Ease of use: Stanford CoreNLP vs. OpenNLP

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Pratik Thaker picture Pratik Thaker · Jul 6, 2011 · Viewed 19.8k times · Source

I looking to use a suite of NLP tools for a personal project, and I was wondering whether Stanford's CoreNLP is easier to use or OpenNLP. Or is there another free package you would reccomend? I haven't really done any NLP before, so I am looking for something that I can quickly use to learn the concepts and prototype my ideas. Any help is appreciated.

Answer

Christopher Manning picture Christopher Manning · Aug 15, 2011

My opinion on which is easier to use is biased, but regarding Ivan Akcheurov's answer, we only released Stanford CoreNLP in Oct 2010, so it isn't very old. Regarding his suggestions, it seems to depend on whether you want to be using a higher-level processing framework or actual processing tools. E.g., if you poke around Knime, it appears that the only NLP components included are actually OpenNLP ones, and most of the machine learning is wrapping Weka.... For groups of individual tools that work together, Stanford NLP, OpenNLP, NLTK, and Lingpipe are perhaps the main choices.

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