LingPipe NLP Toolkit
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A LingPipe NLP Toolkit is a Java-based NLP toolkit.
- AKA: LingPipe.
- Context:
- Is developed by Alias-i Inc., since 2003?
- It can be used to create an LingPipe-based NLP System, such as a LingPipe-based pProtein NER system.
- It can be composed of:
- Example(s):
- Counter-Example(s):
- See: Named Entity Recognition System.
References
2011
- http://alias-i.com/lingpipe/
- 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
- … 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.
- LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like: