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  "Title": "Fast n-Gram 'Tokenization'",
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  "Description": "An n-gram is a sequence of n \"words\" taken, in order, from\na body of text.  This is a collection of utilities for\ncreating, displaying, summarizing, and \"babbling\" n-grams.  The\n'tokenization' and \"babbling\" are handled by very efficient C\ncode, which can even be built as its own standalone library.\nThe babbler is a simple Markov chain.  The package also offers\na vignette with complete example 'workflows' and information\nabout the utilities offered in the package.",
  "License": "BSD 2-clause License + file LICENSE",
  "LazyLoad": "yes",
  "NeedsCompilation": "yes",
  "ByteCompile": "yes",
  "Authors@R": "c(person(\"Drew\", \"Schmidt\", role=c(\"aut\", \"cre\"), \nemail=\"wrathematics@gmail.com\"),\nperson(\"Christian\", \"Heckendorf\", role=\"aut\"))",
  "Maintainer": "Drew Schmidt <wrathematics@gmail.com>",
  "URL": "https://github.com/wrathematics/ngram",
  "BugReports": "https://github.com/wrathematics/ngram/issues",
  "RoxygenNote": "7.1.2",
  "Repository": "https://wrathematics.r-universe.dev",
  "Date/Publication": "2023-12-10 18:39:46 UTC",
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  "_selfowned": true,
  "_usedby": 6,
  "_updates": [],
  "_tags": [],
  "_topics": [
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    "text",
    "text-mining"
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  "_devurl": "https://github.com/wrathematics/ngram",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ngram.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
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  "_realowner": "wrathematics",
  "_cranurl": true,
  "_releases": [
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      "version": "1.0",
      "date": "2014-06-23"
    },
    {
      "version": "1.1",
      "date": "2014-06-25"
    },
    {
      "version": "3.0.0",
      "date": "2016-05-10"
    },
    {
      "version": "3.0.1",
      "date": "2016-07-13"
    },
    {
      "version": "3.0.2",
      "date": "2017-01-17"
    },
    {
      "version": "3.0.3",
      "date": "2017-03-24"
    },
    {
      "version": "3.0.4",
      "date": "2017-11-21"
    },
    {
      "version": "3.2.0",
      "date": "2021-10-31"
    },
    {
      "version": "3.2.1",
      "date": "2022-03-14"
    },
    {
      "version": "3.2.2",
      "date": "2022-10-31"
    },
    {
      "version": "3.2.3",
      "date": "2023-12-10"
    }
  ],
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    "babble",
    "concatenate",
    "get.nextwords",
    "get.ngrams",
    "get.phrasetable",
    "get.string",
    "getseed",
    "multiread",
    "ng_order",
    "ngram",
    "ngram_asweka",
    "preprocess",
    "print",
    "rcorpus",
    "show",
    "splitter",
    "string.summary",
    "wordcount"
  ],
  "_help": [
    {
      "page": "ngram-package",
      "title": "ngram: Fast n-Gram Tokenization",
      "topics": [
        "ngram-package"
      ]
    },
    {
      "page": "babble",
      "title": "ngram Babbler",
      "topics": [
        "babble",
        "babble,ngram-method"
      ]
    },
    {
      "page": "concatenate",
      "title": "Concatenate",
      "topics": [
        "concatenate"
      ]
    },
    {
      "page": "getseed",
      "title": "getseed",
      "topics": [
        "getseed"
      ]
    },
    {
      "page": "getters",
      "title": "ngram Getters",
      "topics": [
        "get.nextwords",
        "get.nextwords,ngram-method",
        "get.ngrams",
        "get.ngrams,ngram-method",
        "get.string",
        "get.string,ngram-method",
        "getters",
        "ng_order",
        "ng_order,ngram-method"
      ]
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      "page": "multiread",
      "title": "Multiread",
      "topics": [
        "multiread"
      ]
    },
    {
      "page": "ngram",
      "title": "n-gram Tokenization",
      "topics": [
        "ngram",
        "tokenize"
      ]
    },
    {
      "page": "ngram-class",
      "title": "Class ngram",
      "topics": [
        "ngram-class"
      ]
    },
    {
      "page": "ngram-print",
      "title": "ngram printing",
      "topics": [
        "ngram-print",
        "print,ngram-method",
        "show,ngram-method"
      ]
    },
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      "page": "phrasetable",
      "title": "Get Phrasetable",
      "topics": [
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        "phrasetable"
      ]
    },
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      "topics": [
        "preprocess"
      ]
    },
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      "topics": [
        "rcorpus"
      ]
    },
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        "splitter"
      ]
    },
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      "topics": [
        "string.summary"
      ]
    },
    {
      "page": "tokenize-asweka",
      "title": "Weka-like n-gram Tokenization",
      "topics": [
        "ngram_asweka",
        "Tokenize-AsWeka"
      ]
    },
    {
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      "title": "wordcount",
      "topics": [
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        "wordcount.character",
        "wordcount.ngram"
      ]
    }
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      "created": "2014-06-16 05:54:20",
      "modified": "2022-03-13 22:50:58",
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