# Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus

arXiv: https://arxiv.org/abs/2106.07241 · HTML: https://mlsanity.com/paper/2106.07241/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 19 references that are in the map.
- First posted on arXiv 14 Jun 2021.

## Built on by (most cited first, 4 of 4)

- [Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead](https://mlsanity.com/paper/2505.21315/) (2025)
- [Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval](https://mlsanity.com/paper/2505.19356/) (2025)
- [Unknown Script: Impact of Script on Cross-Lingual Transfer](https://mlsanity.com/paper/2404.18810/) (2024)
- [AmQA: Amharic Question Answering Dataset](https://mlsanity.com/paper/2303.03290/) (2023)

## 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.