CRFTagger is an English language open-source Conditional Random Field (CRF) tagger that boasts a 97% accuracy rating based on its development test set. It was trained on sections 01 to 24 of the WSJ corpus and can handle roughly 500 sentences per second.
If you're looking for a reliable and efficient CRF tagger for English, we highly recommend giving CRFTagger a try. This open source software boasts a 97.00% accuracy rate for tagging, thanks to the model being trained on sections 01..24 of the WSJ corpus, with section 00 serving as an excellent development test set.
One of the best things about CRFTagger is its astonishingly fast tagging speed, able to handle up to 500 sentences per second. This makes it ideal for use in time-sensitive applications where speed is of the essence, such as real-time language processing or large-scale data analysis.
Overall, CRFTagger is a solid choice for anyone in need of a high-performance CRF tagger with a proven track record of success in accurately tagging English text at lightning speed. Whether you're a researcher, developer, or data scientist, you're sure to appreciate the power and flexibility of this impressive tool.
One of the best things about CRFTagger is its astonishingly fast tagging speed, able to handle up to 500 sentences per second. This makes it ideal for use in time-sensitive applications where speed is of the essence, such as real-time language processing or large-scale data analysis.
Overall, CRFTagger is a solid choice for anyone in need of a high-performance CRF tagger with a proven track record of success in accurately tagging English text at lightning speed. Whether you're a researcher, developer, or data scientist, you're sure to appreciate the power and flexibility of this impressive tool.
What's New
Version 1.0: N/A