Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
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Abstract (arXiv)
We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-syntactic information. Texts are collected from 25,199 documents from different domains and about 24 million orthographic words are tokenized. Since it is partly a web corpus, we made some automatic spelling error correction. We have also modified the existing morphological analyzer, HornMorpho, to use it for the automatic tagging.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 0 of its 19 references that are in the map. First posted on arXiv 14 Jun 2021.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 2.
4 papers.
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 15
- 2025Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrievalcited by 3
- 2024Unknown Script: Impact of Script on Cross-Lingual Transfercited by 2
- 2023AmQA: Amharic Question Answering Datasetcited by 1
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead27 May 2025
- 2025Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval25 May 2025
- 2024Unknown Script: Impact of Script on Cross-Lingual Transfer29 Apr 2024
- 2023AmQA: Amharic Question Answering Dataset6 Mar 2023