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- W2172474838 abstract "Corpus-based methods are now dominant in Natural Language Processing (NLP).Creating big corpora is no longer difficult and the technology to analyze them isgrowing faster, more robust and more accurate. However, when an NLP applicationperforms well on one corpus, it is unclear whether this level of performance wouldbe maintained on others. To make progress on these questions, we need methodsfor comparing corpora. This thesis investigates comparison methods based on thenotions of corpus homogeneity and similarity." @default.
- W2172474838 created "2016-06-24" @default.
- W2172474838 creator A5054110408 @default.
- W2172474838 date "2005-07-01" @default.
- W2172474838 modified "2023-09-26" @default.
- W2172474838 title "Measuring the homogeneity and similarity of language corpora" @default.
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