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Methods for Amharic part-of-speech tagging
Number of Authors: 4
2009 (English)In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, 2009, 1, , 8 p.Conference paper (Refereed)
Abstract [en]

The paper describes a set of experiments involving the application of three state-of- the-art part-of-speech taggers to Ethiopian Amharic, using three different tagsets. The taggers showed worse performance than previously reported results for Eng- lish, in particular having problems with unknown words. The best results were obtained using a Maximum Entropy ap- proach, while HMM-based and SVM- based taggers got comparable results.

Place, publisher, year, edition, pages
2009, 1. , 8 p.
Keyword [en]
part-of-speech tagging, amharic, machine learning
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-23519OAI: diva2:1042595
First Workshop on Language Technologies for African Languages
Available from: 2016-10-31 Created: 2016-10-31

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Computer and Information Science

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ReferencesLink to record
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