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Author: Saima Munir

Affiliation: Department of Computer Science & Information Technology, University of Sargodht,40100 Sargodha , Pakistan, Pakistan

Keyword(s): URDU.KON-TB, Converted ability, Enhance features and MaltParser

Abstract: In this paper, we enhance features are the head & dependent relationship and functional tagset is marked by dependency grammar rules in URDU.KON-TB for increase the accuracy. The SSP and SSS tagset are using [1]. In this way, we conduct one experiment with six different feature models using MaltParser. First we check converted ability of URDU.KON-TB in domain of dependency parsing through conversion, so that’s why we need to proposed formula and defined rules.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Munir, S. (2020). Enhance Features in URDU.KON-TB. In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE; ISBN 978-989-758-431-2, SciTePress, pages 82-85. DOI: 10.5220/0009772800820085

@conference{iccsre20,
author={Saima Munir.},
title={Enhance Features in URDU.KON-TB},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE},
year={2020},
pages={82-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009772800820085},
isbn={978-989-758-431-2},
}

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE
TI - Enhance Features in URDU.KON-TB
SN - 978-989-758-431-2
AU - Munir, S.
PY - 2020
SP - 82
EP - 85
DO - 10.5220/0009772800820085
PB - SciTePress