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        "author": "William Michael Short",
        "author_email": "w.short@exeter.ac.uk",
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        "description": "============\nMultiWordNet\n============\n\nBackground\n----------\nA WordNet is a lexico-conceptual database for a language. In a WordNet, a language's lexemes (nouns, verbs, adjectives, and adverbs) are grouped into sets of semantically related words called synsets (for \"synonym sets\"), which thus correspond to the senses that are lexicalized in the language. A WordNet also typically includes information about semantic relations (i.e., relations between synsets) and about lexical relations (i.e., relations between words).\n\nCreated by Stefano Minozzi between 2004 and 2008 as part of the Fondazione Bruno Kessler's MultiWordNet, the original Latin WordNet contained 9,124 lemmas drawn from Riganti's Lessico Fondamentale Latino. The University of Exeter's TExtual Project aims to build on and expand Minozzi's work by adding some 30,000 words, covering the Latin language from the archaic period to late antiquity (and somewhat beyond).\n\nInstallation\n------------\nTo get setup, all you need to do is compile the relevant SQLite databases:\n\n``from multiwordnet.db import compile``\n``compile('latin')``\n\nYou will need to do the same for the English and Italian synset databases:\n\n``compile('english', 'synset')``\n``compile('italian', 'synset')``\n\nTo make full use of the semantic data that is included in the MultiWordNet, you will also want to compile the list of common relations and semfield hierarchy:\n\n``compile('common')``\n\nBasic usage\n-----------\n\n``from multiwordnet.wordnet import WordNet``\n\n``LWN = WordNet('latin')``\n``for lemma in LWN.lemmas:  # all the lemmas currently in the WordNet``\n``   print(lemma.lemma, lemma.pos)``\n``abalieno = LWN.get_lemma('abalieno', 'v')  # this gives you access to a single lemma``\n``abalieno.synonyms  # all lemmas that share a synset with 'abalieno'``\n``abalieno.antonyms``\n``abalieno.derivates  # use .get_derivates('n') to restrict by POS``\n``abalieno.relatives  # use .get_relatives('n') to restrict by POS``\n``abalieno.synsets``\n``LWN.get('abalien', strict=False)  # returns a list of lemmas using wildcard matching``\n``LWN.get('abalien', pos='v', strict=False)  # restrict the results to verbs``\n``synset = LWN.get_synset('n#07462736')  # you can find a synset directly, if you know its offset ID``\n``synset.lemmas``\n\n``LWN.get_relations(source=synset)  # all semantic relations where 'synset' is the source``\n``LWN.get_relations(source=synset, type='@')  # restrict to hyponymy relations``\n\nRelations are of the following types:\nNoun relations\n--------------\nSemantic:\n! 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