Logo

Probabilistic Models in the Study of Language

Small book cover: Probabilistic Models in the Study of Language

Probabilistic Models in the Study of Language
by

Publisher: University of California, San Diego
Number of pages: 274

Description:
A textbook on the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling. The intended audience is graduate students in linguistics, psychology, cognitive science, and computer science who are interested in using probabilistic models to study language.

Home page url

Download or read it online for free here:
Download link
(4.5MB, PDF)

Similar books

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.
(23925 views)
Book cover: Natural Language Processing for the Working ProgrammerNatural Language Processing for the Working Programmer
by
We will go into many of the techniques that so-called computational linguists use to analyze the structure of human language, and transform it into a form that computers work with. We chose Haskell as the main programming language for this book.
(19086 views)
Book cover: Natural Language Processing SuccinctlyNatural Language Processing Succinctly
by - Syncfusion, Inc.
Author will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
(8051 views)
Book cover: Computational LinguisticsComputational Linguistics
by
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.
(24857 views)