A Computational Lexicalization Approach

Feng-Jen Yang


Fine-Grained lexicalization has been treated as a post process to refine the machine planned discourse and make the machine generated language more coherent and more fluent. Without this process, a system can still generate comprehensible languages but may sound unnatural and sometimes frustrate its users. To this end, generating coherent and natural sounding language is a major concern in any natural language system. In this paper, a lexicalization approach is presented to refine the machine generated language.


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  16. </S-ans> </T-elicits> <T-moves-toward-PT method-type=inner> <T-tutors-determinant> <T-elicits> K25-tu-50-1: And what determines cvp? (Acknowledgment omitted) <S-ans catg=correct> K25-st-51-1: Blood volume and "compliance" of the Venous side of the circ. </S-ans> <T-ack type=positive> K25-tu-52-1: Right. </T-ack> </T-elicits> <T-moves-toward-PT> </T-tutors-determinant> </T- tutors-via-determinants>

Paper Citation

in Harvard Style

Yang F. (2005). A Computational Lexicalization Approach . In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005) ISBN 972-8865-23-6X, pages 128-146. DOI: 10.5220/0002558301280146

in Bibtex Style

author={Feng-Jen Yang},
title={A Computational Lexicalization Approach},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005)},

in EndNote Style

JO - Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005)
TI - A Computational Lexicalization Approach
SN - 972-8865-23-6X
AU - Yang F.
PY - 2005
SP - 128
EP - 146
DO - 10.5220/0002558301280146