Bibliography
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Bibliography - Machine-Aided Linguistic Discovery |
| 2. | Creator | Author's name, affiliation, country | Vladimir Pericliev; Bulgarian Academy of Sciences; |
| 3. | Subject | Discipline(s) | Linguistics |
| 4. | Subject | Keyword(s) | Saussurian; Greenbergian language; genetic language classifications; structural semantics; phonology; typology; historical linguistics; computational linguistics |
| 5. | Subject | Subject classification | Computational linguistics (CFX) |
| 6. | Description | Abstract | 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. Machine-Aided Linguistic Discovery will be of interest to linguists and to scholars working in the areas of computational linguistics, Artificial Intelligence and the philosophy of science. Bibliography |
| 7. | Publisher | Organizing agency, location | Equinox Publishing Ltd |
| 8. | Contributor | Sponsor(s) | |
| 9. | Date | (YYYY-MM-DD) | 01-Jan-2010 |
| 10. | Type | Status & genre | Peer-reviewed Article |
| 11. | Type | Type | |
| 12. | Format | File format | |
| 13. | Identifier | Uniform Resource Identifier | https://journals.equinoxpub.com/index.php/books/article/view/25602 |
| 14. | Identifier | Digital Object Identifier | 10.1558/equinox.25602 |
| 15. | Source | Journal/conference title; vol., no. (year) | Equinox eBooks Publishing; Machine-Aided Linguistic Discovery |
| 16. | Language | English=en | en |
| 18. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 19. | Rights | Copyright and permissions | Copyright 2014 Equinox Publishing Ltd |