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Kota banda aceh,
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INDONESIA
Englisia Journal
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Core Subject : Education,
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Articles 372 Documents
The impact of contextual understanding on neural machine translation accuracy: A case study of Indonesian cultural idioms in English translation Dewayanti, Desakh Putu Setyalika Putri; Margana, Margana
Englisia Journal Vol 12 No 1 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ej.v12i1.24433

Abstract

The translation of Indonesian idiomatic expressions into English using Neural Machine Translation (NMT) systems presents significant challenges due to the intricate nature of idiomatic language. Idioms are culturally embedded constructs conveying meanings different from their literal interpretations. This study explores the effectiveness of NMT systems in capturing and translating Indonesian idiomatic expressions into English. Using a qualitative approach, 150 diverse Indonesian idioms were evaluated through Google Translate and DeepL. Each idiom was assessed for semantic accuracy, syntactic coherence, and contextual fidelity. Qualitative analysis provided a comprehensive evaluation of translation quality. Findings reveal significant challenges for NMT systems in translating idiomatic expressions. Both Google Translate and DeepL show strengths in some areas, but also have limitations. While they generally capture literal meanings, they often miss metaphorical nuances and cultural connotations. Syntactic errors such as incorrect word order and tense inconsistencies are common, especially in complex idioms. In addition, contextual fidelity analysis shows that NMT systems struggle with contextual appropriateness and pragmatic usage, resulting in translations lacking cultural sensitivity and relevance. These challenges highlight the need for improved algorithms to better interpret and translate idiomatic language across cultural contexts. Accurate idiom translation is crucial for language learners to understand cultural nuances and idiomatic usage. Enhancing the capabilities of NMT systems requires refining algorithms, developing context-aware models, and expanding training datasets with diverse idiomatic expressions. Overcoming these challenges will advance machine translation capabilities and improve cross-cultural communication and language learning experiences.
An analysis of teacher’s multilingual practices used in teaching EFL students Muthalib, Kismullah Abdul; Ummah, Sari Yatul; Silviyanti, Tgk Maya
Englisia Journal Vol 12 No 1 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ej.v12i1.24783

Abstract

The aim of this study was to analyze the multilingual practices and predominant languages used by an English teacher during classroom activities. It also sought to assess students' reactions to the teacher's language use and to determine the rationale for the teacher's choice of each language in the English language classroom. Six observations were conducted in the three selected classes to assess the use of Indonesian, English, Kluet, Jamee and Acehnese in classroom activities. A total of 48 student respondents from three classes completed the questionnaires, with the English teacher at Junior High School 1 Kluet Timur serving as the sample. The results showed that Indonesian was the most dominant language used in the classroom with a rate of 47.1%, followed by English, Kluet Jamee and Acehnese. The responses to the questionnaire showed that the students believed that using Indonesian and local languages in learning English could help them to understand the material presented by the teacher. In addition, the study showed that the teacher's reason for using Indonesian and local languages was to enhance students’ comprehension of English materials, which ensure effective learning.