New approach of smoothing to extend language model in Lucene

Sylia Amarouche, Sabrina Mostefai, Fatiha Amirouche, Said Talbi
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引用次数: 0

Abstract

This paper focuses on extending Information Retrieval (IR) API named Lucene by implementing various smoothing techniques. Lucene is a free API written entirely in JAVA. It allows to create an indexing and search engine for textual files. Our contribution has two parts: first, we propose a smoothing approach that we integrated into Lucene’s language model in order to improve its search abilities. The suggested approach is based on a combination of algorithms already implemented in Lucene. Next, we have implemented the Absolute Discount smoothing approach and integrated it into Lucene’s language model. Our proposed approaches have been evaluated in information retrieval on test collection. Our contribution yielded very good search results in some cases compared to other approaches implemented in Lucene.
Lucene中平滑扩展语言模型的新方法
本文着重于通过实现各种平滑技术来扩展名为Lucene的信息检索API。Lucene是一个完全用JAVA编写的免费API。它允许为文本文件创建索引和搜索引擎。我们的贡献有两部分:首先,我们提出了一种平滑方法,我们将其集成到Lucene的语言模型中,以提高其搜索能力。建议的方法是基于Lucene中已经实现的算法的组合。接下来,我们实现了绝对折扣平滑方法,并将其集成到Lucene的语言模型中。我们提出的方法已经在测试集信息检索中得到了评价。与Lucene中实现的其他方法相比,我们的贡献在某些情况下产生了非常好的搜索结果。
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