Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah

This paper proposed the task of generating terms dictionary in the Agriculture domain. Its purpose is to generate only important terms using in Agriculture fields from Hypertext Mark-up Language (.html) file and Word Document (.doc) file as the input. The goal is to create a prototype which can auto...

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Bibliographic Details
Main Author:	Ahmad Zubaidillah, Nur Syahida
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Programming languages (Electronic computers) S Agriculture (General)
Online Access:	https://ir.uitm.edu.my/id/eprint/87163/1/87163.pdf
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id	my-uitm-ir.87163
record_format	uketd_dc
spelling	my-uitm-ir.871632024-02-24T17:04:27Z Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah 2014 Ahmad Zubaidillah, Nur Syahida Programming languages (Electronic computers) S Agriculture (General) This paper proposed the task of generating terms dictionary in the Agriculture domain. Its purpose is to generate only important terms using in Agriculture fields from Hypertext Mark-up Language (.html) file and Word Document (.doc) file as the input. The goal is to create a prototype which can automatically read the string from this type of file and then extracts their terms. The limitation of the previous manual work for generating terms are known to be labour-intensive, limitation of applicability and time consuming. Terms extracted are the smallest fragments of texts in documents, rather than the entire documents that contain the texts. After analyzing the characteristics of terms in Agriculture Dictionary, we propose a string parsing method to deal with the task. 2014 Thesis https://ir.uitm.edu.my/id/eprint/87163/ https://ir.uitm.edu.my/id/eprint/87163/1/87163.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Jamil, NurSuriati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jamil, NurSuriati
topic	Programming languages (Electronic computers) S Agriculture (General)
spellingShingle	Programming languages (Electronic computers) S Agriculture (General) Ahmad Zubaidillah, Nur Syahida Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
description	This paper proposed the task of generating terms dictionary in the Agriculture domain. Its purpose is to generate only important terms using in Agriculture fields from Hypertext Mark-up Language (.html) file and Word Document (.doc) file as the input. The goal is to create a prototype which can automatically read the string from this type of file and then extracts their terms. The limitation of the previous manual work for generating terms are known to be labour-intensive, limitation of applicability and time consuming. Terms extracted are the smallest fragments of texts in documents, rather than the entire documents that contain the texts. After analyzing the characteristics of terms in Agriculture Dictionary, we propose a string parsing method to deal with the task.
format	Thesis
qualification_level	Bachelor degree
author	Ahmad Zubaidillah, Nur Syahida
author_facet	Ahmad Zubaidillah, Nur Syahida
author_sort	Ahmad Zubaidillah, Nur Syahida
title	Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
title_short	Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
title_full	Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
title_fullStr	Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
title_full_unstemmed	Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah
title_sort	automated agriculture terms dictionary using string parsing / nur syahida ahmad zubaidillah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/87163/1/87163.pdf
_version_	1794192115668877312

Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah

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