Indexing metadata

Inferring Plausible Laws/Patterns I: UNIVAUTO and the Problem of Language Universals


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Inferring Plausible Laws/Patterns I: UNIVAUTO and the Problem of Language Universals - 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 In this chapter is described a discovery program, called UNIVAUTO (UNIVersals AUthoring TOol), which discovers and verbalizes in English its discoveries. Accepting as input information about languages, presented in terms of feature-values, the discoveries of another human agent arising from the same data, as well as some additional data, the program discovers the universals in the data, compares them with the discoveries of the human agent and, if appropriate, generates a report in English on its discoveries. Running UNIVAUTO on the data from the paper by Greenberg (1966a) on word order universals, the system has produced several linguistically valuable texts, two of which were published in a refereed linguistic journal. Other discoveries of the system that do not involve verbalization will also be sketched in the chapter.
 
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/25579
 
14. Identifier Digital Object Identifier 10.1558/equinox.25579
 
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