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Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
In this paper, we present a way to address the constraint related to the lack of data by generating synthetic data and we present sequence-to-sequence models using Deep Learning for spelling correction in Wolof.
Low-Resourced Machine Translation for Senegalese Wolof Language
Natural Language Processing (NLP) research has made great advancements in recent years with major breakthroughs that have established new benchmarks.
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