LingPipe 3.9.2

LingPipe is a suite of Java libraries

Feature Overview

LingPipe's information extraction and data mining tools:

• track mentions of entities (e.g. people or proteins);
• link entity mentions to database entries;
• uncover relations between entities and actions;
• classify text passages by language, character encoding, genre, topic, or sentiment;
• correct spelling with respect to a text collection;
• cluster documents by implicit topic and discover significant trends over time; and
• provide part-of-speech tagging and phrase chunking.

Architecture

LingPipe's architecture is designed to be efficient, scalable, reusable, and robust. Highlights include:

• Java API with source code and unit tests;
• multi-lingual, multi-domain, multi-genre models;
• training with new data for new tasks;
• n-best output with statistical confidence estimates;
• online training (learn-a-little, tag-a-little);
• thread-safe models and decoders for concurrent-read exclusive-write (CREW) synchronization; and
• character encoding-sensitive I/O.