FrancophonIA/Fon_French_Daily_Dialogues_Parallel_Data

Dataset origin: https://zenodo.org/records/4432712

Description

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.

Fon (also called Fongbe) is an African-indigenous language spoken mostly in Benin, Togo, and Nigeria - by about 2 million people.

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.

Through crowdsourcing, Google Form Surveys, we gathered and cleaned #25377 parallel Fon-French# all based on daily conversations.

To the crowdsourcing, creation, and cleaning of this version have contributed:

1. Name: Bonaventure DOSSOU Affiliation: MSc Student in Data Engineering, Jacobs University Contact: [email protected]

2. Name: Ricardo AHOUNVLAME Affiliation: Student in Linguistics Contact: [email protected]

3. Name: Fabroni YOCLOUNON Affiliation: Creator of the Label IamYourClounon Contact: [email protected]

4. Name: BeninLangues Affiliation: BeninLangues Contact: https://beninlangues.com/

5. Name: Chris Emezue Affiliation: MSc Student in Mathematics in Data Science, Technical University of Munich Contact: [email protected]

Citation

@article{2103.08052, Author = {Bonaventure F. P. Dossou and Chris C. Emezue}, Title = {Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language}, Year = {2021}, Eprint = {arXiv:2103.08052}, Howpublished = {African NLP, EACL 2021}}

@inproceedings{emezue-dossou-2020-ffr, title = "{FFR} v1.1: {F}on-{F}rench Neural Machine Translation", author = " Dossou, Femi Pancrace Bonaventure and Emezue, Chris Chinenye", booktitle = "Proceedings of the The Fourth Widening Natural Language Processing Workshop", month = jul, year = "2020", address = "Seattle, USA", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.winlp-1.21", doi = "10.18653/v1/2020.winlp-1.21", pages = "83--87"}