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== Database contents == [[File:Hamburger WordNet.png|thumb|Example entry "Hamburger" in WordNet]] The database contains 155,327 words organized in 175,979 [[synsets]] for a total of 207,016 word-sense pairs; in [[data compression|compressed]] form, it is about 12 [[megabyte]]s in size.<ref name=":0">{{cite web|url=http://wordnet.princeton.edu/man/wnstats.7WN.html |title=WordNet Statistics |publisher=Wordnet.princeton.edu |access-date=2018-06-22}}</ref> It includes the lexical categories [[noun]]s, [[verb]]s, [[adjective]]s and [[adverb]]s but ignores [[preposition]]s, [[determiner (linguistics)|determiner]]s and other function words. Words from the same lexical category that are roughly synonymous are grouped into [[synsets]], which include simplex words as well as [[collocation]]s like "eat out" and "car pool." The different senses of a [[polysemous]] word form are assigned to different synsets. A synset's meaning is further clarified with a short defining ''gloss'' and one or more usage examples. An example adjective synset is: : good, right, ripe β (most suitable or right for a particular purpose; "a good time to plant tomatoes"; "the right time to act"; "the time is ripe for great sociological changes") All synsets are connected by means of semantic relations. These relations, which are not all shared by all lexical categories, include: * [[Noun]]s **''[[hypernym]]'': ''Y'' is a hypernym of ''X'' if every ''X'' is a (kind of) ''Y'' (''canine'' is a hypernym of ''[[dog]]'') **''[[hyponym]]'': ''Y'' is a hyponym of ''X'' if every ''Y'' is a (kind of) ''X'' (''dog'' is a hyponym of ''canine'') **''coordinate term'': ''Y'' is a coordinate term of ''X'' if ''X'' and ''Y'' share a hypernym (''wolf'' is a coordinate term of ''dog'', and ''dog'' is a coordinate term of ''wolf'') **''[[holonymy|holonym]]'': ''Y'' is a holonym of ''X'' if ''X'' is a part of ''Y'' (''building'' is a holonym of ''window'') **''[[meronymy|meronym]]'': ''Y'' is a meronym of ''X'' if ''Y'' is a part of ''X'' (''window'' is a meronym of ''building'') * [[Verb]]s **''hypernym'': the verb ''Y'' is a hypernym of the verb ''X'' if the activity ''X'' is a (kind of) ''Y'' (''to perceive'' is an hypernym of ''to listen'') **''[[troponym]]'': the verb ''Y'' is a troponym of the verb ''X'' if the activity ''Y'' is doing ''X'' in some manner (''to lisp'' is a troponym of ''to talk'') **''[[entailment]]'': the verb ''Y'' is entailed by the verb ''X'' if by doing ''X'' you must be doing ''Y'' (''to sleep'' is entailed by ''to snore'') **''coordinate term'': the verb ''Y'' is a coordinate term of the verb ''X'' if ''X'' and ''Y'' share a hypernym (''to lisp'' is a coordinate term of ''to yell'', and ''to yell'' is a coordinate term of ''to lisp'') These semantic relations hold among all members of the linked synsets. Individual synset members (words) can also be connected with lexical relations. For example, (one sense of) the noun "director" is linked to (one sense of) the verb "direct" from which it is derived via a "morphosemantic" link. The morphology functions of the software distributed with the database try to deduce the [[Lemma (morphology)|lemma]] or [[stem (linguistics)|stem]] form of a [[word]] from the user's input. Irregular forms are stored in a list, and looking up "ate" will return "eat," for example.
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