SAPPHIRE is a simple monolingual phrase aligner based on word embeddings.

SAPPHIRE depends only on a pre-trained word embeddings. Therefore, it is easily transferable to specific domains and different languages.
This library is designed for a pre-trained model of fastText. But it is easy to replace the model.

• Python 3.5 or newer
• NumPy & SciPy
• fasttext

1. Install requirements
   After cloning this repository, go to the root directory and pip install -r requirements.txt or pipenv install.

2. Download pre-trained model of fastText or prepare your model of fastText.

$ curl -O https://dl.fbaipublicfiles.com/fasttext/vectors-english/wiki-news-300d-1M-subword.bin.zip

$ unzip wiki-news-300d-1M-subword.bin.zip

3. Move the pre-trained model to model directory.

import sa