Inflectional Defaults and Principal Parts: an Empirical Investigation

Brown, DP and Evans, R Inflectional Defaults and Principal Parts: an Empirical Investigation In: 17th International Conference on Head-Driven Phrase Structure Grammar HPSG10, pp. 234-254. [Available at: http://csli-publications.stanford.edu/HPSG/2010/toc.shtml], 2010-07-07 - 2010-07-10, Université Paris Diderot, Paris 7, France.

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Abstract

We describe an empirical method to explore and contrast the roles of default and principal part information in the differentiation of inflectional classes. We use an unsupervised machine learning method to classify Russian nouns into inflectional classes, first with full paradigm information, and then with particular types of information removed. When we remove default information, shared across classes, we expect there to be little effect on the classification. In contrast when we remove principal part information we expect there to be a more detrimental effect on classification performance. Our data set consists of paradigm listings of the 80 most frequent Russian nouns, generated from a formal theory which allows us to distinguish default and principal part information. Our results show that removal of forms classified as principal parts has a more detrimental effect on the classification than removal of default information. However, we also find that there are differences within the defaults and principal parts, and we suggest that these may in part be attributable to stress patterns.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Authors :	Name Email ORCID Brown, DP d.brown@surrey.ac.uk UNSPECIFIED Evans, R UNSPECIFIED UNSPECIFIED
Contributors :	Contribution Name Email ORCID UNSPECIFIED Müller, S UNSPECIFIED UNSPECIFIED publisher CSLI, UNSPECIFIED UNSPECIFIED
Uncontrolled Keywords :	principal parts, defaults, morphology
Related URLs :	Publisher
Depositing User :	Symplectic Elements
Date Deposited :	16 May 2017 15:03
Last Modified :	17 May 2017 14:30
URI:	http://epubs.surrey.ac.uk/id/eprint/816893

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