论文信息 - A Comparative Study on English-Chinese Bilingual News Document Clustering

A Comparative Study on English-Chinese Bilingual News Document Clustering

Bilingual or multilingual document clustering is a valuable research. Based on monolingual algorithm, the paper makes a comparative study on monolingual-based clustering and bilingual-based clustering by using the corpus of English-Chinese bilingual news text. The experimental results show that mixed language-based method can make a better and more stable performance.

Dongbo Wang | Yanyun Liu | Pu Han | Gaofei Lu

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