THE JOHNS HOPKINS UNIVERSITY Jerboa: A Toolkit for Randomized and Streaming Algorithms

Recent studies have shown the applicability of streaming and randomized algorithms in a variety of large-scale language mining tasks. However, lack of many publicly available implementations of these methods has limited the use of these techniques beyond initial proof-of-concept, despite the growing interest in large-scale data. Jerboa is a Java-based toolkit aimed at providing reference implementations of a number of methods seen in recent literature, meant at enabling a greater adoption of these techniques for tasks in human language technology.