loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Feng-Jen Yang

Affiliation: Prairie View A&M University, United States

Abstract: 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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.213.80.203

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

@conference{nlucs05,
author={Feng{-}Jen Yang.},
title={A Computational Lexicalization Approach},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS},
year={2005},
pages={128-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002558301280146},
isbn={972-8865-23-6X},
}

TY - CONF

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