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wordnet.book\r\n\r\n[![NPM](https://nodei.co/npm/wordnet.book.png)](https://nodei.co/npm/wordnet.book/)\r\n\r\nDefines [WordNet] dictionary loader.\r\n> For usage examples, see [wordnetdictionary].\r\n\r\n```javascript\r\nconst Book = require('wordnet.book');\r\n// Book([index], [table], [blob])\r\n// -> Book {<index>, <table>, <blob>}\r\n\r\n// Load prebuilt book data.\r\n// -> this\r\nfromJson(book data)\r\n\r\n// Load data maps.\r\n// -> this\r\nfromDataMap(data map...)\r\n\r\n// Build index, after loading data.\r\n// - <name func>(<name>, <index>, <table>)\r\n// -> this\r\nbuildIndex([name func], [this])\r\n\r\n// Get as JSON.\r\n// -> <json>\r\ntoJson([include index=false])\r\n\r\n// Get name from id.\r\n// -> <name> (if word) | null (if synset)\r\nname(id)\r\n\r\n// Get lex type from id.\r\n// -> <lex type>\r\nlexType(id)\r\n\r\n// Get lex id from id.\r\n// -> <lex id>\r\nlexId(id)\r\n\r\n// Get lex number from id.\r\n// -> <lex number>\r\nlexNumber(id)\r\n\r\n// Get part of speech number from id.\r\n// -> <pos number>\r\nposNumber(id)\r\n\r\n// Get part of speech symbol from id.\r\n// -> <pos symbol>\r\nposSymbol(id)\r\n\r\n// Get part of speech name from id.\r\n// -> <pos name>\r\nposName(id)\r\n\r\n// Get lex file number from id.\r\n// -> <lex file number>\r\nlexFileNumber(id)\r\n\r\n// Get lex file name from id.\r\n// -> <lex file name>\r\nlexFileName(id)\r\n\r\n// Get lex file content from id.\r\n// -> <lex file content>\r\nlexFileContent(id)\r\n\r\n// Check if id is lemma.\r\n// -> true | false\r\nisLemma(id)\r\n\r\n// Check if id is synset.\r\n// -> true | false\r\nisSynset(id)\r\n\r\n// Get synset from id.\r\n// -> <synset>\r\nsynset(id)\r\n\r\n// Get lemmas of id.\r\n// -> Bunch {<id>...}\r\nlemmas(id, [target])\r\n\r\n// Get pointers from id.\r\n// -> Bunch {<id>...}\r\npointers(id, [kbegin=0], [kend=32], [direct=false], [target])\r\n\r\n// Get pointer tree from id.\r\n// -> Bunch {<id>...}\r\npointerTree(id, [kbegin=0], [kend=32], [direct=false], [target])\r\n\r\n// Get frames from id.\r\n// -> Set {<frame number>...}\r\nframes(id, [direct=false], [target])\r\n\r\n// Get frames text from id.\r\n// -> Set {<frame text>...}\r\nframesText(id, [direct=false], [target])\r\n\r\n// Get gloss from id.\r\n// -> <gloss>\r\ngloss(id)\r\n\r\n// Get definition from id.\r\n// -> <definition>\r\ndefinition(id)\r\n\r\n// Get examples from id.\r\n// -> Set {<example>...}\r\nexamples(id, [target])\r\n\r\n// Get description from id.\r\n// -> <description>\r\ndescription(id, [hide lex file name=false], [hide lex id=false], [hide definition=false], [hide examples=false])\r\n\r\n// Get synonyms from id.\r\n// -> Bunch {<id>...}\r\nsynonyms(id, [target])\r\n\r\n// Get similar to pointers from id.