Measuring Historical Word Sense Variation

Bamman, David
Crane, Gregory

We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of known translation book pairs to induce a bilingual sense inventory and labeled training data for a WSD classifier, we are able to automatically classify the Latin word senses in a 389 million word corpus and track the rise a... read more

Text mining
Perseus Project
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