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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2014
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my.uitm.ir.871632024-02-24T17:04:27Z https://ir.uitm.edu.my/id/eprint/87163/ Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87163/1/87163.pdf Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah. (2014) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Programming languages (Electronic computers) S Agriculture (General) Ahmad Zubaidillah, Nur Syahida Automated agriculture terms dictionary using string parsing / Nur Syahida Ahmad Zubaidillah |
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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. |
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Thesis |
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Ahmad Zubaidillah, Nur Syahida |
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Ahmad Zubaidillah, Nur Syahida |
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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 |
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2014 |
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https://ir.uitm.edu.my/id/eprint/87163/1/87163.pdf https://ir.uitm.edu.my/id/eprint/87163/ |
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1792159412421394432 |
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13.18916 |