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Dublin Core |
PKP Metadata Items |
Metadata for this Document |
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1. |
Title |
Title of document |
Introducing the Basic Notions - Machine-Aided Linguistic Discovery |
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2. |
Creator |
Author's name, affiliation, country |
Vladimir Pericliev; Bulgarian Academy of Sciences; |
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3. |
Subject |
Discipline(s) |
Linguistics |
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4. |
Subject |
Keyword(s) |
Saussurian; Greenbergian language; genetic language classifications; structural semantics; phonology; typology; historical linguistics; computational linguistics |
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5. |
Subject |
Subject classification |
Computational linguistics (CFX) |
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6. |
Description |
Abstract |
Machine, or machine-aided, linguistic discovery is a discipline concerned with the automated solving of (substantial parts) of important linguistic problems. In this chapter, I introduce some preliminary notions, using as illustrations four famous discoveries from the history of linguistics, viz. Saussure’s discovery of the concept of “linguistic system”, Jones’s discovery of Indo-European, Greenberg’s implicational universals, and Verner’s law. I define linguistic discovery and look at objects and types of linguistic discovery, then discuss the major factors for discovery: intuition, chance, and problem solving. Previous attempts at automating the (linguistic) discovery process are briefly reviewed, and the central notion of “task of linguistic discovery” is introduced. |
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7. |
Publisher |
Organizing agency, location |
Equinox Publishing Ltd |
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8. |
Contributor |
Sponsor(s) |
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9. |
Date |
(YYYY-MM-DD) |
01-Jan-2010 |
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10. |
Type |
Status & genre |
Peer-reviewed Article |
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11. |
Type |
Type |
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12. |
Format |
File format |
PDF |
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13. |
Identifier |
Uniform Resource Identifier |
https://journals.equinoxpub.com/index.php/books/article/view/25564 |
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14. |
Identifier |
Digital Object Identifier |
10.1558/equinox.25564 |
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15. |
Source |
Journal/conference title; vol., no. (year) |
Equinox eBooks Publishing; Machine-Aided Linguistic Discovery |
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16. |
Language |
English=en |
en |
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18. |
Coverage |
Geo-spatial location, chronological period, research sample (gender, age, etc.) |
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19. |
Rights |
Copyright and permissions |
Copyright 2014 Equinox Publishing Ltd |