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This module builds the CRF++ as a native addon, providing an entry point to this library through the CrfTest class. With this class, users can access functionality similar to what is normally provided by the crf_test.exe executable. Additionally, helper functions that return tagged data in the form of lists and objects are provided as a convenience for further result processing.
Note: Currently, the functionality provided by crf_learn.exe is not implemented. This means that a pre-generated model file is required. See test/test-node-crfpp.js for example usage.
Requires node-gyp: https://github.com/nodejs/node-gyp#installation
$ npm install --save node-crfpp
Utilize the API provided in CrfTest. The toString function will return the same string result that crf_test.exe would based on the input parameters provided to the CrfTest constructor. The various decode* functions provide the same results, but in a more structured form.
const CrfTest = require('node-crfpp').CrfTest
modelPath = path.resolve('./model_file');
classifier = new CrfTest(`-m ${modelPath} -v2 -n4`);
// words and TAGs separated with '\t'
classifier.toString(["word1 POS_TAG", "word2 POS_TAG"]);
FAQs
Wrapper of the CRF++ library
We found that node-crfpp demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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