A Mongolian Information Retrieval System Based on Solr

被引：0

作者：

Ma, Lujia ^{[1
,2
]}

Bao, Wei ^{[2
]}

Bao, Wugedele ^{[2
]}

Yuan, Wuriga ^{[2
]}

Huang, Tao ^{[1
,2
]}

Zhao, XiaoBing ^{[1
,2
]}

机构：

[1] Minzu Univ China, Sch Informat Engn, Beijing, Peoples R China

[2] Minzu Univ China, Natl Language Resource Monitoring & Res Ctr Minor, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) | 2017年

基金：

美国国家科学基金会;

关键词：

Mongolian; Information retrieval; Solr;

D O I：

10.1109/ICMTMA.2017.86

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A Mongolian Information Retrieval System based on Solr is proposed in this paper. The system implements the retrieval of Mongolian data store in our local machine. Firstly, in this paper, we built a Mongolian corpus with one million words, which has been corrected manually. Secondly, after being transcoded, theses data was represented by Latin characters. Finally, we used Solr to build indexes and documents so that we do queries on millions of data within seconds.

引用

页码：335 / 338

页数：4

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