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Atnafu Lambebo Tonja

Atnafu Lambebo Tonja has 6 papers in our library, in 2023–2026, most of them on Semitic languages, Machine translation, Language models & pretraining; often with Israel Abebe Azime, Bonaventure F. P. Dossou, Chris Chinenye Emezue.

6 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 9 · 66 works · 282 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 110 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6279

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. MasakhaNEWS: News Topic Classification for African languages (2023 · 81 citations)
    African languages are spoken by about a fifth of humanity, yet they have few evaluation datasets. Most existing news topic resources cover single languages, use inconsistent label sets, or were labelled with little human oversight. MasakhaNEWS addresses this gap. It is a news topic classification benchmark for 16…
  2. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR (2023 · 45 citations)
    Speech recognition systems now reach near-human accuracy on standard English benchmarks. They still perform poorly on African-accented speech, and no public resource existed for clinical ASR on such accents. This gap matters for African clinicians, who face heavy patient loads and could benefit from dictation tools.…
  3. Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets (2024 · 11 citations)
    Open LLMs such as LLaMA-2 were barely exposed to Amharic during pre-training. The existing adaptation, LLaMA-2-Amharic (Andersland, 2024), was instruction-tuned only on English instructions that had been machine-translated into Amharic. The authors ask whether native Amharic supervision can do better. They reuse…
  4. CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data (2026 · 3 citations)
    Language identification (LID) is often treated as a solved task. In practice, it remains unreliable for many languages on noisy, mixed web text, which is the main source of multilingual pre-training corpora. Most existing benchmarks, such as FLORES, UDHR and Bible data, are clean, translated or religious, so they…
  5. A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script. (2025 · 2 citations)
    Amharic NLP work often applies homophone normalization as a routine cleanup step. This step collapses Ge'ez-script characters that sound alike in Amharic into one character, which raises exact-match metrics such as BLEU. The authors argue that this habit quietly sets a standard for every language written in the…
  6. Afri-MCQA: Multimodal Cultural Question Answering for African Languages (2026)
    Afri-MCQA addresses a gap in multimodal AI evaluation. Existing cultural VQA benchmarks cover few African languages and query models only through text, even though many African languages are used mainly in spoken form. The authors built a benchmark of about 7.5k image-grounded question–answer pairs in 15 sub-Saharan…

All works

7 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetEmilio Villa-Cueva et al.2025 · 5 citations

 Co-authors here

12 of 26 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

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