@misc{Mikheev:98,
	title = {Part-of-{Speech} {Guessing} {Rules}: {Learning} and {Evaluation}},
	abstract = {In this paper we report on a set of computational
tools with (n)sgml pipeline data flow for uncovering
internal structure in natural language texts. The main
idea behind the workbench is the independence of the
text representation and text analysis phases. At the
representation phase the text is converted from a
sequence of characters to features of interest by means
of the annotation tools. At the analysis phase those
features are used by statistics gathering and inference
tools for nding signi cant correlations in the texts.
The analysis tools are independent of particular
assumptions about the nature of the feature-set and
work on the abstract level of feature elements
represented as sgml items.},
	author = {Mikheev, A},
	year = {1998},
}

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