# Explore-Academy-AI-South-African-Language-Identification-Hack-2023
**Overview**
South Africa is a multicultural society that is characterised by its rich linguistic diversity. Language is an indispensable tool that can be used to deepen democracy and also contribute to the social, cultural, intellectual, economic, and political life of the South African society.
The country is multilingual with 11 official languages, each of which is guaranteed equal status. Most South Africans are multilingual and able to speak at least two or more of the official languages.
From South African Government.
With such a multilingual population, it is only obvious that our systems and devices also communicate in multi-languages.
In this challenge, you will take text which is in any of South Africa's 11 Official languages and identify which language the text is in. This is an example of NLP's Language Identification, the task of determining the natural language that a piece of text is written in.
**NB**:
The dataset used for this challenge is the NCHLT Text Corpora collected by the South African Department of Arts and Culture & Centre for Text Technology (CTexT, North-West University, South Africa). The training set was improved through additional cleaning done by Praekelt.
The data is in the form Language ID, Text. The text is in various states of cleanliness. Some NLP techniques will be necessary to clean up the data.
**File descriptions**
train_set.csv - the training set
test_set.csv - the test set
sample_submission.csv -> a sample submission file in the correct format
**Language IDs**
afr - Afrikaans
eng - English
nbl - isiNdebele
nso - Sepedi
sot - Sesotho
ssw - siSwati
tsn - Setswana
tso - Xitsonga
ven - Tshivenda
xho - isiXhosa
zul - isiZulu
**Rules for the hackathon**
This is a private hackathon whose primary purpose is for the members of the EXPLORE Data Science Academy to apply what they have learned. If you are part of EDSA contact your mentor for the secret …