Statistical vs. Rule-based stemming for monolingual french retrieval

被引：0

作者：

Majumder, Prasenjit ^{[1
]}

Mitra, Mandar ^{[1
]}

Datta, Kalyankumar ^{[2
]}

机构：

[1] Indian Stat Inst, CVPR Unit, Kolkata, India

[2] Jadavpur Univ, Dept EE, Kolkata, India

来源：

EVALUATION OF MULTILINGUAL AND MULTI-MODAL INFORMATION RETRIEVAL | 2007年 / 4730卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes our approach to the 2006 Adhoc Monolingual Information Retrieval run for French. The goal of our experiment was to compare the performance of a proposed statistical stemmer with that of a rule-based stemmer, specifically the French version of Porter's stemmer. The statistical stemming approach is based on lexicon clustering, using a novel string distance measure. We submitted three official runs, besides a baseline run that uses no stemming. The results show that stemming significantly improves retrieval performance (as expected) by about 9-10%, and the performance of the statistical stemmer is comparable with that of the rule-based stemmer.

引用

页码：107 / +

页数：2

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