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

Text

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

Moslem, Gian Agnar - Personal Name;

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Penilaian anda saat ini :  

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.


Availability
Inventory Code Barcode Call Number Location Status
2007000884T40876T408762020Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T408762020
Publisher
Indralaya : Jurusan Teknik Informatika Fakultas Ilmu Komputer Universtas Sriwijaya., 2020
Collation
xiii, 41 hlm.; ill.; 28 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
005.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Teknik Informatika
Kalimat Tunggal
Specific Detail Info
-
Statement of Responsibility
TUTI
Other version/related

No other version available

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