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- W2382290885 abstract "The characteristics of oral Microblogging text is studied to develop appropriate language rules,and the statistics and rules based methods are combined based on the statistical characteristics of the repeated string.First,the Microblogging corpus is segmented with the existing system dictionary.Then the new words that appear twice or more than twice are extracted from the sub-word fragments.Through the multilayer filtering,the candidate new words are recognized.The experimental results show that the method is effective in ensuring higher levels of precision and recall rate as well as the extraction speed of the new words." @default.
- W2382290885 created "2016-06-24" @default.
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- W2382290885 date "2014-01-01" @default.
- W2382290885 modified "2023-09-23" @default.
- W2382290885 title "Unsupervised model for Microblog new words detection based on repeated string" @default.
- W2382290885 hasPublicationYear "2014" @default.
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