Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus

Andargachew Mekonnen Gezmu, Binyam Ephrem Seyoum, Michael Gasser, Andreas Nürnberger


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.
Anthology ID:
W18-3809
Volume:
Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venues:
COLING | LR4NLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
65–70
Language:
URL:
https://www.aclweb.org/anthology/W18-3809
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-3809.pdf