lambeq
About
lambeq is a toolkit for quantum natural language processing (QNLP).
Documentation: https://cqcl.github.io/lambeq/
Getting started
Prerequisites
- Python 3.7+
Installation
Direct pip install
The base lambeq can be installed with the command:
pip install lambeq
This does not include optional dependencies such as depccg and PyTorch, which have to be installed separately. In particular, depccg is required for lambeq.ccg2discocat.DepCCGParser.
To install lambeq with depccg, run instead:
pip install cython numpy
pip install 'lambeq[depccg]'
depccg_en download
See below for further options.
Automatic installation (recommended)
This runs an interactive installer to help pick the installation destination and configuration.
- Run:
sh <(curl 'https://cqcl.github.io/lambeq/install.sh')
Git installation
This requires Git to be installed.
-
Download this repository:
git clone https://github.com/CQCL/lambeq
-
Enter the repository:
cd lambeq -
Make sure
pipis up-to-date:pip install --upgrade pip wheel
-
(Optional) If installing the optional dependency
depccg, the following packages must be installed before installingdepccg:pip install cython numpy
Further information can be found on the depccg homepage.
-
Install lambeq from the local repository using pip:
pip install --use-feature=in-tree-build .To include depccg, run instead:
pip install --use-feature=in-tree-build .[depccg]
To include all optional dependencies, run instead:
pip install --use-feature=in-tree-build .[all]
-
If using a pretrained depccg parser, download a pretrained model:
depccg_en download
Usage
The docs/examples directory contains notebooks demonstrating usage of the various tools in lambeq.
Example - parsing a sentence into a diagram (see docs/examples/ccg2discocat.ipynb):
from lambeq.ccg2discocat import DepCCGParser
depccg_parser = DepCCGParser()
diagram = depccg_parser.sentence2diagram('This is a test sentence')
diagram.draw()
Note: all pre-trained depccg models apart from the basic one are broken, and depccg has not yet been updated to fix this. Therefore, it is recommended to just use the basic parser, as shown here.
Testing
Run all tests with the command:
pytest
Note: if you have installed in a virtual environment, remember to install pytest in the same environment using pip.
Building Documentation
To build the documentation, first install the required dependencies:
pip install -r docs/requirements.txt
then run the commands:
cd docs
make clean
make html
the docs will be under docs/_build.
To rebuild the rst files themselves, run:
sphinx-apidoc --force -o docs lambeq
License
Distributed under the Apache 2.0 license. See LICENSE for more details.
Citation
If you wish to attribute our work, please cite the accompanying paper:
@article{kartsaklis2021lambeq,
title={lambeq: {A}n {E}fficient {H}igh-{L}evel {P}ython {L}ibrary for {Q}uantum {NLP}},
author={Dimitri Kartsaklis and Ian Fan and Richie Yeung and Anna Pearson and Robin Lorenz and Alexis Toumi and Giovanni de Felice and Konstantinos Meichanetzidis and Stephen Clark and Bob Coecke},
year={2021},
journal={arXiv preprint arXiv:2110.04236},
}
5 Feb 04, 2022
1 Jun 19, 2022
55 Dec 05, 2022
345 Dec 28, 2022
228 Dec 29, 2022
327 Dec 27, 2022
569 Dec 30, 2022
59 Dec 26, 2022
1 Dec 17, 2021
48 Nov 27, 2022
45 Dec 27, 2022
23 Dec 02, 2022
99 Dec 19, 2022
89 Dec 26, 2022
2k Dec 29, 2022
156 Nov 28, 2022
1 Dec 20, 2021
11 May 02, 2022
125 Nov 18, 2022
182 Dec 20, 2022