A resource-based Korean morphological annotation system
Hyun-Gue Huh (IGM-LabInfo), Eric Laporte (IGM-LabInfo)

TL;DR
This paper presents a resource-based system for Korean morphological annotation that directly uses a lexicon, enabling easy updates and accurate linguistic annotation of agglutinative Korean text.
Contribution
It introduces a novel resource-based approach that performs morphological annotation without relying on morphological rules, allowing for flexible updates.
Findings
Accurate morphological annotation achieved
System allows easy updates of language resources
Annotation performed directly with a lexicon
Abstract
We describe a resource-based method of morphological annotation of written Korean text. Korean is an agglutinative language. The output of our system is a graph of morphemes annotated with accurate linguistic information. The language resources used by the system can be easily updated, which allows us-ers to control the evolution of the per-formances of the system. We show that morphological annotation of Korean text can be performed directly with a lexicon of words and without morpho-logical rules.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Speech and dialogue systems
