Ivan Berlocher

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This article describes an exclusively resource-based method of morphological annotation of written Korean text. Korean is an agglutinative language. Our annotator is designed to process text before the operation of a syntactic parser. In its present state, it annotates one-stem words only. The output is a graph of morphemes annotated with accurate(More)
Question-Answering (QA) systems like IBM Watson are particularly challenging to design and need to cover areas including computational linguistics, information retrieval, knowledge representation and reasoning, and machine learning. ‘Exobrain’ is a Korean Research Program which aims at building such a high-performing QA system for the Korean Language. In(More)
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