Open Source Text Processing Project: LingPipe

Deep Learning Specialization on Coursera

LingPipe

Project Website: http://alias-i.com/lingpipe/

Github Link: None

Description

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.


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