Terrier Flexible search engine for everyone
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Terrier Description

The Terrier software is a flexible, efficient and effective search engine. The application is readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Main features: Efficient: Terrier can index large corpora of documents, and provides multiple indexing strategies, such as multi-pass, single-pass and large-scale MapReduce indexing. Effective: State-of-the-art retrieval approaches are provided, such as Divergence From Randomness, BM25F, as well as term dependence proximity models such as Markov Random Fields. Flexible: Terrier is ideal for performing information retrieval experiments. It can index and perform batch retrieval experiments for all known TREC test collections. Tools to evaluate experiments results are also included. Multi-lingual: Terrier uses UTF internally, and can support corporas written in languages other than English. Extensible: Terrier follows a plugin architecture, and is easy to extend to develop new retrieval techniques. Interactive: View search results in a handy desktop search application, or online from a JSP web interface.

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