Natural Language Processing for Ethiopian Languages

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Ethiopia Local Chapter.

The problem

The current problem with Amharic language processing is that there are not enough works for public use. Most research projects remained on the shelf of universities. This project, which is the first in a series of NLP-related projects on local languages, aims to build and consolidate capacity in Amharic language processing by leveraging the latest available data.

The goals

The goal of the project is to build an end-to-end NLP project. Particularly, We will start with collecting and organizing data, then we will continue with building tools for preprocessing, and later on, we will conclude the project by building a classification model for Amharic news.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work