LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like to find the names of people, organizations or locations in news, automatically classify Twitter search results into categories and suggest correct spellings of queries.
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.