package shenikan // Tips: in python run // // import gensim.downloader // model = gensim.downloader.load("glove-wiki-gigaword-50") # or other models @https://github.com/piskvorky/gensim-data // // Then find words related to what you want in model[] and do math on them. // Then search through model to find nearby vectors using model.most_similar. // e.g. model.most_similar(model['aunt'] - model['woman'] + model['man']) dictionary: { _glyphs: { vowel: "i": ["outer"] vowel: "e": ["outer", "slashed"] vowel: "a": ["slashed"] vowel: "o": ["inner", "slashed"] vowel: "u": ["inner"] vowel: "y": ["both"] cluster: "θ": ["left", "top"] cluster: "∫": ["left", "middle"] cluster: "x": ["left", "bottom"] cluster: "n": ["center", "middle"] cluster: "p": ["right", "top"] cluster: "t": ["right", "middle"] cluster: "k": ["right", "bottom"] cluster: "θl": ["left", "top", "tall"] cluster: "∫l": ["left", "middle", "tall"] cluster: "xl": ["left", "bottom", "tall"] cluster: "nl": ["center", "middle", "tall"] cluster: "pl": ["right", "top", "tall"] cluster: "tl": ["right", "middle", "tall"] cluster: "kl": ["right", "bottom", "tall"] cluster: "θr": ["left", "top", "wide"] cluster: "∫r": ["left", "middle", "wide"] cluster: "xr": ["left", "bottom", "wide"] cluster: "nr": ["center", "middle", "wide"] cluster: "pr": ["right", "top", "wide"] cluster: "tr": ["right", "middle", "wide"] cluster: "kr": ["right", "bottom", "wide"] cluster: "sθ": ["left", "top", "both"] cluster: "s∫": ["left", "middle", "both"] cluster: "sx": ["left", "bottom", "both"] cluster: "sn": ["center", "middle", "both"] cluster: "sp": ["right", "top", "both"] cluster: "st": ["right", "middle", "both"] cluster: "sk": ["right", "bottom", "both"] punctuation: "«": ["left"] punctuation: ".": [] punctuation: "»": ["right"] } _dialects: { "jukashenikan": { "x": "ç" "p": "j" } "gazhenigan": { "k": "g" "∫": "ʒ" "s": "z" "θ": "ð" "t": "d" } } _words: { "t": { noun: "thing": "See t - dmPenta for better meaning." verb: "be" } } _pentas: { "n x": { // name: "Pronouns" extremes: {i: "Fully proximal", u: "Fully distal"} i: pronoun: "I/me" o: {} } } _icosas: { "n t x": { name: "Tests" ii: noun: "foo" } } }