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Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based truecaser which achieves an accuracy of on news articles. Task based evaluation shows a 26% F-measure improvement in named entity recognition when using truecasing.
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Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based truecaser which achieves an accuracy of on news articles. Task based evaluation shows a 26% F-measure improvement in named entity recognition when using truecasing.
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