Logo

Computational Linguistics by Igor Boshakov, Alexander Gelbukh

Small book cover: Computational Linguistics

Computational Linguistics
by


ISBN/ASIN: 9703601472
Number of pages: 198

Description:
The contents of the book are based on the course on computational linguistics that has been delivered by the authors since 1997 at the Center for Computing Research, National Polytechnic Institute, Mexico City. The book focuses on the basic set of ideas and facts from the fundamental science necessary for the creation of intelligent language processing tools, without going deeply into the details of specific algorithms or toy systems.

Home page url

Download or read it online for free here:
Download link
(1.6MB, PDF)

Similar books

Book cover: Formal Language Theory for Natural Language ProcessingFormal Language Theory for Natural Language Processing
by - ESSLLI
This text 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 examples.
(6627 views)
Book cover: Language, Proof and LogicLanguage, Proof and Logic
by - Center for the Study of Language
The book covers the boolean connectives, formal proof techniques, quantifiers, basic set theory, induction, proofs of soundness and completeness for propositional and predicate logic, and an accessible sketch of Godel's first incompleteness theorem.
(13203 views)
Book cover: Prolog and Natural-Language AnalysisProlog and Natural-Language Analysis
by - Center for the Study of Language
A concise introduction to logic programming and the logic-programming language Prolog both as vehicles for understanding elementary computational linguistics and as tools for implementing the basic components of natural-language-processing systems.
(14548 views)
Book cover: Natural Language Processing with PythonNatural Language Processing with Python
by - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
(11239 views)