Ewan Klein – författare

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you''ll learn how to write Python programs that work with large collections of unstructured text. You''ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you''ll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:

Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you''re interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you''re simply curious to have a programmer''s perspective on how human language works -- you''ll find Natural Language Processing with Python both fascinating and immensely useful.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you''ll learn how to write Python programs that work with large collections of unstructured text. You''ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you''ll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:

Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you''re interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you''re simply curious to have a programmer''s perspective on how human language works -- you''ll find Natural Language Processing with Python both fascinating and immensely useful.

Generalized Phrase Structure Grammar provides the definitive exposition of the theory of grammar originally proposed by Gerald Gazdar and developed during half a dozen years' work with his colleagues Ewan Klein, Geoffrey Pullum, and Ivan Sag. This long-awaited book contains both detailed specifications of the theory and extensive illustrations of its power to describe large parts of English grammar. Experts who wish to evaluate the theory and students learning GPSP for the first time will find this book an invaluable guide.The initial chapters lay out the theoretical machinery of GPSP in a readily intelligible way. Combining informal discussion with precise formalization, the authors describe all major aspects of their grammatical system, including a complete theory of syntactic features, phrase structure rules, meta rules, and feature instantiation principles. The book then shows just what a GPSP analysis of English syntax can accomplish. Topics include the internal structure of phrases, unbounded dependency constructions of many varieties, and coordinate conjunction—a construction long considered the sticking point for phrase structure approaches to syntax.The book concludes with a well developed proposal for a model theoretic semantic system to go along with GPSP syntax. Throughout, the authors maintain the highest standards of explicitness and rigor in developing and assessing their grammatical system. Their aim is to provide the best possible test of the hypothesis that syntactic description can be accomplished in a single-level system. And more generally, it is their intention to formulate a grammatical framework in which linguistic universals follow directly from the form of the system and therefore require no explicit statement. Their book sets new methodological standards for work in generative grammar while presenting a grammatical system of extraordinary scope.

No detailed description available for "Order, Concord, and Constituency".

This volume in the Basic Research Series consists of the proceedings of the Symposium on Natural Language and Speech held during the ESPRIT Conference of November 1991 - a conference that serves to open up ESPRIT results not only to the ESPRIT community but also to the entire European IT industry and its users. The symposium is organised by the newly launched Network of Excellence on Language and Speech (3701) which brings together the foremost European experts and institutions in these two domains. By bringing together these two communities, which have so far been working in relative isolation from each other, the network aims to augment the focusing of research onto the long-term goal of the "construction of an integrated model of the cognitive chain linking speech to reasoning via natural language". To advance towards this industrially significant goal, the network operates at different levels - a strategy for research, a coordination for the training of needed researchers and a coordination of the use of its resource and communication infrastructure for the most efficient interworking of the members of the community who are spread all over Europe. This symposium is a small but significant building block for the achievement of the goals of the network.