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- W2374080798 abstract "At present,the unlisted words remains affect the efficiency of information retrieval and automatic indexing largely.This article presents a new method to identify new words by using tides and abstracts of jour- nal articles as training material,segmenting materials by N-gram algorithm and filtering words through stop word list.This method includes two main steps.Firstly,we need N-gram segmentation,get keywords can- didates.Then do a series of filtration by words' frequency threshold,front--stop--list and back-stop --list,adjacent word comparison,father and child word comparison,extracting vocabulary and filtervo- cabulary.The final is manual discrimination.The evaluation of the experiment results shows this method is easy and feasible.The training material could not use full text,just use title and abstract.In the identifica- tion of new words,the abstract can instead of title." @default.
- W2374080798 created "2016-06-24" @default.
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- W2374080798 date "2007-01-01" @default.
- W2374080798 modified "2023-09-28" @default.
- W2374080798 title "An Experiment of New Words Identification Based on Vocabulary and N-gram Algorithm" @default.
- W2374080798 hasPublicationYear "2007" @default.
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