Low-resource NLP researcher, first author of the first public Wolof–MSA parallel corpus for machine translation
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papers here
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reviewed by Evolve
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first-author
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corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-21) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Output volume cannot be scored yet: this profile rests on a single reviewed 2026 arXiv paper, and no full publication count or productivity history is available. This axis would measure total papers, venue spread, and first-author share over time.
Impact—
No citation or influence data is available for scoring yet. This axis would measure citation counts, downstream reuse of the MudawanSn corpus, and uptake within African NLP and low-resource machine translation research.
Focus100/100
The focus score is 100: every reviewed output sits in a single field, computational linguistics (NLP). The cataloged MudawanSn paper targets one narrow problem — Wolof–Modern Standard Arabic machine translation resources — indicating a tightly concentrated early research agenda rather than scattered topic switches.
Collaboration14/100
The collaboration score is 14, reflecting just 1 distinct coauthor across the reviewed record — Thierno Diop, the recurring collaborator on the MudawanSn corpus work. All reviewed work is two-person first-author output, so team scale, international networks, and cross-institution reach cannot yet be assessed.
Activity—
Activity level cannot be scored yet: the record contains a single 2026 arXiv paper and no multi-year publication timeline. This axis would measure publication cadence, sustained output across years, and recent research momentum.
Reproducibility55/100
The reproducibility score is 55, computed from one reviewed paper. Evolve rates MudawanSn's reproducibility readiness as medium: the corpus protocol is described transparently and fine-tuning gains are real, but a small n=96 test set and a single translator limit independent verification of the 'gold-standard' claim.
Research summary
Mouhamed Mbaye is an early-stage researcher in computational linguistics whose reviewed work centers on low-resource language technology for African languages. The Evolve catalog currently holds one paper by this author: MudawanSn (arXiv, 2026), on which they are first author. The paper introduces the first public Wolof–Modern Standard Arabic parallel corpus, built from 1,271 human-translated sentence pairs, and reports real fine-tuning gains for machine translation between the two languages. Evolve's review credits the work with a transparent construction protocol and measurable fine-tuning improvements, while flagging that a small n=96 test set and reliance on a single translator weaken the 'gold-standard' framing; reproducibility readiness is rated medium. Bibliometric signals are correspondingly narrow: the profile spans a single field (computational linguistics/NLP), lists one distinct coauthor (Thierno Diop), and the collaboration score is 14, while concentrated topical output yields a focus score of 100. Output, impact, and activity axes lack sufficient data to score, and the reproducibility score of 55 rests on a single paper. Institutional affiliation, country, and ORCID are absent from the source data, so this profile is name-resolved from public bibliographic records and should be treated as an early-stage profile.
Collaboration pattern
The reviewed record shows an extremely compact collaboration footprint: 1 distinct coauthor, Thierno Diop, the recurring collaborator on the MudawanSn corpus work — yielding a collaboration score of 14. No institutional affiliation or cross-institution ties appear in the data, so whether this reflects a lone early-stage agenda or incomplete metadata coverage cannot be determined.
Research keywords
Highlights
First public Wolof–MSA parallel corpus
Transparent protocol, real fine-tuning gains
'Gold-standard' claim has limits
Timeline
- 2026First-author arXiv preprint MudawanSn appears, introducing a Wolof–Modern Standard Arabic parallel corpus for machine translation.
- 2026The corpus releases 1,271 human-translated sentence pairs — the first public Wolof–MSA parallel resource.
- 2026Evolve review records a transparent construction protocol and real fine-tuning gains, with reproducibility readiness rated medium.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Scores and raw counts are derived from the provided bibliometric snapshot plus a single reviewed paper; output, impact, and activity axes lack sufficient data to score.
- No institution, country, or ORCID is present in the source data; the profile is name-resolved from public bibliographic records and may merge or split namesakes.
- The timeline covers only 2026 because that is the sole paper year in the provided record.
- The reproducibility score (55) is computed from only one paper (reproPapers = 1), so it should be read as an early, low-confidence signal.