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Translation Analysis: Syntactic, Semantic, and Pragmatic Strategies Used in Translating A Website of an Academic Institution

ELS Journal on Interdisciplinary Studies in Humanities · Vol. 5 No. 3 (2022) · pp. 524–531

DOI
10.34050/elsjish.v5i3.23176
ISSN
2621-0835, 2621-0843
Published
2022-09-25
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

This research aims to discover the emerging translation strategies and the types of translation strategies most frequently used on a website of an academic institution. In finding the data, the researcher employs the descriptive qualitative method by applying the translation strategy theory proposed by Andrew Chesterman in the form of syntactic, semantic, and pragmatic strategies on a website of an academic institution such as the Universitas Hasanuddin website. There are 11 emerging translation strategies on the website; 4 Syntactic Strategies (Literal, Loan/Calque, Transposition, and Phrase Structural Change), 4 Semantic Strategies (Synonymy, Hyponymy, Distribution Change, and Pharaprase), and 3 Pragmatic Strategies (Explicitness Change, Information Change, and Transediting). The result shows that the most frequently used translation strategy is Syntactic Strategies (Literal 60% or 44 data, Loan/Calque 23% or 17 data, Transposition 8% or 6 data, and Phrase Structural Change also 8% or 6 data). Then the second one is Semantic Strategies (Synonymy 7% or 1 datum, Hyponymy 7% or 1 datum, Distribution Change 64% or 9 data, and Pharaprase 21% or 3 data), and last is Pragmatic Strategies (Explicitness Change 8% or 1 datum, Information Change 85% or 11 data, and Transediting 8% or 1 datum).

Keywords

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12 authors · 18 co-authorship links

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Co-authorOrganisationJoint articles
Hidayatullah YunusAffiliation unknown3
Rezky RamadhaniAffiliation unknown2
Imran Abu LibdaAffiliation unknown1
Muhammad Takbir AndiAffiliation unknown1
M. Syafri BadaruddinAffiliation unknown1
Widya HairunnisaAffiliation unknown1
Irmawati IrmawatiAffiliation unknown1
NuraniAffiliation unknown1
Amala Rosalind AnjanetteAffiliation unknown1

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://journal.unhas.ac.id/index.php/jish/oai, first harvested 3 Nov 2026, last seen 3 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Translation Analysis: Syntactic, Semantic, and Pragmatic Strategies Used in Translating A Website of an Academic Institution</dc:title>
	<dc:creator xml:lang="en">Latief, Muhammad Ridha Anugrah</dc:creator>
	<dc:creator xml:lang="en">Khaerana, A.ST.Aldilah</dc:creator>
	<dc:creator xml:lang="en">Soraya, Andi Inayah</dc:creator>
	<dc:subject xml:lang="en">Translation Analysis</dc:subject>
	<dc:subject xml:lang="en">Website Translation</dc:subject>
	<dc:subject xml:lang="en">Syntactic</dc:subject>
	<dc:subject xml:lang="en">Semantic</dc:subject>
	<dc:subject xml:lang="en">Pragmatic Strategy</dc:subject>
	<dc:description xml:lang="en">This research aims to discover the emerging translation strategies and the types of translation strategies most frequently used on a website of an academic institution. In finding the data, the researcher employs the descriptive qualitative method by applying the translation strategy theory proposed by Andrew Chesterman in the form of syntactic, semantic, and pragmatic strategies on a website of an academic institution such as the Universitas Hasanuddin website. There are 11 emerging translation strategies on the website; 4 Syntactic Strategies (Literal, Loan/Calque, Transposition, and Phrase Structural Change), 4 Semantic Strategies (Synonymy, Hyponymy, Distribution Change, and Pharaprase), and 3 Pragmatic Strategies (Explicitness Change, Information Change, and Transediting). The result shows that the most frequently used translation strategy is Syntactic Strategies (Literal 60% or 44 data, Loan/Calque 23% or 17 data, Transposition 8% or 6 data, and Phrase Structural Change also 8% or 6 data). Then the second one is Semantic Strategies (Synonymy 7% or 1 datum, Hyponymy 7% or 1 datum, Distribution Change 64% or 9 data, and Pharaprase 21% or 3 data), and last is Pragmatic Strategies (Explicitness Change 8% or 1 datum, Information Change 85% or 11 data, and Transediting 8% or 1 datum).</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-09-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jish/article/view/23176</dc:identifier>
	<dc:identifier>10.34050/elsjish.v5i3.23176</dc:identifier>
	<dc:source xml:lang="en">ELS Journal on Interdisciplinary Studies in Humanities; Vol. 5 No. 3 (2022): September; 524-531</dc:source>
	<dc:source>2621-0835</dc:source>
	<dc:source>2621-0843</dc:source>
	<dc:source>10.34050/elsjish.v5i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jish/article/view/23176/8701</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Muhammad Ridha Anugrah Latief, A.ST.Aldilah Khaerana, Andi Inayah Soraya</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>