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All Journal Journal of ICT Research and Applications Jurnal Abadimas Adi Buana Jurnal Linguistik Komputasional Jurnal Onoma: Pendidikan, Bahasa, dan Sastra International Journal of Economy, Education and Entrepreneurship (IJE3) Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Manajemen Informatika & Teknologi Journal of Artificial Intelligence and Digital Business Telecommunications, Networks, Electronics, and Computer Technologies (TELNECT) Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI)
Ali Muhammad
Universitas Sains Indonesia
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Other

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Journal : Journal of ICT Research and Applications

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Paraphrasing Method Based on Contextual Synonym Substitution Ari Moesriami Barmawi; Ali Muhammad
Journal of ICT Research and Applications Vol. 13 No. 3 (2019)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.6

Abstract

Generating paraphrases is an important component of natural language processing and generation. There are sev­eral applications that use paraphrasing, for example linguistic steganography, recommender systems, machine translation, etc. One method for paraphrasing sentences is by using synonym substitution, such as the NGM-based paraphrasing method proposed by Gadag et al. The weakness of this method is that ambiguous meanings frequently occur because the paraphrasing process is based solely on n-gram. This negatively affects the naturalness of the paraphrased sentences. For overcoming this problem, a contextual synonym substitution method is proposed, which aims to increase the naturalness of the paraphrased sentences. Using the proposed method, the paraphrasing process is not only based on n-gram but also on the context of the sentence such that the naturalness is increased. Based on the experimental result, the sentences generated using the proposed method had higher naturalness than the sentences generated using the original method.
Co-Authors Ajabaan A. K., El Faathir Akhmad Syarwani Angge Firizkiansah Ardiansyah, Miri Ari Moesriami Barmawi Diwanni, Feby Djojosugito, Muhammad Aria Armada Herawati Fransiska Dewi, Siti Hidayat, Muhammad Kamariah Kamariah M. Rizki Zulkarnain Maulana, Imron Rizki Novia Winda Novitasari, Yuli Putri, Syakila Harika Ramadhan, Afrijal Gigih Setiawan, Dita Siti Herawati Fransiska Dewi Subandi Subandi Widyastuti, Nurul