tok 0.0.3

Fast and customizable tokenizer

## tok

[](https://pypi.python.org/pypi/tok/) [](https://pypi.python.org/pypi/tok/)

Fastest and most complete/customizable tokenizer in Python.

Roughly 25x faster than spacy’s and nltk’s regex based tokenizers.

### Installation

pip install tok

It depends on [textsearch](https://github.com/kootenpv/textsearch).

### Usage

By default it handles contractions, http, (float) numbers and currencies.

`python from tok import word_tokenize word_tokenize("I wouldn't do that.... would you?") ['I', 'would', 'not', 'do', 'that', '...', 'would', 'you', '?'] `

Or configure it yourself:

`python from tok import Tokenizer tokenizer = Tokenizer(protected_words=["some.thing"]) # still using the defaults tokenizer.word_tokenize("I want to protect some.thing") ['I', 'want', 'to', 'protect', 'some.thing'] `

Split by sentences:

`python from tok import sent_tokenize sent_tokenize("I wouldn't do that.... would you?") [['I', 'would', 'not', 'do', 'that', '...'], ['would', 'you', '?']] `

for more options check the documentation of the Tokenizer.

### Further customization

Given:

`python from tok import Tokenizer t = Tokenizer(protected_words=["some.thing"]) # still using the defaults `

You can add your own ideas to the tokenizer by using:

• t.keep(x, reason): Whenever it finds x, it will not add whitespace. Prevents direct tokenization.

• t.split(x, reason): Whenever it finds x, it will surround it by whitespace, thus creating a token.

• t.drop(x, reason): Whenever it finds x, it will remove it but add a split.

• t.strip(x, reason): Whenever it finds x, it will remove it without splitting.

`python tokenizer.drop("bla", "bla is not needed") t.word_tokenize("Please remove bla, thank you") ['Please', 'remove', ',', 'thank', 'you'] `

### Explainable

Explain what happened:

`python t.explain("bla") [{'from': 'bla', 'to': ' ', 'explanation': 'bla is not needed'}] `

See everything in there (will help you understand how it works):

`python t.explain_dict `

### Contributing

It would be greatly appreciated if you want to contribute to this library.

It would also be great to add [contractions](https://github.com/kootenpv/contractions) for other languages.