Material Detail

Syntactic Approaches for Natural Language Processing

Syntactic Approaches for Natural Language Processing

This video was recorded at AI Bootcamp 2011 @ AITI-KACE, Accra, Ghana. Natural Language Processing combines concepts from different research fields, like Formal Languages, Speech Recognition, Computational Linguistics and Machine Learning. This talk describes syntactic approaches to deal with Natural Language Processing problems. Hidden Markov Models and Probabilistic Context Free Grammars are usual concepts in NLP. The probabilistic estimation of these models is also described in this talk.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.