Parameterizing and Eliciting Text Elements across Languages for Use in Natural Language Processing Systems

Authors:
Marjorie McShane;Sergei Nirenburg
Affiliations:
Institute of Language and Information Technologies, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA., E-mail: marge@umbc.edu USA;Institute of Language and Information Technologies, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA., E-mail: sergei@umbc.edu USA
Venue:
Machine Translation
Year:
2003

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Abstract

This paper analyzes the structure and meaning of text elements cross-linguistically and discusses how that information can be elicited from people in a way that is directly useful for NLP applications. We describe a recently developed computer-based linguistic knowledge elicitation system that initiates a new paradigm of knowledge acquisition methodologies for NLP. In particular, we describe the natural language phenomena the system seeks to cover, the approach to knowledge elicitation and its rationale, the elicitation modules themselves, and broader implications of this work.