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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/43757/ http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf |
| _version_ | 1848879890682609664 |
|---|---|
| author | Alias, Suraya |
| author_facet | Alias, Suraya |
| author_sort | Alias, Suraya |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T17:54:25Z |
| format | Thesis |
| id | usm-43757 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:54:25Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-437572019-04-12T05:24:52Z http://eprints.usm.my/43757/ A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer 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 NonPeerReviewed application/pdf en http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf Alias, Suraya (2018) A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Alias, Suraya A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer |
| title | 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_short | A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer |
| title_sort | pattern-growth sentence compression technique for malay text summarizer |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/43757/ http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf |