DETEKSI STRUKTUR KALIMAT TUNGGAL BAHASA INDONESIA MENGGUNAKAN POS TAGGING DAN ALGORITMA LALR PARSER

MOSLEM, GIAN AGNAR and Yusliani, Novi (2020) DETEKSI STRUKTUR KALIMAT TUNGGAL BAHASA INDONESIA MENGGUNAKAN POS TAGGING DAN ALGORITMA LALR PARSER. Undergraduate thesis, Sriwijaya University.

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Abstract

The presentation of languages in written form can save knowledge from generation to generation. Every writing of a paper such a book, should be written in a correct grammar according to the rules of Indonesian Language, because it will affect the perfection of the process of delivering ideas or messages. This research was conducted to help examine the Indonesian sentence structure, with the aim of helping to examine the sentence structure of the Indonesian language using the POS Tagging and LALR Parser. POS Tagging is a technique used to identify the class of words that are in a sentence, such a nouns, verbs, adjectives and others. LALR Pasrser is one of the methods used in examinig sentence structure. By the 150 sentences tested on the system, 124 sentences show the correct sentence structure. Whereas 26 sentences show the wrong sentence structure. Detection failure caused by several factors such as sentences structure not in accordance with the rules of Indonesian language and the words contained in sentence are not available on the corpus.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Struktur Kalimat, POS Tagging, LALR Parser
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > T Technology (General) > T59.4 Mechanization T Technology > T Technology (General) > T59.5 Automation
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 10214 not found.
Date Deposited:	25 Jan 2021 03:18
Last Modified:	25 Jan 2021 03:18
URI:	http://repository.unsri.ac.id/id/eprint/40876

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