d'études

Voir le programme d'études

Jurafsky, Daniel, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall Series in Artificial Intelligence. Upper Saddle River, N.J: Prentice Hall, 2000.

Bird, Steven, Ewan Klein, and Edward Loper. Natural Language Processing with Python. 1st ed. Beijing ; Cambridge [Mass.]: O’Reilly, 2009.

http://www.nltk.org/book/

Merci de vous être inscrit à notre lettre d'information !

Thank you! RSVP received for Jurafsky, Daniel, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall Series in Artificial Intelligence. Upper Saddle River, N.J: Prentice Hall, 2000.

Merci d'avoir posé votre candidature ! Nous vous contacterons.

Apply for: Jurafsky, Daniel, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall Series in Artificial Intelligence. Upper Saddle River, N.J: Prentice Hall, 2000.

Jurafsky, Daniel, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall Series in Artificial Intelligence. Upper Saddle River, N.J: Prentice Hall, 2000.

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