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  1. downloads.cs.stanford.edu › nlp › dataStanford University

    UNK the , . of and in " a to was is ) ( for as on by he with 's that at from his it an were are which this also be has or : had first one their its new after but who not they have

  2. www.scribd.com › document › 337186531Substancial | PDF | United Kingdom | Spain - Scribd

    substancial - Free ebook download as Text File (.txt), PDF File (.pdf) or read book online for free. contains some random words for machine learning natural language processing

  3. cdnjs.cloudflare.com › ajax › libscdnjs.cloudflare.com

    { "version": 3, "sources": [ "node_modules/browser-pack/_prelude.js", "/users/dan/zxcvbn/src/adjacency_graphs.coffee", "/users/dan/zxcvbn/src/feedback.coffee ...