\r\n// -> Bunch {<id>...}\r\nsimilarTo(id, [target])\r\n\r\n// Get verb group pointers from id.\r\n// -> Bunch {<id>...}\r\nverbGroup(id, [target])\r\n\r\n// Get also see pointers from id.\r\n// -> Bunch {<id>...}\r\nalsoSee(id, [target])\r\n\r\n// Get antonym pointers from id.\r\n// -> Bunch {<id>...}\r\nantonyms(id, [target])\r\n\r\n// Get pertainym pointers from id.\r\n// -> Bunch {<id>...}\r\npertainyms(id, [target])\r\n\r\n// Get attribute pointers from id.\r\n// -> Bunch {<id>...}\r\nattributes(id, [target])\r\n\r\n// Get cause pointers from id.\r\n// -> Bunch {<id>...}\r\ncauses(id, [target])\r\n\r\n// Get entailment pointers from id.\r\n// -> Bunch {<id>...}\r\nentailments(id, [target])\r\n\r\n// Get derivationally related form pointers from id.\r\n// -> Bunch {<id>...}\r\nderivationallyRelatedForms(id, [target])\r\n\r\n// Get participle of verb pointers from id.\r\n// -> Bunch {<id>...}\r\nparticiplesOfVerb(id, [target])\r\n\r\n// Get hypernym pointers from id.\r\n// -> Bunch {<id>...}\r\nhypernyms(id, [target])\r\n\r\n// Get hypernym tree pointers from id.\r\n// -> Bunch {<id>...}\r\nhypernymTree(id, [target])\r\n\r\n// Get class hypernym pointers from id.\r\n// -> Bunch {<id>...}\r\nclassHypernyms(id, [target])\r\n\r\n// Get class hypernym tree pointers from id.\r\n// -> Bunch {<id>...}\r\nclassHypernymTree(id, [target])\r\n\r\n// Get instance hypernym pointers from id.\r\n// -> Bunch {<id>...}\r\ninstanceHypernyms(id, [target])\r\n\r\n// Get instance hypernym tree pointers from id.\r\n// -> Bunch {<id>...}\r\ninstanceHypernymTree(id, [target])\r\n\r\n// Get hyponym pointers from id.\r\n// -> Bunch {<id>...}\r\nhyponyms(id, [target])\r\n\r\n// Get hyponym tree pointers from id.\r\n// -> Bunch {<id>...}\r\nhyponymTree(id, [target])\r\n\r\n// Get class hyponym pointers from id.\r\n// -> Bunch {<id>...}\r\nclassHyponyms(id, [target])\r\n\r\n// Get class hyponym tree pointers from id.\r\n// -> Bunch {<id>...}\r\nclassHyponymTree(id, [target])\r\n\r\n// Get instance hyponym pointers from id.\r\n// -> Bunch {<id>...}\r\ninstanceHyponyms(id, [target])\r\n\r\n// Get instance hyponym tree pointers from id.\r\n// -> Bunch {<id>...}\r\ninstanceHyponymTree(id, [target])\r\n\r\n// Get holonym pointers from id.\r\n// -> Bunch {<id>...}\r\nholonyms(id, [target])\r\n\r\n// Get member holonym pointers from id.\r\n// -> Bunch {<id>...}\r\nmemberHolonyms(id, [target])\r\n\r\n// Get substance holonym pointers from id.\r\n// -> Bunch {<id>...}\r\nsubstanceHolonyms(id, [target])\r\n\r\n// Get part holonym pointers from id.\r\n// -> Bunch {<id>...}\r\npartHolonyms(id, [target])\r\n\r\n// Get meronym pointers from id.\r\n// -> Bunch {<id>...}\r\nmeronyms(id, [target])\r\n\r\n// Get member meronym pointers from id.\r\n// -> Bunch {<id>...