A module for tagging Corpus instances.

This module provides a default pos_tagger that can be used for POSTagging an English corpus:

>>> from orangecontrib.text.corpus import Corpus
>>> from orangecontrib.text.tag import AveragedPerceptronTagger
>>> corpus = Corpus.from_file('deerwester.tab')
>>> tagger = AveragedPerceptronTagger()
>>> tagged_corpus = tagger(corpus)
>>> tagged_corpus.pos_tags[0]  # you can use `pos_tags` attribute to access tags directly
['JJ', 'NN', 'NN', 'IN', 'NN', 'NN', 'NN', 'NNS']
>>> next(tagged_corpus.ngrams_iterator(include_postags=True))  # or `ngrams_iterator` to iterate over documents
['human_JJ', 'machine_NN', 'interface_NN', 'for_IN', 'lab_NN', 'abc_NN', 'computer_NN', 'applications_NNS']
class orangecontrib.text.tag.POSTagger(tagger)[source]

A class that wraps nltk.TaggerI and performs Corpus tagging.

class orangecontrib.text.tag.StanfordPOSTagger(*args, **kwargs)[source]
classmethod check(path_to_model, path_to_jar)[source]

Checks whether provided path_to_model and path_to_jar are valid.


ValueError – in case at least one of the paths is invalid.


Can raise an exception if Java Development Kit is not installed or not properly configured.


>>> try:
...    StanfordPOSTagger.check('path/to/model', 'path/to/stanford.jar')
... except ValueError as e:
...    print(e)
Could not find stanford-postagger.jar jar file at path/to/stanford.jar