Metadata-Version: 1.2
Name: multiwordnet
Version: 0.1.3
Summary: A helper library for accessing and manipulating WordNets in the MultiWordNet
Home-page: UNKNOWN
Author: William Michael Short
Author-email: w.short@exeter.ac.uk
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Description: 
        .. image:: https://travis-ci.org/wmshort/multiwordnet.svg?branch=master
            :target: https://travis-ci.org/wmshort/multiwordnet
        
        ============
        MultiWordNet
        ============
        
        Background
        ----------
        A 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).
        
        Created 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).
        
        Installation
        ------------
        To get setup, all you need to do is compile the relevant SQLite databases:
        
        ``from multiwordnet.db import compile``
        ``compile('latin')``
        
        You will need to do the same for the English and Italian synset databases:
        
        ``compile('english', 'synset')``
        ``compile('italian', 'synset')``
        
        To 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:
        
        ``compile('common')``
        
        Basic usage
        -----------
        
        ``from multiwordnet.wordnet import WordNet``
        
        ``LWN = WordNet('latin')``
        ``for lemma in LWN.lemmas:  # all the lemmas currently in the WordNet``
        ``   print(lemma.lemma, lemma.pos)``
        ``abalieno = LWN.get_lemma('abalieno', 'v')  # this gives you access to a single lemma``
        ``abalieno.synonyms  # all lemmas that share a synset with 'abalieno'``
        ``abalieno.antonyms``
        ``abalieno.derivates  # use .get_derivates('n') to restrict by POS``
        ``abalieno.relatives  # use .get_relatives('n') to restrict by POS``
        ``abalieno.synsets``
        ``LWN.get('abalien', strict=False)  # returns a list of lemmas using wildcard matching``
        ``LWN.get('abalien', pos='v', strict=False)  # restrict the results to verbs``
        ``synset = LWN.get_synset('n#07462736')  # you can find a synset directly, if you know its offset ID``
        ``synset.lemmas``
        
        ``LWN.get_relations(source=synset)  # all semantic relations where 'synset' is the source``
        ``LWN.get_relations(source=synset, type='@')  # restrict to hyponymy relations``
        
        Relations are of the following types:
        Noun relations
        --------------
        Semantic:
        !   antonym
        @   hypernym
        ~   hyponym
        #m    member-of
        #s    substance-of
        #p    part-of
        %m    has-member
        %s    has-substance
        %p    has-part
        =    attribute
        |    nearest
        +r    has-role
        -r    is-role-of
        Lexical:
        !   antonym
        @    hypernym
        ~    hyponym
        +c    composed-of
        -c    composes
        \    derived-from
        /    related-to
        
        Verb relations
        --------------
        
        Semantic:
        !    antonym
        @    hypernym
        ~    hyponym
        *    entailment
        >    causes
        ^    also-see
        $    verb-group
        |    nearest
        
        Lexical:
        !   antonym
        @    hypernym
        ~    hyponym
        +c    composed-of
        -c    composes
        \    derived-from
        /    related-to
        
        Adjective relations
        -------------------
        Semantic:
        !    antonym
        &    similar-to
        =    is-value-of
        ^    also-see
        |    nearest
        
        Lexical:
        !   antonym
        <    participle
        +c    composed-of
        -c    composes
        \    derived-from
        /    related-to
        
        Adverb relations
        ----------------
        
        Semantic:
        !    antonym
        |    nearest
        
        Lexical:
        !    antonym
        +c    composed-of
        -c    composes
        \    derived-from
        /    related-to
        
        ``LWN.get_semfield_by_code('110')  # 'Furniture'``
        
        Semfields
        ---------
        160    Acoustics
        187    Administration
        123    Agriculture
        142    Anatomy
        125    Animal_Husbandry
        145    Animals
        188    Anthropology
        96    Applied_Science
        35    Archaeology
        91    Archery
        107    Architecture
        19    Art
        192    Artisanship
        49    Astrology
        113    Astronautics
        139    Astronomy
        87    Athletics
        161    Atomic_Physic
        225    Aviation
        66    Badminton
        204    Banking
        67    Baseball
        68    Basketball
        62    Betting
        141    Biochemistry
        140    Biology
        194    Body_Care
        202    Book_Keeping
        94    Bowling
        89    Boxing
        109    Buildings
        63    Card
        149    Chemistry
        61    Chess
        20    Cinema
        3    Color
        195    Commerce
        128    Computer_Science
        69    Cricket
        77    Cycling
        21    Dance
        118    Dentistry
        215    Diplomacy
        85    Diving
        29    Drawing
        150    Earth
        196    Economy
        167    Electricity
        168    Electronics
        114    Electrotechnology
        111    Engineering
        201    Enterprise
        146    Entomology
        134    Environment
        190    Ethnology
        206    Exchange
        1    Factotum
        207    Fashion
        90    Fencing
        203    Finance
        92    Fishing
        191    Folklore
        105    Food
        70    Football
        54    Free_Time
        110    Furniture
        163    Gas
        106    Gastronomy
        144    Genetics
        165    Geography
        151    Geology
        157    Geometry
        71    Golf
        37    Grammar
        31    Graphic_Arts
        193    Health
        34    Heraldry
        33    History
        80    Hockey
        127    Home
        9    Humanities
        93    Hunting
        115    Hydraulics
        208    Industry
        199    Insurance
        42    Jewellery
        209    Law
        36    Linguistics
        38    Literature
        156    Mathematics
        116    Mechanics
        117    Medicine
        152    Meteorology
        7    Metrology
        210    Military
        205    Money
        81    Mountaineering
        25    Music
        51    Mythology
        227    Nautical
        2    Number
        43    Numismatics
        48    Occultism
        153    Oceanography
        164    Optics
        24    Painting
        154    Paleontology
        47    Paranormal
        211    Pedagogy
        5    Person
        119    Pharmacy
        32    Philately
        39    Philology
        40    Philosophy
        26    Photography
        159    Physics
        143    Physiology
        147    Plants
        41    Plastic_Arts
        58    Play
        214    Politics
        220    Post
        120    Psychiatry
        46    Psychoanalysis
        8    Psychological_Features
        45    Psychology
        216    Publishing
        129    Pure_Science
        6    Quality
        95    Racing
        64    Radio_TV
        121    Radiology
        228    Railway
        50    Religion
        52    Roman_Catholic
        82    Rowing
        72    Rugby
        212    School
        44    Sculpture
        217    Sexuality
        78    Skating
        79    Skiing
        73    Soccer
        169    Social_Science
        218    Sociology
        65    Sport
        158    Statistics
        84    Sub
        122    Surgery
        83    Swimming
        74    Table_Tennis
        200    Tax
        219    Telecommunication
        221    Telegraphy
        222    Telephony
        75    Tennis
        28    Theatre
        53    Theology
        4    Time_Period
        166    Topography
        223    Tourism
        108    Town_Planning
        224    Transport
        213    University
        226    Vehicles
        126    Veterinary
        76    Volleyball
        88    Wrestling
        
Platform: UNKNOWN
Requires-Python: >=3.5
