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Carafe is an implementation of ConditionalRandom Fields and related algorithms targeted at text processing applications. The latest version, jCarafe, is implemented in Scala and runs on the JVM.
Conrad is both a high performance ConditionalRandomField engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
JVnSegmenter is a Java-based and open-source Vietnamese word segmentation tool. The segmentation model was trained on about 8,000 sentences using ConditionalRandom Fields (FlexCRFs). This tool would be useful for Vietnamese NLP community.
CRFChunker: ConditionalRandom Fields Phrase Chunker (Phrase Chunking Tool) for English. The model was trained on sections 01..24 of WSJ corpus and using section 00 as the development test set (F1-score of 95.77). Chunking speed: 700 sentences/s
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CRFTagger: ConditionalRandom Fields Part-of-Speech (POS) Tagger for English. The model was trained on sections 01..24 of WSJ corpus and using section 00 as the development test set (accuracy of 97.00%). Tagging speed: 500 sentences/s.
UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and ConditionalRandom Fields.