Statistical measures of word similarity are widely used in many areas of information retrieval
and text mining. Among popular word co-occurrence based measures is Pointwise Mutual …

Recurrent voice-leading patterns like the Mi-Re-Do compound cadence (MRDCC) rarely
appear on the musical surface in complex polyphonic textures, so finding these patterns …

Existing term extraction systems have predominantly targeted large and well-written
document collections, which provide reliable statistical and linguistic evidence to support …

A Word is the smallest unit for text analysis, and the premise behind most text-mining
algorithms is that the words in given documents can be perfectly recognized. However, the …

The prospects for automatically identifying two-word multiwords in corpora have been
explored in depth, and there are now well-established methods in widespread use.(We use …

The application of word associations has become increasingly widespread. However, the
association norms produced by traditional free association tests tend not to exceed 10,000 …

Purpose A number of approaches and algorithms have been proposed over the years as a
basis for automatic indexing. Many of these approaches suffer from precision inefficiency at …

The thesis located in corpus linguistics analyzes the acquisition of coselectional constraint in
learners of German as a second language in a quasi-longitudinal design based on the …

Collocations–word combinations occurring together more often than by chance–have a wide
range of NLP applications. Many approaches for automating collocation extraction based on …

Advance technology development and wide use of the World Wide Web have made it
possible for new product development organizations to access multi‐sources of data‐related …