Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
arXiv:2106.07241
Abstract
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.
Published in Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing at COLING 2018