95 lines
2.7 KiB
Nim
95 lines
2.7 KiB
Nim
import dsl
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# Tips: in python run
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#
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# import gensim.downloader
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# model = gensim.downloader.load("glove-wiki-gigaword-50") # or other models @https://github.com/piskvorky/gensim-data
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#
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# Then find words related to what you want in model[] and do math on them.
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# Then search through model to find nearby vectors using model.most_similar.
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# e.g. model.most_similar(model['aunt'] - model['woman'] + model['man'])
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dictionary:
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glyphs:
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vowel "i", outer
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vowel "e", outer, slashed
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vowel "a", slashed
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vowel "o", inner, slashed
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vowel "u", inner
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vowel "y", both
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cluster "θ", left, top
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cluster "∫", left, middle
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cluster "x", left, bottom
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cluster "n", center, middle
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cluster "p", right, top
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cluster "t", right, middle
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cluster "k", right, bottom
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cluster "θl", left, top, tall
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cluster "∫l", left, middle, tall
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cluster "xl", left, bottom, tall
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cluster "nl", center, middle, tall
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cluster "pl", right, top, tall
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cluster "tl", right, middle, tall
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cluster "kl", right, bottom, tall
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cluster "θr", left, top, wide
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cluster "∫r", left, middle, wide
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cluster "xr", left, bottom, wide
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cluster "nr", center, middle, wide
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cluster "pr", right, top, wide
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cluster "tr", right, middle, wide
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cluster "kr", right, bottom, wide
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cluster "sθ", left, top, both
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cluster "s∫", left, middle, both
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cluster "sx", left, bottom, both
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cluster "sn", center, middle, both
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cluster "sp", right, top, both
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cluster "st", right, middle, both
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cluster "sk", right, bottom, both
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syllables()
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punctuation "«", left
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punctuation "."
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punctuation "»", right
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numeric "0", circle
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numeric "1", dash
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numeric "2", vee
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numeric "3", hump
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numeric "4", dash, hump
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numeric "5", vee, hump
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numeric ".", dot
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dialect "jukashenikan":
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replace "x", "ç"
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replace "p", "j"
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# ...
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dialect "gazhenigan":
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replace "k", "g"
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replace "∫", "ʒ"
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replace "s", "z"
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replace "θ", "ð"
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replace "t", "d"
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# ...
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words:
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word "t":
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noun "thing", "See t - dmPenta for better meaning."
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# verb "be"
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penta "n x", "Pronouns":
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extremes i="Fully proximal", u="Fully distal"
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i: pronoun "I/me"
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e: pronoun "this"
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a: pronoun "you"
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o: pronoun "it"
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u: pronoun "that"
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# TODO: Consider hepta scales as well? how?
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when isMainModule:
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echo dict.jsonify
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