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overview-js-tokenizer

v0.1.0

Published

Splits text into tokens in as many languages as possible, using libicu

Downloads

33

Readme

Tokenizer

The task is simple: take a String as input, and return an Array of Strings, one per word. Words may repeat.

The logic is not simple.

This tokenizer implements the Unicode 8.0 Text Segmentation Algorithm. That makes it valid for English and European languages; but it's terrible for Chinese, Japanese, and other languages that do not have any characters between words.

Usage

First, add it to your project: npm install --save overview-js-tokenizer

Next, use it. It turns a String input into an Array of String tokens:

var tokenizer = require('overview-js-tokenizer');
var inputString = "The cat's meowed 1,000 times! Really!";
console.log(tokenizer.tokenize(inputString));
// output: [ "The", "cat's", "meowed", "1,000", "times", "Really" ]

Constraints

The input must be a valid Unicode. In particular, a string like \uDC00\uD800 is invalid (it's a low surrogate followed by a high surrogate); that will cause undefined behavior. (This constraint is true of most programs that deal with Strings.)

Developing

Download, npm install, and run npm run prepublish to generate data files.

Run mocha -w in the background as you implement features. Write tests in test and code in lib.

Memory concerns

If you're filtering for only a few words out of a huge input String, be aware that in v8, a reference to even a one-character substring of the huge String will keep the huge String in memory. See https://code.google.com/p/v8/issues/detail?id=2869 for more depth and a workaround.

TODO

Pull requests are welcome! In particular, this library could use:

  • More unit tests: we really don't test much here
  • Options: especially those suggested at http://www.unicode.org/reports/tr29
  • Optimization: we have zillions of function calls and allocations

LICENSE

AGPL-3.0. This project is (c) Overview Services Inc. Please contact us should you desire a more permissive license.