Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Distributional memory: A general framework for corpus-based semantics
Computational Linguistics
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In the recognition of words that are typical of a specific language variety, the classic keyword approach performs rather poorly. We show how this keyword analysis can be complemented with a word space model constructed on the basis of two corpora: one representative of the language variety under investigation, and a reference corpus. This combined approach is able to recognize the markers of a language variety as words that not only have a significantly higher frequency as compared to the reference corpus, but also a different distribution. The application of word space models moreover makes it possible to automatically discover the lexical alternative to a specific marker in the reference corpus.