tokenize

small, safe, and great commonmark (optionally gfm, mdx) compliant markdown parser

CommonMark compliant markdown parser in Rust with ASTs and extensions

Developer friendly Natural Language Processing ✨

Ungreedy subword tokenizer and vocabulary trainer for Python, Go, C++ & Javascript

mdast utility to parse markdown

snapdragon is an extremely pluggable, powerful and easy-to-use parser-renderer factory.

NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

A pythonic wrapper for Stanford CoreNLP.

Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

Tokenize2 is a plugin which allows your users to select multiple items from a predefined list or ajax, using autocompletion as they type to find each item. You may have seen a similar type of text entry when filling in the recipients field sending messages on facebook or tags on tumblr.

Extract JavaScript code comments from a string or glob of files.

bKash payment gateway integration in flutter

A Python library for interacting with TI-(e)z80 (82/83/84 series) calculator files

A token based HTML Document parser and minifier written in PHP. Extract attribute values and text using CSS selectors.

Lexers, tokenizers, parsers, compilers, renderers, stringifiers... What's the difference, and how do they work?

Korean text data preprocess toolkit for NLP

Uses babel to extract JavaScript code comments from a string. Returns an array of comment objects, with line, column, index, comment type and comment string.

Uses snapdragon to tokenize a single JavaScript block comment into an object, with description, tags, and code example sections that can be passed to any other comment parsers for further parsing.

Implemented transformer NN block for Machine translation, text classfication, Natural language inference as well as Machine reading comprehension model.

A Python toolkit to generate a tokenized dump of Wikipedia for NLP