Similarity - An adaptable sentence segmentation based on Indonesian rules

ermatita, ermatita (2023) Similarity - An adaptable sentence segmentation based on Indonesian rules. Institute of Advanced Engineering and Science (IAES).

[thumbnail of Similarity - An adaptable sentence segmentation based on Indonesian rules.pdf] Text
Similarity - An adaptable sentence segmentation based on Indonesian rules.pdf

Download (2MB)

Abstract

Similarity - An adaptable sentence segmentation based on Indonesian rules

Item Type: Other
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User: Dr Ermatita zuhairi
Date Deposited: 09 Jun 2023 00:30
Last Modified: 09 Jun 2023 00:30
URI: http://repository.unsri.ac.id/id/eprint/107476

Actions (login required)

View Item View Item