Lecture Natural language processing

Lecture “Natural language processing – Chapter 3: Basic principles for NLP” has contents: POS – part of speech tagging, POS – part of speech examples for English, POS – Methods of tagging, sentence types,…and other contents.

28p dien_vi01 21-11-2018 29 1   Download

Lecture “Natural language processing - Chapter 2: Fundamental algorithms and mathematical models” has contents: Probability theory and Bayes theorems (Concepts in probability, Bayes theorems, application of the probability theory in NLP).

14p dien_vi01 21-11-2018 34 1   Download

Lecture “Natural language processing – Chapter 4: Computational linguistics” has contents: What is computational linguistics, corpus definitions, corpus categories, parallel corpora application, alignment methods, normalization, lemmatization and tokenization.

15p dien_vi01 21-11-2018 16 0   Download

Lecture “Natural language processing – Chapter 5: Foundation of statistical machine translation” has contents: Introduction to statistical machine translation, statistical MT systems, three problems in statistical MT systems, translation model, and other contents.

12p dien_vi01 21-11-2018 21 0   Download

Lecture “Natural language processing - Chapter 1: Introduction and Overview of NLP” has contents: Introduce some of the classical problems in NLP, learn to address empirical problems, talk/write clearly about your work, decision and observations.

12p dien_vi01 21-11-2018 35 1   Download