}\r\nmemberMeronyms(id, [target])\r\n\r\n// Get substance meronym pointers from id.\r\n// -> Bunch {<id>...}\r\nsubstanceMeronyms(id, [target])\r\n\r\n// Get part meronym pointers from id.\r\n// -> Bunch {<id>...}\r\npartMeronyms(id, [target])\r\n\r\n// Get domain of synset pointers from id.\r\n// -> Bunch {<id>...}\r\ndomain(id, [target])\r\n\r\n// Get domain of synset (topic) pointers from id.\r\n// -> Bunch {<id>...}\r\ntopicDomain(id, [target])\r\n\r\n// Get domain of synset (region) pointers from id.\r\n// -> Bunch {<id>...}\r\nregionDomain(id, [target])\r\n\r\n// Get domain of synset (usage) pointers from id.\r\n// -> Bunch {<id>...}\r\nusageDomain(id, [target])\r\n\r\n// Get member of this domain pointers from id.\r\n// -> Bunch {<id>...}\r\ndomainMembers(id, [target])\r\n\r\n// Get member of this domain (topic) pointers from id.\r\n// -> Bunch {<id>...}\r\ntopicDomainMembers(id, [target])\r\n\r\n// Get member of this domain (region) pointers from id\r\n// -> Bunch {<id>...}\r\nregionDomainMembers(id, [target])\r\n\r\n// Get member of this domain (usage) pointers from id.\r\n// -> Bunch {<id>...}\r\nusageDomainMembers(id, [target])\r\n```\r\n\r\n\r\n[WordNet]: https://wordnet.princeton.edu/wordnet/\r\n[wordnetdictionary]: https://www.npmjs.com/package/wordnetdictionary\r\n","maintainers":[{"name":"wolfram77","email":"wolfram77@gmail.com"}],"time":{"modified":"2022-05-24T16:22:05.380Z","created":"2018-01-22T15:50:58.991Z","0.0.1":"2018-01-22T15:50:58.991Z","0.0.2":"2018-01-22T15:52:27.586Z","0.0.3":"2018-01-22T15:53:09.815Z","0.0.4":"2018-01-22T15:59:33.070Z","0.0.5":"2018-01-22T15:59:49.743Z","0.0.6":"2018-01-22T16:06:04.848Z","0.0.7":"2018-01-30T09:47:18.181Z","0.0.8":"2018-01-30T09:48:56.931Z","0.0.9":"2018-01-30T09:49:24.463Z","0.0.10":"2018-01-30T10:06:08.216Z","0.0.11":"2018-01-31T23:00:42.933Z","0.1.0":"2018-01-31T23:00:56.756Z","0.1.1":"2018-01-31T23:01:24.955Z","0.1.2":"2018-01-31T23:01:47.946Z","0.1.3":"2018-01-31T23:05:42.267Z","0.1.4":"2018-01-31T23:09:00.673Z","0.1.5":"2018-01-31T23:09:48.728Z","0.1.6":"2018-01-31T23:12:54.903Z","0.2.0":"2018-02-10T12:39:11.011Z","0.2.1":"2018-02-10T13:10:43.839Z","0.2.2":"2018-02-10T13:13:10.160Z","0.2.3":"2018-02-10T13:28:14.625Z","0.2.4":"2018-02-10T13:40:32.970Z","0.2.5":"2018-02-12T12:59:38.180Z","0.2.6":"2018-02-12T14:00:02.710Z","0.2.7":"2018-02-12T14:32:29.102Z","0.2.8":"2018-02-12T14:50:24.709Z","0.2.9":"2018-02-12T14:52:06.146Z","0.2.10":"2018-02-12T14:52:45.910Z","0.3.0":"2018-02-12T15:11:54.152Z","0.3.1":"2018-02-12T15:12:56.279Z","0.3.2":"2018-02-12T15:23:27.847Z","0.3.3":"2018-02-12T15:26:07.593Z","0.3.4":"2018-02-12T15:28:58.198Z","0.3.5":"2018-02-12T16:33:05.376Z"},"keywords":["wordnet","book"],"author":{"name":"wolfram77@gmail.com"},"license":"MIT","readmeFilename":"README.md"}