Skip to main content

Translating Akkadian signs to transliteration using NLP algorithms

Project description

Translating-Akkadian-using-NLP

Translating Akkadian signs to transliteration using NLP algorithms such as HMM, MEMM and BiLSTM neural networks.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Install Python 3.7.1 - https://www.python.org/downloads/release/python-371/

Install Pycharm - https://www.jetbrains.com/pycharm/download/#section=windows

Install git - https://git-scm.com/downloads (Choose your Operating system)

Create a GitHub user - https://github.com/join?source=header-home

Installing

A step by step series of examples that tell you how to get a development env running

Install torch: Windows -

pip3 install torch===1.3.1 torchvision===0.4.2 -f https://download.pytorch.org/whl/torch_stable.html

Linux and MAC -

pip3 install torch torchvision

Install allennlp:

pip install allennlp

Open pycharm and choose "Check out from version control"

Insert the GitHub project path - https://github.com/gaigutherz/Translating-Akkadian-using-NLP.git

Insert your GitHub credentials

Clone

Now you can run the project and insert the Akkadian signs!

Authors

Gai Gutherz

Ariel Elazary

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

akkadian-1.0.1.tar.gz (92.9 MB view hashes)

Uploaded Source

Built Distribution

akkadian-1.0.1-py3-none-any.whl (92.9 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page