Machine-aided linguistic discovery
Subtitle: an introduction and some examples
By: Vladimir Pericliev.
Publisher: Equinox Pub. Ltd
Published: 2010
Place of publication: Oakville, CT
Language: eng
Number of pages: 416
ISBN-13: 9781845536602
Subjects: Computational linguistics
Description: "Solving linguistic problems frequently reduces to carrying out tasks that are computationally complex and therefore requires automation. This book is an introduction to machine-aided linguistic discovery, a novel research area, and argues for the fruitfulness of the computational approach by presenting a basic conceptual apparatus and several intelligent discovery programs. One of the programs models the fundamental Saussurian notion of 'system' and thus, almost a century after the introduction of this concept and structuralism in general, linguists are for the first time capable of handling adequately this recurring computationally complex task. Another program models the problem of searching for Greenbergian language universals and is capable of stating its discoveries in an intelligible form, a comprehensive English language text. It is the first computer program to generate a whole scientific article. A third program detects potential inconsistencies in genetic language classifications. These, and the other programs described in this book, are applied with noteworthy results to substantial problems from diverse linguistic disciplines such as structural semantics, phonology, typology and historical linguistics."--Publisher's description.
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction; title: 1. Introducing the basic notions; title: 2. Parsimonious discrimination I: KINSHIP and the problem of componential analysis; title: 3. Parsimonious discrimination II: MPD and other applications; title: 4. Inferring plausible laws/patterns I: UNIVAUTO and the problem of language universals; title: 5. Inferring plausible laws/patterns II: UNIVAUTO and implicational phonological universals; title: 6. Inferring simplest laws/patterns: MINTYP and the problem of describing a typology; title: 7. Detecting significant similarities: RECLASS and the problem of genetic language classification; title: 8. Concluding remarks; title: References; title: Index.