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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Edukasi: Jurnal Pendidikan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Applied Business and Technology
Marlim, Yulvia Nora
Institut Bisnis Dan Teknologi Pelita Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering

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Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

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Penerapan Metode Left Corner Parsing dan Analisis Kontekstual Pada Natural Language Processing Deny Jollyta; Muhammad Zarlis; Gusrianty Gusrianty; Yulvia Nora Marlim
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 1 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (68.29 KB) | DOI: 10.35957/jatisi.v7i1.269

Abstract

Natural language translation is very helpful in understanding each word or sentence based on the intended meaning. Variety of languages that are not easy to understand, cause miscommunication. Natural Language Processing (NLP) is the choice to translate human language with computer naturally. As one method of parsing, the left corner parsing describes languages ranging from the largest to the smallest constituent, namely the word. The decomposition is followed by representing the meaning or known as contextual interpretation. This study aims to describe the language using the left corner parsing which is equipped with analysis to determine the purpose of sentence using. The test results showed that the Left Corner Parsing method succeeded in deciphering sentences in accordance with the initial language pattern specified and provided the true contextual analysis and easily understood translation results.
Co-Authors Alyauma Hajjah Chandra Putra Dinata Deny Jollyta Erlin Gusrianty Gusrianty Gusrio Tendra Jollyta, Deny Junadhi Junadhi Laili Suryati Leonardo Yang Marcellino Marcellino Muhammad Zarlis Nova Agustina Ramalia Noratama Putri Saputra, Fandri Wahyu Joni Kurniawan Wilda Susanti