Automatic Part of Speech Tagging For, Amharic Language an Experiment Using Stochastic Hidden Markov (Hmm) Approach
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Date
2001-06
Authors
Getachew, Mesfin
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Publisher
Addis Ababa University
Abstract
Natural Language processing, as a field of scientific inquiry, plays an important role in
increasing computers capability to understand natural languages. Part of speech (POS)
tagging is one effort in the task of understanding natural language, the language by which
most human knowledge is recorded. The task of POS tagging is to assign unique part of speech tags to sentences that are presented
as a linear string of words. POS tagging systems, which annotate corpora written in various
languages (e.g. English), are used as components in many applications including phrase
recognition, word sense disambiguation, grammatical function assigmnents and many others.Today, taggers of different kinds have been developed for languages, which have relatively
wider use nationally and/or internationally. The same story is not true for Amharic, the
working language of the Federal Government of Ethiopia, and one of the major languages of
Ethiopia (Bender, 1976) for there are no systems (taggers of any sort) that all Notate corpora
written in this language.
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Information Science