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:

$ npm install sbd

How to

var tokenizer = require('sbd');

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,
    "sanitize"           : false,
    "allowed_tags"       : 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)
• sanitize: If you don't expect nor want html in your text.
• allowed_tags: To sanitize html, the library santize-html is used. You can pass the allowed tags option.
• abbreviations: list of abbreviations to override the original ones for use with other languages. Don't put dots in 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.