Bling Fire

Bling Fire - high speed text tokenization - for Ruby

Installation

Add this line to your application’s Gemfile:

gem 'blingfire'

Getting Started

Create a model

model = BlingFire::Model.new

Tokenize words

model.text_to_words(text)

Tokenize sentences

model.text_to_sentences(text)

Pre-trained Models

BlingFire comes with a default model that follows the tokenization logic of NLTK with a few changes. You can also download other models:

• BERT Base
• BERT Base Cased
• BERT Chinese
• BERT Multilingual Cased
• Laser 100k
• Laser 250k
• Laser 500k
• XLM Roberta
• XLNet
• XLNet No Norm
• WBD

Load a model

model = BlingFire.load_model("bert_base_tok.bin")

Convert text to ids

model.text_to_ids(text)

History

View the changelog

Contributing

Everyone is encouraged to help improve this project. Here are a few ways you can help:

• Report bugs
• Fix bugs and submit pull requests
• Write, clarify, or fix documentation
• Suggest or add new features

To get started with development:

git clone https://github.com/ankane/blingfire.git
cd blingfire
bundle install
bundle exec rake vendor:all
bundle exec rake test