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Thato-rabodiba/South-African-Language-Identification-Hack-2023

Domaine:

natural language processing

Type de record:

datasetproject
Créateur:
Tha
Hôte:
# South-African-Language-Identification-Hack-2023 Language Identification Hackathon South African Language Identification Hack 2023 EDSA 2309 & 2307 classification hackathon Hackathon Overview: South African Language Identification Hack 2023 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 From gov.za 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. Problem Statement 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 using various classification models. Data overview 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 tr …

Visit

github.com

Tasks

language identification

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