Empirical Discovery in Linguistics
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
A discovery system for detecting correspondences in data is described, based on the familiar induction methods of J. S. Mill. Given a set of observations, the system induces the ``causally'' related facts in these observations. Its application to empirical linguistic discovery is described.
Cite
@article{arxiv.cmp-lg/9506023,
title = {Empirical Discovery in Linguistics},
author = {Vladimir Pericliev},
journal= {arXiv preprint arXiv:cmp-lg/9506023},
year = {2008}
}
Comments
9 pages, LaTeX, in Working Notes of AAAI Spring Symposium Series, Symposium: Systematic Methods of Scientific Discovery, March 27-29, Stanford University