Getting Started

Installation

You will need Python 3.8 - 3.11 (64-bit) as well as the Rust compiler installed.

Linux/macOS

You will need to install some additional dependencies on Linux and macOS. Primarily CMake, and Boost.

On Ubuntu/Debian you can install these dependencies by running:

sudo apt-get install cmake libboost-all-dev

On macOS you can install them using Homewbrew by running:

brew install cmake boost

Install using pip

pip install camel-tools

# or run the following if you already have camel_tools installed
pip install camel-tools --upgrade

On Apple silicon Macs you may have to run the following instead:

CMAKE_OSX_ARCHITECTURES=arm64 pip install camel-tools

# or run the following if you already have camel_tools installed
CMAKE_OSX_ARCHITECTURES=arm64 pip install camel-tools --upgrade

Install from source

# Clone the repo
git clone https://github.com/CAMeL-Lab/camel_tools.git
cd camel_tools

# Install from source
pip install .

# or run the following if you already have camel_tools installed
pip install --upgrade .

Installing data

To install the data sets required by CAMeL Tools components run one of the following:

# To install all datasets
camel_data -i all

# or just the datasets for morphology and MLE disambiguation only
camel_data -i light

# or just the default datasets for each component
camel_data -i defaults

See Packages for a list of all available datasets.

By default, data is stored in ~/.camel_tools. Alternatively, if you would like to install the data in a different location, you need to set the CAMELTOOLS_DATA environment variable to the desired path.

Add the following to your .bashrc, .zshrc, .profile, etc:

export CAMELTOOLS_DATA=/path/to/camel_tools_data

Windows

Note: CAMeL Tools has been tested on Windows 10. The Dialect Identification component is not available on Windows at this time.

Install using pip

pip install camel-tools -f https://download.pytorch.org/whl/torch_stable.html

# or run the following if you already have camel_tools installed
pip install --upgrade -f https://download.pytorch.org/whl/torch_stable.html camel-tools

Install from source

# Clone the repo
git clone https://github.com/CAMeL-Lab/camel_tools.git
cd camel_tools

# Install from source
pip install -f https://download.pytorch.org/whl/torch_stable.html .
pip install --upgrade -f https://download.pytorch.org/whl/torch_stable.html .

Installing data

To install the data packages required by CAMeL Tools components, run one of the following commands:

# To install all datasets
camel_data -i all

# or just the datasets for morphology and MLE disambiguation only
camel_data -i light

# or just the default datasets for each component
camel_data -i defaults

See Packages for a list of all available datasets.

By default, data is stored in C:\Users\your_user_name\AppData\Roaming\camel_tools. Alternatively, if you would like to install the data in a different location, you need to set the CAMELTOOLS_DATA environment variable to the desired path. Below are the instructions to do so (on Windows 10):

  • Press the Windows button and type env.

  • Click on Edit the system environment variables (Control panel).

  • Click on the Environment Variables… button.

  • Click on the New… button under the User variables panel.

  • Type CAMELTOOLS_DATA in the Variable name input box and the desired data path in Variable value. Alternatively, you can browse for the data directory by clicking on the Browse Directory… button.

  • Click OK on all the opened windows.

Next Steps

To get started, you can follow along the Guided Tour for a quick overview of the components provided by CAMeL Tools.

See Command-line Tools for information on using the command-line tools or Python API Reference for information on using the Python API.