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dc.contributor.advisorSetia, Eddy
dc.contributor.advisorLubis, Tasnim
dc.contributor.authorMaulana, Wahyu
dc.date.accessioned2025-09-11T05:05:24Z
dc.date.available2025-09-11T05:05:24Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/108363
dc.description.abstractThis study aims to evaluate the effectiveness of the corpus-based method using AntConc as the primary tool in Indonesian terminology research. A qualitative approach with a descriptive method was employed to analyze the Indonesian text corpus using AntConc. The findings demonstrate that the corpus-based method using AntConc is an effective approach in Indonesian terminology research. enabling the identification of terminology usage patterns and a better understanding of contextual usage. This method offers significant benefits in enhancing the understanding of Indonesian terminology and supports the broader application of corpus-based methods in terminology research The use of AniConc in this study facilitated the efficient collection and organization of the Indonesian text corpus, providing valuable insights into terminology comprehension. Moreover, the corpus-based method has proven effective in analyzing terminology and its usage contexts, with the ability to identify patterns and trends that may not be apparent through other approaches. In conclusion, the corpus-based method using AntCone is effective in Indonesian terminology research, offering valuable insights for the development of Indonesian terminology understanding and the application of corpus-based methods in terminology studies in generalen_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectterminologyen_US
dc.subjectterm extractionen_US
dc.subjecttranslationen_US
dc.subjectcorpusen_US
dc.subjectAntConcen_US
dc.titleEkstraksi dan Terjemahan Istilah Khusus Berbasis Korpus untuk Pengembangan Termbase Linguistik Bahasa Indonesia-Inggrisen_US
dc.title.alternativeTerm Extraction and Translation Based on Corpus for the Development of a Linguistic Domain Termbaseen_US
dc.typeThesisen_US
dc.identifier.nimNIM197009005
dc.identifier.nidnNIDN0012045708
dc.identifier.nidnNIDN0121037701
dc.identifier.kodeprodiKODEPRODI79102#Linguistik
dc.description.pages161 Pagesen_US
dc.description.typeTesis Magisteren_US
dc.subject.sdgsSDGs 4. Quality Educationen_US


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