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Apache UIMA - Apache UIMA

Apache UIMA - Apache UIMA

index mnoGoSearch - Internet search engine software The Stanford NLP (Natural Language Processing) Group A Suite of Core NLP Tools About | Citing | Download | Usage | SUTime | Sentiment | Adding Annotators | Caseless Models | Shift Reduce Parser | Extensions | Questions | Mailing lists | Online demo | FAQ | Release history About Stanford CoreNLP provides a set of natural language analysis tools which can take raw text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, etc. Stanford CoreNLP is an integrated framework. Its goal is to make it very easy to apply a bunch of linguistic analysis tools to a piece of text. Citing Stanford CoreNLP If you're just running the CoreNLP pipeline, please cite this CoreNLP demo paper. Download Download Stanford CoreNLP version 3.5.2. GitHub: Here is the Stanford CoreNLP GitHub site. Usage Javadoc

Lucene - Apache Lucene Core Apache LuceneTM is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform. Apache Lucene is an open source project available for free download. Please use the links on the right to access Lucene. Lucene offers powerful features through a simple API: Scalable, High-Performance Indexing over 150GB/hour on modern hardwaresmall RAM requirements -- only 1MB heapincremental indexing as fast as batch indexingindex size roughly 20-30% the size of text indexed Powerful, Accurate and Efficient Search Algorithms Cross-Platform Solution Available as Open Source software under the Apache License which lets you use Lucene in both commercial and Open Source programs100%-pure JavaImplementations in other programming languages available that are index-compatible The Apache Software Foundation

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