4 edition of **Computational complexity and natural language** found in the catalog.

Computational complexity and natural language

G. Edward Barton

- 99 Want to read
- 27 Currently reading

Published
**1987**
by MIT Press in Cambridge, Mass
.

Written in English

- Computational complexity.,
- Natural language processing (Computer science)

**Edition Notes**

Statement | G. Edward Barton, Jr., Robert C. Berwick, Eric Sven Ristad. |

Series | Computational models of cognition and perception |

Contributions | Berwick, Robert C., Ristad, Eric Sven. |

Classifications | |
---|---|

LC Classifications | QA267 .B36 1987 |

The Physical Object | |

Pagination | xii, 335 p. ; |

Number of Pages | 335 |

ID Numbers | |

Open Library | OL2733003M |

ISBN 10 | 0262022664 |

LC Control Number | 86027204 |

Robert C. Berwick is Professor of Computational Linguistics and Computer Science and Engineering, in the Laboratory for Information and Decision Systems and the Institute for Data, Systems, and Society at MIT and the author of Computational Complexity and Natural Language and The Acquisition of Syntactic Knowledge, both published by the MIT Press. The no half-Merge argument. The single-mutant theory of language evolution in [] rests on a number of points that are presented as tightly a nutshell: there was a Great Leap Forward, an unprecedented explosion of symbolic capacity and production sometime between the appearance of anatomically modern humans and a single exodus from Africa, roughly , Cited by: 2.

Given that the natural languages are based on social conventions, computational linguistics is located at the historical divide between the natural sciences and mathematics (in German, mathematics and the natural sciences are combined in the notion mathematisch-naturwissenschaftliche Fächer.), on the one hand, and the humanities and social Author: Roland Hausser. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics.

Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.. Challenges in natural language processing frequently . Complexity theory is a central field of the theoretical foundations of computer science. It is concerned with the general study of the intrinsic complexity of computational tasks; that is, it addresses the question of what can be achieved within limited time (and/or with other limited natural computational resources).

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Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems. It applies the recently developed computer science tool of complexity theory to the study of natural language. A unified and coherent account emerges of how complexity theory can probe the information-processing structure of grammars, discovering.

From the Publisher: Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems. It applies the recently developed computer science tool of complexity theory to the study of natural language.

Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems. It applies the recently developed computer science tool of complexity theory to the study of natural language.

A unified and coherent account emerges of how complexity theory can probe the information-processing structure of grammars Cited by: Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems.

It applies the recently developed computer science tool of complexity theory to the study of natural language. Summary This chapter contains sections titled: A Brief Review of Complexity Theory Parsing and Recognition Complexity and Semantics Determining Logical Relationships between Sentences Computational Complexity in Natural Language - The Handbook of Computational Linguistics and Natural Language Processing - Wiley Online LibraryCited by: From the Publisher: Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems.

It applies the recently developed computer science tool of complexity theory to the study of natural by: Complexity of natural languages Computational complexity: the expressive power of (and the resources needed in order to process) classes of languages Linguistic complexity: what makes individual constructions or sentences more diﬃcult to understand This is the dog, that worried the cat, that killed the rat, that ate the malt, that lay inFile Size: KB.

Computational complexity theory focuses on classifying computational problems according to their inherent difficulty, and relating these classes to each other. A computational problem is a task solved by a computer.

A computation problem is solvable by mechanical application of mathematical steps, such as an algorithm. A problem is regarded as inherently difficult if its. Computational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective, as well as the study of appropriate computational approaches to linguistic questions.

Traditionally, computational linguistics was performed by computer scientists who had specialized in the application of. Summary This chapter contains sections titled: A Brief Review of Complexity Theory Parsing and Recognition Complexity and Semantics Determining Logical Relationships between Sentences Computational Complexity in Natural Language - The Handbook of Computational Linguistics and Natural Language Processing - Wiley Online LibraryCited by: DRAFT About this book Computational complexity theory has developed rapidly in the past three decades.

The list of surprising and fundamental results proved since alone could ﬁll a book: these include new probabilistic deﬁnitions of classi-cal complexity classes (IP = PSPACE and the PCP Theorems) and their. But any system that aims at understanding natural language has to deal with the computational costs of semantic processing, viz., with the semantic complexity of natural language [ "Hausser rocks the foundations of truth-conditional semantics for natural language." [Kiyong Lee, Korea University, Seoul] "This book is a solid foundation for the computational modeling of human communication in natural language, and it is also a systematic explanation of how to make a talking robot." [Haitao Liu, Zhejiang University, P.R.

China]Reviews: 1. Computational linguistics. Natural language processing (Computer science) I. Clark, Alexander (Alexander Simon) II. Fox, Chris, – III. Lappin, Shalom. PH –dc22 A catalog record for this book is available from the British Library.

Set in 10/12pts, Palatino by SPi Publisher Services, Pondicherry, India. Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data. The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models.

In this post, you will discover the top books that you can read to get started with natural language processing. In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it.

Particular focus is given to time and memory requirements. As the amount of resources required to run an algorithm generally varies with the size of the input, the complexity is typically expressed as a function n → f(n), where n is the.

Book Reviews Computational Complexity and Natural Language cases of the URP will not arise in practice, and the LFG result is a case in point. This volume on the semantic complexity of natural language explores the question why some sentences are more difficult than others.

While doing so, it lays the groundwork for extending semantic theory with computational and cognitive aspects by combining linguistics and logic with computations and : Springer International Publishing. Analyzing Discourse and Text Complexity for Learning and Collaborating A Cognitive Approach Based on Natural Language Processing.

Authors: Dascălu, Mihai Free Preview. Presents an integrated approach for assessing textual complexity, learning strategies as well as learners collaborative contributions Analyzing Discourse and Text Complexity.

This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as /5.

Book Description. This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems—with models and exercises drawn from physics, chemistry, geology, and biology.This is a collection of new papers by leading researchers on natural language parsing.

In the past, the problem of how people parse the sentences they hear - determine the identity of the words in these sentences and group these words into larger units - has been addressed in very different ways by experimental psychologists, by theoretical linguists, and by researchers in artificial.This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).

Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the .