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Paraphrasing Method Based on Contextual Synonym Substitution

Journal of ICT Research and Applications (JICTRA) · Vol. 13 No. 3 (2019) · pp. 257–282

DOI
10.5614/itbj.ict.res.appl.2019.13.3.6
ISSN
2338-5499, 2337-5787
Published
2019-12-31
Publisher
DRI - ITB
Language
eng

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.

Keywords

Collaboration network of the authors

7 authors · 6 co-authorship links · 1 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Telkom University
  • Universitas PGRI Kalimantan
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hasmawati HasmawatiTelkom University1
Prasti Eko YunantoTelkom University1
Farah AfiantiTelkom University1
Widhian BramantyaTelkom University1
Soni YoraTelkom University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Paraphrasing Method Based on Contextual Synonym Substitution</dc:title>
	<dc:creator>Barmawi, Ari Moesriami</dc:creator>
	<dc:creator>Muhammad, Ali</dc:creator>
	<dc:subject xml:lang="en-US">context</dc:subject>
	<dc:subject xml:lang="en-US">language</dc:subject>
	<dc:subject xml:lang="en-US">paraphrasing</dc:subject>
	<dc:subject xml:lang="en-US">synonym</dc:subject>
	<dc:subject xml:lang="en-US">substitution</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2019-12-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/10680</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2019.13.3.6</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 13 No. 3 (2019); 257-282</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/10680/4532</dc:relation>
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