A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer

Automatic Text Summarization (ATS) has benefited users in terms of identifying and extracting the most salient information from a given text with less effort. The application of Sentence Compression (SC) in ATS is to remove unimportant constituents from a summary sentence while preserving the salien...

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Bibliographic Details
Main Author:	Alias, Suraya
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf
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id	my-usm-ep.43757
record_format	uketd_dc
spelling	my-usm-ep.437572019-04-12T05:24:52Z A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer 2018-01 Alias, Suraya QA75.5-76.95 Electronic computers. Computer science Automatic Text Summarization (ATS) has benefited users in terms of identifying and extracting the most salient information from a given text with less effort. The application of Sentence Compression (SC) in ATS is to remove unimportant constituents from a summary sentence while preserving the salient ones by keeping the sentence’s grammar intact. Most previous SC techniques have a high dependency on syntactic rules and knowledge applied to individual word or phrase to cater the removal decision. Despite the ability to produce a new grammatical compressed sentence, prior approaches still suffer several drawbacks including the failure to include some significant and relevant sentences in constructing the final summary sentence. 2018-01 Thesis http://eprints.usm.my/43757/ http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Alias, Suraya A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
description	Automatic Text Summarization (ATS) has benefited users in terms of identifying and extracting the most salient information from a given text with less effort. The application of Sentence Compression (SC) in ATS is to remove unimportant constituents from a summary sentence while preserving the salient ones by keeping the sentence’s grammar intact. Most previous SC techniques have a high dependency on syntactic rules and knowledge applied to individual word or phrase to cater the removal decision. Despite the ability to produce a new grammatical compressed sentence, prior approaches still suffer several drawbacks including the failure to include some significant and relevant sentences in constructing the final summary sentence.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Alias, Suraya
author_facet	Alias, Suraya
author_sort	Alias, Suraya
title	A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
title_short	A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
title_full	A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
title_fullStr	A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
title_full_unstemmed	A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
title_sort	pattern-growth sentence compression technique for malay text summarizer
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2018
url	http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf
_version_	1747821272763465728

A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer

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