Copyright 2010-2012 Benjamin Van Durme. All rights reserved. This software is released under the 2-clause BSD license. See jerboa/LICENSE, or http://cs.jhu.edu/~vandurme/jerboa/LICENSE

Jerboa

Introduction

Jerboa is a package for prototyping randomized/streaming algorithms and data structures, primarily intended for HLT applications. As of the time of this writing much of the library is Java-based: not for efficiency, but for ease of integration in other research NLP projects. C versions exist for some subsets of the library, which may be distributed in the future.

I am unlikely to respond to emails asking for support, but if you feel you've discovered a bug (not too unlikely), or have something you'd like to contribute, then feel free to issue a pull request via GitHub.

To reference this package in academic writing:

@TechReport{Jerboa:TR:2012,
	author =       {Benjamin {Van Durme}},
	title =        {Jerboa: A Toolkit for Randomized and Streaming Algorithms},
	institution =  {Human Language Technology Center of Excellence, Johns Hopkins University},
	year =         {2012},
	number =       {7}
}

which can be found at: http://cs.jhu.edu/~vandurme/papers/JerboaTR2012.pdf .

Requirements

Jerboa requires the following:

• Java, 1.6 or greater
• Maven, 3.0.4 or greater

Installation

mvn package - build a jar

mvn install - will install the plugin to your local repository.

Adding to your project

<dependency>
  <groupId>edu.jhu.jerboa</groupId>
  <artifactId>jerboa</artifactId>
  <version>1.0.0</version>
</dependency>

At this time, we do not have this hosted on a public maven server.