Statistical termhood measurement for mono-word terms via corpus comparison

This paper examines the performance of a number of statistical measures for mono-word termhood within a corpus comparison framework. These measures are defined in terms of the frequency, information, and rank of a term candidate in a domain and a background corpus. The evaluation results from our experiments reveal interesting characteristics of each metric and verify the outstanding performance of those based on enhanced rank and information in identifying true terms.