Some theoretical and experimental observerations on naive discriminative learning (Updated version)

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URI: http://hdl.handle.net/10900/67757
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-677573
http://dx.doi.org/10.15496/publikation-9177
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Date: 2016-01-18
Language: English
Faculty: 5 Philosophische Fakultät
5 Philosophische Fakultät
Department: Allgemeine u. vergleichende Sprachwissenschaft
DDC Classifikation: 400 - Language and Linguistics
Keywords: Linguistik
License: Publishing license including print on demand
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Inhaltszusammenfassung:

Natural language use is full of choices among multiple possible alternatives, whether phones, words, or constructions, which are influenced by a large number of contextual factors, and which rather exhibit asymptotic, imperfect tendencies favoring one or more of the alternatives, instead of single, categorical, perfect choices. This contrasts with item-by-item learning in simple controlled experiments which typically have been modelled by the Rescorla-Wagner equations. We find the former "messy" types of problems as a key area of interest in modeling and understanding language use, and consequently consider the application of the Rescorla-Wagner equations in the form of a Naive Discriminative Learning classifier to such complex phenomena of considerable utility in linguistic research. This is an updated version. (Previous version: http://dx.doi.org/10.15496/publikation-8620)

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