
Probabilistic Models in the Study of Language
by Roger Levy
Publisher: University of California, San Diego 2012
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.
Download or read it online for free here:
Download link
(4.5MB, PDF)
Similar books
A Maximum Entropy Approach to Natural Language Processingby A. L. Berger, S. A. Della Pietra, V. J. Della Pietra - Association for Computational Linguistics
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently.
(13173 views)
Machine Translation: an Introductory Guideby Doug Arnold, at al. - Blackwell Pub
This introductory book looks at all aspects of Machine Translation: covering questions of what it is like to use a modern Machine Translation system, through questions about how it is done, to questions of evaluating systems, and more.
(11535 views)
Language, Proof and Logicby Jon Barwise, John Etchemendy - 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.
(24690 views)
Natural Language Processing Succinctlyby Joseph D. Booth - 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.
(8151 views)