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HIzkiel Mitiku Alemayehu

HIzkiel Mitiku Alemayehu has 3 papers in our library, in 2020–2026, most of them on Semitic languages, Machine translation, Sentiment & emotion; often with Seid Muhie Yimam, Abinew Ali Ayele, Atnafu Lambebo Tonja.

3 papers in our library · 2020–2026

OpenAlex · h-index 2 · 6 works · 60 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 36 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6990

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

🎓Paderborn UniversityPaderborn · Germany2022–2026 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 3 worksSentiment & emotion · 1 workMachine translation · 1 workKnowledge graphs & ontologies · 1 workLow-resource languages · 1 work

 Works by year

2020s

20261 paper20251 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models (2020 · 87 citations)
    The paper addresses sentiment analysis for Amharic, a low-resource language. Amharic lacks annotated corpora and annotation infrastructure. Mainstream crowdsourcing services such as MTurk do not support Ethiopian requesters, and most local users work on phones over slow connections. After trying a spreadsheet and…
  2. 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…
  3. Amharic DBpedia Chapter: A Knowledge Graph for a Low-Resource Language (2026)
    DBpedia builds open knowledge graphs from Wikipedia through language-specific chapters, but low-resource languages are poorly covered.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification ModelsInternational Conference on Computational Linguistics (COLING)Seid Muhie Yimam, Hizkiel Mitiku Alemayehu, Abinew Ayele, et al.2020 · 87 citations
  2. Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetHizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo2024 · 6 citations
  3. A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script.Conference on Empirical Methods in Natural Language Processing (EMNLP)Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew, et al.2025 · 2 citations
  4. Amharic DBpedia Chapter: A Knowledge Graph for a Low-Resource LanguageLanguage Resources and Evaluation Conference (LREC)HIzkiel Mitiku Alemayehu, Tilahun Abedissa Taffa, Meti Adane Bayissa, et al.2026

 Co-authors here

11 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 36 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

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