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Inferring Simplest Laws/Patterns: MINTYP and the Problem of Describing a Typology


 
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1. Title Title of document Inferring Simplest Laws/Patterns: MINTYP and the Problem of Describing a Typology - 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 Given a dataset, a common problem in scientific knowledge discovery is to summarize this set by a collection of rules (laws, patterns, etc.) such that the resultant description is the simplest, or most economic. In linguistics, the problem occurs e.g. in attempts to describe a linguistic typology in terms of the smallest set of implicational universals that allow all actually attested, and none of the unattested, language types. In this chapter, I introduce the MINTYP (Minimum TYPological description) program, which handles this problem, illustrating it on the typologies in Greenberg’s Appendix II (Greenberg 1966a) and Hawkins’ Expanded Sample (Hawkins 1983).
 
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 PDF
 
13. Identifier Uniform Resource Identifier https://journals.equinoxpub.com/index.php/books/article/view/25591
 
14. Identifier Digital Object Identifier 10.1558/equinox.25591
 
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