Papers by Alla Lo
SENCORPUS: A French-Wolof Parallel Corpus (2020.lrec-1)
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| Challenge: | Currently, the corpus is being used to develop a neural machine translation model to translate French sentences into Wolof. |
| Approach: | They propose to build a bilingual parallel corpus between French and Wolof, a Niger-Congo language belonging to the Northern branch of the Atlantic group. |
| Outcome: | The proposed corpus contains 70,000 parallel sentences drawn on various sources from different domains. |
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French (2022.lrec-1)
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| Challenge: | Neural machine translation (NMT) systems can translate between French (FR) 1 and Wolof (WO, ISO 639-3), a lowresource Niger-Congo language mainly spoken in Senegal (Gamble, 1950). |
| Approach: | They propose two neural machine translation systems based on sequence-to-sequence with attention and Transformer architectures to translate between French (FR) 1 and Wolof (WO, ISO 639-3). |
| Outcome: | The proposed models outperform the classic sequence-to-sequence model in all settings and are less sensitive to noise. |