Building a Twitter Corpus for Swahili

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

Sentiment analysis is one of the most widely studied applications in NLP, but most work focuses on languages with large amounts of data. We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeri

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages. This project was supported by lacuna-fund initiatives. Jump straight to one of the sections below, or just scroll down to find out more.

Building a Functional Machine Translation Corpus for Kpelle

In this paper, we introduce the first publicly available English-Kpelle dataset for machine translat

Building a Standard Amazigh Corpus

The SAWA Corpus: a Parallel Corpus English - Swahili

Research in data-driven methods for Machine Translation has greatly benefited from the increasing availability of parallel corpora. Processing the same text in two different languages yields useful information on how words and phrases are translated from a source l

Swahili Corpus

The repository contains several text files each corresponding to categories of Swahili textual conte