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Dewi Santika

Biographic Data

ID9704309
NAMEDewi Santika
GIVEN NAMESDewi
FAMILY NAMESantika
SIGNATURESANTIKA D
AFFILIATIONSSebelas Maret University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • The Impact of Translation Techniques on the Accuracy of the Translation of Commissive Speech Acts’ Responses in Dark Matter Novel

    Open Access•Dewi Santika, Mangatur Nababan et al.•ARTICLE•Humanus•2020

    This study was conducted to describe the translation techniques’ impact on the accuracy of the translation of commissive speech act’s responses. The study used descriptive-qualitative research method. The source data used is a novel entitled Dark Matter. The primary data were translation techniques used to translating sentences represented commissive speech acts’ responses. Meanwhile, the secondary data were the quality of the translation of comm…

No prominent works on this page.

  • The Impact of Translation Techniques on the Accuracy of the Translation of Commissive Speech Acts’ Responses in Dark Matter Novel

    Open Access•Dewi Santika, Mangatur Nababan et al.•ARTICLE•Humanus•2020

    This study was conducted to describe the translation techniques’ impact on the accuracy of the translation of commissive speech act’s responses. The study used descriptive-qualitative research method. The source data used is a novel entitled Dark Matter. The primary data were translation techniques used to translating sentences represented commissive speech acts’ responses. Meanwhile, the secondary data were the quality of the translation of comm…

Artificial Intelligence (1 works) · Computer Science (1 works) · Language Acquisition and Education (1 works) · Linguistics (1 works) · Natural language processing (1 works) · Pragmatics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae