Logo

Stochastic Attribute-Value Grammars

Small book cover: Stochastic Attribute-Value Grammars

Stochastic Attribute-Value Grammars
by

Publisher: ESSLLI
Number of pages: 159

Description:
This one-week course will provide an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. Through a combination of lectures and, as local computing facilities permit, hands-on lab exercises, students will investigate the implementation of maximum entropy models for attribute-value grammars, including such topics as ambiguity identification, feature selection, and model training and evaluation.

Download or read it online for free here:
Download link
(1.8MB, PDF)

Similar books

Book cover: How Mobile Robots Can Self-organise a VocabularyHow Mobile Robots Can Self-organise a Vocabulary
by - Language Science Press
This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon ...
(5207 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.
(19622 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.
(15205 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.
(4577 views)