Latin-script (natural language) parser
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A Latin script language parser for retext producing NLCST nodes.

Whether Old-English (“þā gewearþ þǣm hlāforde and þǣm hȳrigmannum wiþ ānum penninge”), Icelandic (“Hvað er að frétta”), French (“Où sont les toilettes?”), parse-latin does a good job at tokenising it.

Note also that parse-latin does a decent job at tokenising Latin-like scripts, Cyrillic (“Добро пожаловать!”), Georgian (“როგორა ხარ?”), Armenian (“Շատ հաճելի է”), and such.



npm install parse-latin


var inspect = require('unist-util-inspect')
var Latin = require('parse-latin')

var tree = new Latin().parse('A simple sentence.')


Which, when inspecting, yields:

RootNode[1] (1:1-1:19, 0-18)
└─ ParagraphNode[1] (1:1-1:19, 0-18)
   └─ SentenceNode[6] (1:1-1:19, 0-18)
      ├─ WordNode[1] (1:1-1:2, 0-1)
      │  └─ TextNode: "A" (1:1-1:2, 0-1)
      ├─ WhiteSpaceNode: " " (1:2-1:3, 1-2)
      ├─ WordNode[1] (1:3-1:9, 2-8)
      │  └─ TextNode: "simple" (1:3-1:9, 2-8)
      ├─ WhiteSpaceNode: " " (1:9-1:10, 8-9)
      ├─ WordNode[1] (1:10-1:18, 9-17)
      │  └─ TextNode: "sentence" (1:10-1:18, 9-17)
      └─ PunctuationNode: "." (1:18-1:19, 17-18)



Exposes the functionality needed to tokenise natural Latin-script languages into a syntax tree. If value is passed here, it’s not needed to give it to #parse().


Tokenise value (string) into letters and numbers (words), white space, and everything else (punctuation). The returned nodes are a flat list without paragraphs or sentences.


Array.<NLCSTNode> — Nodes.


Tokenise value (string) into an NLCST tree. The returned node is a RootNode with in it paragraphs and sentences.


NLCSTNode — Root node.


Note: The easiest way to see how parse-latin tokenizes and parses, is by using the online parser demo, which shows the syntax tree corresponding to the typed text.

parse-latin splits text into white space, word, and punctuation tokens. parse-latin starts out with a pretty easy definition, one that most other tokenisers use:

  • A “word” is one or more letter or number characters
  • A “white space” is one or more white space characters
  • A “punctuation” is one or more of anything else

Then, it manipulates and merges those tokens into an NLCST syntax tree, adding sentences and paragraphs where needed.

  • Some punctuation marks are part of the word they occur in, e.g., non-profit, she’s, G.I., 11:00, N/A, &c, nineteenth- and...
  • Some full-stops do not mark a sentence end, e.g., 1., e.g., id.
  • Although full-stops, question marks, and exclamation marks (sometimes) end a sentence, that end might not occur directly after the mark, e.g., .), ."
  • And many more exceptions


MIT © Titus Wormer