Advancing Language Diversity and Inclusion: Towards a Neural Network-based Spell Checker and Correction for Wolof
Thierno Ibrahima Cissé, Fatiha Sadat • Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING • 2024
Introduces a neural spell-checking approach for Wolof using transformer models trained on semi-automatically generated pairs of misspelled and corrected sentences. The paper reports promising results for improving text quality in a low-resource language setting and contributes to more accessible digital communication for under-represented languages.