LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like:

• Find the names of people, organizations or locations in news
• Automatically classify Twitter search results into categories
• Suggest correct spellings of queries

To get a better idea of the range of possible LingPipe uses, visit our tutorials and sandbox.

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.