Finding the better indexing units for Chinese information retrieval

  • Authors:
  • Hongzhao He;Pilian He;Jianfeng Gao;Changning Huang

  • Affiliations:
  • Tianjin University, Tianjin, China;Tianjin University, Tianjin, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China

  • Venue:
  • SIGHAN '02 Proceedings of the first SIGHAN workshop on Chinese language processing - Volume 18
  • Year:
  • 2002

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Abstract

In the processing of Chinese documents and queries in information retrieval (IR), one has to identify the units that are used as indexes. Words and n-grams had been used as indexes in several previous studies, which showed that both kinds of indexes lead to comparable IR performances. In this study, we carried out more experiments to find the better way to index Chinese texts. First, we investigated the inpacts on IR performance of the accuracy of word segmentation. Second, fifteen different groups of indexing units, which were the possible combination of words and character n-grams, were discussed detailedly. Experiments showed that better segmentation results in better IR performances, and a combination of words with uni-grams is the better choice to index Chinese texts for IR.