rn-sbd

Sentence Boundary Detection (SBD)

Split text into sentences with a vanilla rule based approach (i.e working ~95% of the time).

• Split a text based on period, question- and exclamation marks.
  • Skips (most) abbreviations (Mr., Mrs., PhD.)
  • Skips numbers/currency
  • Skips urls, websites, email addresses, phone nr.
  • Counts ellipsis and ?! as single punctuation

Installation

Use npm or yarn:

$ npm install rn-sbd

$ yarn add rn-sbd

How to

var tokenizer = require('rn-sbd');
 
var optional_options = {};
var text = "On Jan. 20, former Sen. Barack Obama became the 44th President of the U.S. Millions attended the Inauguration.";
var sentences = tokenizer.sentences(text, optional_options);
 
// [
//  'On Jan. 20, former Sen. Barack Obama became the 44th President of the U.S.',
//  'Millions attended the Inauguration.',
// ]

Optional options

var options = {
    "newline_boundaries" : false,
    "html_boundaries"    : false,
    "preserve_whitespace" : false,
    "abbreviations"      : null
};

• newline_boundaries, force sentence split at newlines
• html_boundaries, force sentence split at specific tags (br, and closing p, div, ul, ol)
• preserve_whitespace: Preserve the literal whitespace between words and sentences (otherwise, internal spaces are normalized to a single space char, and inter-sentence whitespace is omitted). Preserve whitespace has no effect if either newline_boundaries or html_boundaries is specified.
• abbreviations: list of abbreviations to override the original ones for use with other languages. Don't put dots in your custom abbreviations.

Contributing

You can run unit tests with npm test.

If you feel something is missing, you can open an issue stating the problem sentence and desired result. If code is unclear give me a @mention. Pull requests are welcome.