基于词典的多语言分词与搜索引擎

Weng Yu, Chen Wenyi
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引用次数: 0

摘要

由于目前的搜索引擎多以中文和英文为基础,能够提供少数民族语言搜索服务的引擎非常少,准确率也很低。本文提出了一种基于词典的多语言分析器和搜索引擎,可用于分析和搜索维吾尔语、藏语、蒙古语、满语等少数民族语言的互联网信息。在对语料库进行预处理后,使用Lucene对语料库进行索引、分割。分割是基于我们的字典,并且很大程度上依赖于它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Dictionary-based Multi-language Segmentation and Search Engine
Because of the current search engines are mostly based on Chinese and English, the engines can provide the minority language search services are very small and the accuracy is low. We present a Dictionary-based multi-language Analyzer and Search Engine which can be used to analyze and search information on the Internet in minority languages such as Uighur, Tibetan, Mongol, Manchu etc. After preprocessed the Corpus we use Lucene to index, Segmentation. Segmentation is based on our dictionary and it depends much on it.
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