This paper describes a method of comparing corpora which uses frequency profiling. The
method can be used to discover key words in the corpora which differentiate one corpus …

In this paper we present a method for detecting the text genre quickly and easily following an
approach originally proposed in authorship attribution studies which uses as style markers …

Frequency information on co-occurrence patterns can be atttomatically collected from a
syntactically analyzed corpus; this information can then serve as the basis for selectional …

The effect of selecting varying numbers and kinds of features for use in predicting category
membership was investigated on the Reuters and MUC-3 text categorization data sets …

How similar are two corpora? A measure of corpus similarity would be very useful for
lexicography and language engineering. Word frequency lists are cheap and easy to …

We present a simple method for identifying keywords of one corpus vs. another. There is no
one-sizefits-all list, but different lists according to the frequency range the user is interested …

Text categorization is a fundamental task in document processing, allowing the automated
handling of enormous streams of documents in electronic form. One difficulty in handling …

A linguistic technique for the content analysis of texts and transcripts is described and
illustrated. The technique produces a quantitative description of texts that represents both …

Multi-word terms are traditionally identified using statistical techniques or, more recently,
using hybrid techniques combining statistics with shallow linguistic information. Approaches …

This chapter describes methods of carrying out research into small corpora, a method within
reach of the language student, teacher or analyst working at home with a standard personal …