Title The Statistical Analysis of Morphosyntactic Distributions
Author(s) Stefan Evert

IMS, University of Stuttgart

Session O33-TW
Abstract This paper describes methods for the statistical analysis of quantitative data on the distribution of morphosyntactic features. A key problem is the large amount of ambiguity in automatically extracted data. In the paper, I argue for a conservative approach that treats ambiguous instances as counter-evidence. It is nonetheless possible to obtain detailed morphosyntactic information from the corpus data with the help of partial disambiguation and by exploiting systematic ambiguity classes.
Keyword(s) Morphology, feature distributions, statistics
Language(s) German
Full Paper 781.pdf