Processing of Korean Natural Language Queries Using Local Grammars

Authors:
Tae-Gil Noh;Yong-Jin Han;Seong-Bae Park;Se-Young Park
Affiliations:
Department of Computer Engineering, Kyungpook National University, Daegu, Korea 702-701;Department of Computer Engineering, Kyungpook National University, Daegu, Korea 702-701;Department of Computer Engineering, Kyungpook National University, Daegu, Korea 702-701;Department of Computer Engineering, Kyungpook National University, Daegu, Korea 702-701
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

Citing 8
Cited 0

INTEX: an FST toolbox

Theoretical Computer Science - Special issue on implementing automata
A guided tour to approximate string matching

ACM Computing Surveys (CSUR)
Outilex, a linguistic platform for text processing

COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
An exploration of the principles underlying redundancy-based factoid question answering

ACM Transactions on Information Systems (TOIS)
How useful are natural language interfaces to the semantic web for casual end-users?

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
SPARK: adapting keyword query to semantic search

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A natural language query interface to structured information

ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Towards semantically-interlinked online communities

ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer systems. This paper proposes a method to parse and understand Korean natural language queries with local grammars. A local grammar is a formalism that can model syntactic structures and synonymous phrases. With local grammars, the system directly extracts user's intentions from natural language queries. With 163 hand-crafted local grammar graphs, the system could attain a good level of accuracy and meaningful coverage over IT company/people domain.