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...
Saved in:
Main Author: | Alias, Suraya |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bootstrapping Kelantan and Sarawak Malay dialect models on text and phonetic analyses in text-to-speech system
by: Khaw, Jasmina Yen Min
Published: (2017) -
Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
by: Rostam, Nur Aqilah Paskhal
Published: (2019) -
Performance characterization of robust header compression (ROHC) over satellite based unidirectional link (UDL).
by: Ang, Way Chuang
Published: (2011) -
Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
by: Abasi, Ammar Kamal Mousa
Published: (2021) -
Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering
by: Abualigah, Laith Mohammad Qasim
Published: (2018)