Abstract
We extract nouns and corresponding cooccurrent targeted context features from a large corpus of Dutch language newspaper articles, from 1950s through the 1990s. Applying a well-established approach for scoring context feature and centre word associativity, we explore using the scores in the task of identifying key characteristics of known–charged terminology.
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