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All Journal Seminar Nasional Informatika (SEMNASIF) Indonesian Journal on Computing (Indo-JC) Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer SISFOTENIKA Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Charity : Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal Pengabdian Masyarakat Bangsa
Arie Ardiyanti Suryani
Universitas Telkom
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Journal : Indonesian Journal on Computing (Indo-JC)

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The Generating Indonesian Paraphrased Sentences with Verbal Predicate Replacement Bunyamin; Arie Ardiyanti Suryani
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.709

Abstract

Sentence paraphrasing is restating sentences using different diction without changing the meaning of the language. Paraphrasing sentences can be done in several ways, including synonym substitution techniques, changing sentence forms, or replacing the predicate part of sentence. This research aims to produce a paraphrased sentence generator with semantic similarities to the original sentence. The paraphrasing used in this research is to identify the verb type predicate in simple sentences using PoS Tagging. Then look for words similar to the predicate using the similarity of the word2vec model. A list of opposites antonyms is used to improve the lexical substitution results. Evaluation is done by using human judgment between the results and the original sentence. The experimental results show that of the 600 sentence datasets, 48.37% of the sentences have semantic similarities, 20.93% have semantic reductions, and 30.70% have no semantic similarities.
The Generating Indonesian Paraphrased Sentences with Verbal Predicate Replacement Bunyamin; Suryani, Arie Ardiyanti
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.709

Abstract

Sentence paraphrasing is restating sentences using different diction without changing the meaning of the language. Paraphrasing sentences can be done in several ways, including synonym substitution techniques, changing sentence forms, or replacing the predicate part of sentence. This research aims to produce a paraphrased sentence generator with semantic similarities to the original sentence. The paraphrasing used in this research is to identify the verb type predicate in simple sentences using PoS Tagging. Then look for words similar to the predicate using the similarity of the word2vec model. A list of opposites antonyms is used to improve the lexical substitution results. Evaluation is done by using human judgment between the results and the original sentence. The experimental results show that of the 600 sentence datasets, 48.37% of the sentences have semantic similarities, 20.93% have semantic reductions, and 30.70% have no semantic similarities.
Co-Authors Adelya Astari Ageng Prasetio Ardhianda, Maulana Muhammad Arfive Gandhi Atik Zilziana Muflihati Noor Bunyamin Bunyamin Donni Richasdy Eko Darwiyanto Fikri Haykal Hutari Gani, Prati Ibnu Asror Ignasius Indra Kusuma Wijaya Izzatul Ummah Kurniawan Nur Ramadhani Moch Arif Bijaksana Muhammad Fiqri Khaikal Muhammad Sandika Alam Muthia Virliani Prasetio, Ageng Rahma, Fifinella Ramadhan Wahyu Pratama Rimbawan, Awan Rochmawati, Rochmawati Ryan Armiditya Pratama Shaufiah . Siti Sa'adah Sri Widowati Tetya Arum Dhahyani Warih Maharani