Van Huyssteen, Gerhard B., and M. Davel. 2010. “Learning rules and categorization networks for language standardization.” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL) Workshop on Extracting and Using Constructions in Computational Linguistics:39-46.
Van Huyssteen & Davel 2010
2010, Afrikaans, cognitive grammar, computational morphology, construction grammar, morphological analysis, morphology
Abstract
In this research; we use machine learning techniques to provide solutions for descriptive linguists in the domain of language standardization. With regard to the personal name construction in Afrikaans; we perform function learning from word pairs using the Default&Refine algorithm. We demonstrate how the extracted rules can be used to identify irregularities in previously standardized constructions and to predict new forms of unseen words. In addition; we define a generic; automated process that allows us to extract constructional schemas and present these visually as categorization networks; similar to what is often being used in Cognitive Grammar. We conclude that computational modeling of constructions can contribute to new descriptive linguistic insights; and to practical language solutions.
Written in:
English
Dealing with:
Afrikaans
Keywords
Afrikaans, cognitive grammar, computational morphology, construction grammar, morphological analysis, morphology
Afrikaans keywords
Afrikaans, kognitiewe grammatika, konstruksiemorfologie, morfologie, morfologiese analise, rekenaarmorfologie