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Learning implicational models of universal grammar parameters
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Machine Learning Models of Universal Grammar Parameter Dependencies
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Mathematical modeling of grammatical diversity supports the historical reality of formal syntax ...
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| 7 |
Mathematical modeling of grammatical diversity supports the historical reality of formal syntax
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Abstract:
Recent studies have taken advantage of computational techniques to investigate the evolution of Indo-European languages [1-3]. However, these methods are not able to overcome the time constraints on lexical evolution, which limit a broader application of the Classical Comparative Method, and therefore cannot be used above the family level. For this reason, evidence from cross-family relationships must come from other domains (e.g. phonetics, [4, 5]). Reference [6] shows that another domain, syntax, is a potential source for cross-family comparison. In this paper, we evaluate the method proposed in [6], the PCM, and argue through a random generation of possible grammars that syntactic distances can be useful to detect signals of historical relatedness above the Indo-European level, within some confidence probabilistic intervals.
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Keyword:
400; comparative linguistics; Grammatik; Historische Sprachwissenschaft; Indo-European languages; phylogenetics; Phylogenetik; principles and parameters; Syntax
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URL: https://doi.org/10.15496/publikation-10122
http://hdl.handle.net/10900/68704
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-687044
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| 10 |
On Location: The Structure of Case and Adpositions
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In: Doctoral Dissertations (2010)
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