Natural Language Processing: Python and NLTK

Generation of the synset id from Wordnet

Wordnet may be defined as an English lexical database. The conceptual dependency between words, such as hypernym, synonym, antonym, and hyponym, can be found using synsets.

Consider the following code in NLTK for the generation of synsets:

def all_synsets(self, pos=None): """Iterate over all synsets with a given part of speech tag. If no pos is specified, all synsets for all parts of speech will be loaded. """ if pos is None: pos_tags = self._FILEMAP.keys() else: pos_tags = [pos] cache = self._synset_offset_cache from_pos_and_line = self._synset_from_pos_and_line # generate all synsets for each part of speech for pos_tag in pos_tags: # Open the file for reading. Note that we can not re-use # the file poitners ...