Computing Natural Language
by A. Aliseda, R. van Glabbeek, D. Westerstahl
Publisher: CSLI 1998
Number of pages: 168
This book pursues the recent upsurge of research in the interface of logic, language and computation, with applications to artificial intelligence and machine learning. It contains a variety of contributions to the logical and computational analysis of natural language. A wide range of logical and computational tools are employed and applied to such varied areas as context-dependency, linguistic discourse, and formal grammar.
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by Roger Levy - University of California, San Diego
A book 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 and computer science.
by 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.
by Gerald Gazdar, Chris Mellish - Addison-Wesley
The major focus of this book is on the processing of the orthographic forms of natural language utterances and text. Most of the book deals with the parsing and understanding of natural language, much less on the production of it.
by Edward Stabler - UCLA
What kind of computational device could use a system like a human language? This text explores the computational properties of devices that could compute morphological and syntactic analyses, and recognize semantic relations among sentences.