Fon French Daily Dialogues Parallel Data
<p>We aim to collect, clean, and store corpora of Fon and French sentences for Natural Language Processing researches including Neural Machine Translation, Named Entity Recognition, etc. for Fon, a very low-resourced and endangered African native language.</p> <p>Fon (also called Fongbe) is an African-indigenous language spoken mostly in Benin, Togo, and Nigeria - by about 2 million people.</p> <p>As training data is crucial to the high performance of a machine learning model, the aim of this project is to compile the largest set of training corpora for the research and design of translation and NLP models involving Fon.</p> <p>Through crowdsourcing, Google Form Surveys, we gathered and cleaned #25377 parallel Fon-French# all based on daily conversations.</p> <p>To the crowdsourcing, creation, and cleaning of this version have contributed:</p> <p>1) Name: Bonaventure DOSSOU<br> Affiliation: MSc Student in Data Engineering, Jacobs University<br> Contact: femipancrace.dossou@gmail.com</p> <p>2) Name: Ricardo AHOUNVLAME<br> Affiliation: Student in Linguistics<br> Contact: tontonjars@gmail.com</p> <p>3) Name: Fabroni YOCLOUNON<br> Affiliation: Creator of the Label IamYourClounon<br> Contact: iamyourclounon@gmail.com</p> <p>4) Name: BeninLangues<br> Affiliation: BeninLangues<br> Contact: https://beninlangues.com/</p> <p>5) Name: Chris Emezue<br> Affiliation: MSc Student in Mathematics in Data Science, Technical University of Munich<br> Contact: chris.emezue@gmail.com</p> <p>_______________________________________________________</p> <p>To join as a contributor, please contact us at:<br> 1) https://twitter.com/bonadossou<br> 2) https://twitter.com/ChrisEmezue<br> 3) https://twitter.com/edAIOfficial<br> Or contact Bonaventure Dossou (femipancrace.dossou@gmail.com), Chris Emezue (chris.emezue@gmail.com)<br> _______________________________________________________</p> <p>Clavier Fongbé (WebView): https://bonaventuredossou.github.io/clavierfongbe/ (Made by Bonaventure Dossou)<br> Clavier Fongbé (Mobile Android Version): https://play.google.com/store/apps/details?id=com.fulbertodev.clavierfongbe&hl=en&gl=US (Fabroni Yoclounon, Bonventure Dossou et. al.)</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4