Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures

Saved in:
Bibliographic Details
Main Author: Wong, Linda Lin Juan
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://ir.unimas.my/id/eprint/24890/2/Detecting%20semantically%20similar%20ftext.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-unimas-ir.24890
record_format uketd_dc
spelling my-unimas-ir.248902023-05-17T08:41:12Z Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures 2018 Wong, Linda Lin Juan QA75 Electronic computers. Computer science Universiti Malaysia Sarawak, (UNIMAS) 2018 Thesis http://ir.unimas.my/id/eprint/24890/ http://ir.unimas.my/id/eprint/24890/2/Detecting%20semantically%20similar%20ftext.pdf text en validuser masters Universiti Malaysia Sarawak Faculty of Computer Science and Information Technology
institution Universiti Malaysia Sarawak
collection UNIMAS Institutional Repository
language English
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Wong, Linda Lin Juan
Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
description
format Thesis
qualification_level Master's degree
author Wong, Linda Lin Juan
author_facet Wong, Linda Lin Juan
author_sort Wong, Linda Lin Juan
title Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
title_short Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
title_full Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
title_fullStr Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
title_full_unstemmed Detecting Semantically Similar Constructs using Google Trigram Sentence Similarity Measures
title_sort detecting semantically similar constructs using google trigram sentence similarity measures
granting_institution Universiti Malaysia Sarawak
granting_department Faculty of Computer Science and Information Technology
publishDate 2018
url http://ir.unimas.my/id/eprint/24890/2/Detecting%20semantically%20similar%20ftext.pdf
_version_ 1783728281698172928