SALT is a multi-way parallel text corpus of Engish and five key Ugandan languages: Luganda, Lugbara, Acholi, Runyankole and Ateso. The dataset contains 25,000 sentences covering a range of topics of local relevance, such as agriculture, health and society. Each sentence is translated into all six languages.
More details are in the following publication:
Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda. Benjamin Akera, Jonathan Mukiibi, Lydia Sanyu Naggayi, Claire Babirye, Isaac Owomugisha, Solomon Nsumba, Joyce Nakatumba-Nabende, Engineer Bainomugisha, Ernest Mwebaze, John Quinn. 3rd Workshop on African Natural Language Processing, 2022. [pdf]
This repository contains a notebook for training and evaluation which can be used to replicate the results in the paper. To try translation with the resulting models, see translate.sunbird.ai.
Added TTS data for Luganda and English.
Data format changed, some duplicate sentences removed, and sentences partitioned into splits (train: 23,497; dev: 500, test: 500).
Initial commit of 25,000 sentences, with each sentence translated from English to Acholi, Ateso, Luganda, Lugbara and Runyankole.