Part-of-speech tagger for English natural language processing
The module is a probability based, corpus-trained tagger that assigns POS tags to English text based on a lookup dictionary and a set of probability values. The tagger assigns appropriate tags based on conditional probabilities - it examines the preceding tag to determine the appropriate tag for the current word. Unknown words are classified according to word morphology or can be set to be treated as nouns or other parts of speech.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.31-15.fc40 | - |
Fedora 40 | 0.31-15.fc40 | - |
Fedora 39 | 0.31-13.fc39 | - |
Fedora 38 | 0.31-12.fc38 | - |
You can contact the maintainers of this package via email at
perl-Lingua-EN-Tagger dash maintainers at fedoraproject dot org
.