Logo

Formal Language Theory for Natural Language Processing

Small book cover: Formal Language Theory for Natural Language Processing

Formal Language Theory for Natural Language Processing
by

Publisher: ESSLLI
Number of pages: 52

Description:
This course is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive linguistically motivated examples. Still, mathematical rigor is not compromised, and students are expected to have a formal grasp of the material by the end of the course.

Home page url

Download or read it online for free here:
Download link
(320KB, PDF)

Similar books

Book cover: Dictionary of Programming LanguagesDictionary of Programming Languages
by
The Dictionary of Programming Languages is an online compendium of computer coding methods assembled to provide information and aid your appreciation for computer science history. The dictionary currently has over 120 entries.
(13451 views)
Book cover: Structure and Interpretation of Computer ProgramsStructure and Interpretation of Computer Programs
by - McGraw-Hill
The book teaches how to program by employing the tools of abstraction and modularity. The central philosophy is that programming is the task of breaking large problems into small ones. You will learn how to program and how to think about programming.
(18145 views)
Book cover: Practical Foundations for Programming LanguagesPractical Foundations for Programming Languages
by - Carnegie Mellon University
This is a book on the foundations of programming languages. The emphasis is on the concept of type, which organizes the computational universe in the same way that the concept of set may be seen as an organizing principle for mathematics.
(16796 views)
Book cover: Semantics: Advances in Theories and Mathematical ModelsSemantics: Advances in Theories and Mathematical Models
by - InTech
The book is a blend of a number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics. Topics include: Background; Queries, Predicates, and Semantic Cache; Algorithms and Logic Programming; etc.
(9463 views)