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Terrier Features

Below, you can find a list of features offered by Terrier.

Open Source (Mozilla Public Licence).
Written in cross-platform Java.
Highly compressed disk data structures.
Handling large-scale document collections.
Direct file for efficient query expansion.
Modular and open indexing and querying APIs.
Testbed for indexing and retrieval from standard TREC test collections.
Interactive querying application.
Desktop search application for searching various types of documents.
Input/output of gamma, unary and binary encoded integers for compressing streams or random access files.
Standard evaluation of TREC ad-hoc and known-item search retrieval results.
Indexing of tagged document collections, as well as documents of various formats, such as HTML, PDF, or Microsoft Word, Excel and Powerpoint files.
Indexing of field information.
Indexing of position information on a word, or a block level.
Support for classic retrieval models, such as tf-idf, BM25 and Ponte-Croft language model, and Rocchio's query expansion.
Provides a number of Divergence From Randomness (DFR) document ranking models.
Provides a number of parameter-free DFR term weighting models for automatic query expansion.
Advanced query language that supports boolean operators, phrase and proximity search, and fields.
Flexible processing of terms through a pipeline of components, such as stop-words removers and stemmers.