Semantic Errors in the Translation about Actions to Defend Islam in 2016 into English

Pudjiati, Danti; Fadilah, Elisa M

doi:10.2991/icclas-17.2018.24

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…TikTok machine translation is incapable of translating accurately because it does not know the context of the situation and translates it literally. Contrary to the findings of research conducted by Pudjiati and Fadilah (2017), the most frequently encountered error type on Instagram machine translation is the error in grammatical meaning.…”

Section: Badly Beautiful Colorcontrasting

confidence: 75%

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Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account

Utami,

Utami

2023

Lingua Cultura

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The research observed the semantic errors in lexis that occurred in the translation by TikTok machine translation. It became the main issue in translation studies because the accuracy of translation produced by machine translation was still questionable and debatable. The research aimed to identify the types of semantic error in lexis made by TikTok auto machine translation found in Tasya Farasya TikTok’s account and suggested a more appropriate translation. The research applied a descriptive qualitative method to analyze the error in translation produced by TikTok machine translation. The theory proposed by Sayogie (2014) was used to classify the data based on semantic aspects: grammatical meaning, contextual meaning, and referential meaning. The research results show that three types of errors are found, and the most frequent error found is an error in contextual meaning. TikTok machine translation is incapable of translating accurately because it does not know the context of the situation and translates it literally. Based on research findings, TikTok users cannot entirely rely on machine translation because it still has weaknesses in translating several terms. Thus, it is highly important that TikTok should evaluate and improve the quality of the machine translation.

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Section: Badly Beautiful Colorcontrasting

confidence: 75%

“…There is much research related to semantic errors in translation. One of them is the research conducted by Pudjiati and Fadilah (2017). This research examines semantic errors in translated captions in the Hizbut Tahrir Indonesia (HTI) Instagram account.…”

Section: Introductionmentioning

confidence: 99%

Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account

Utami,

Utami

2023

Lingua Cultura

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“…In assessing the acceptability of the translation, the researchers applied semantic analysis on the lexical items constructing the cultural terms to see whether the SL word is equally translated to the TL word or not. Nearly similar research was conducted by (Pudjiati, 2018) who evaluated the semantic errors in the Instagram machine translation of HTI account captions. The research shows that there are errors in grammatical, contextual, and referential meanings.…”

Section: Introductionmentioning

confidence: 99%

Revealing Translation Techniques Applied in the Translation of Batik Motif Names in See Instagram

Purwaningsih

Sholikhah

Wardani

2021

celt

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This article discusses one of the forms of machine translation, the Instagram translation feature called “see translation”. The research is focused on the translation techniques applied by the machine in translating Banyumas batik motifs from Indonesian to English found in @batikantodjamil and @batk_rd. This topic is worth discussing since machine translation is now getting more developed and is projected to replace human translator. However, in some cases, for example in dealing with culturally-bound terms, machine translation cannot perform contextual knowledge as well as the human translator. this mini research was conducted by applying qualitative research with purposive sampling technique in which the researchers obtain the data by selecting two batik center Instagram accounts containing batik motif names in the captions. The result shows that there are three translation techniques applied by the Instagram translation features, namely literal, borrowing, and particularization. The most dominant technique to use is borrowing technique, and it shows a tendency that such cultural terms in the source language do not have one-to-one correspondence in the target language. In other words, the touch of human translator is very important in the post-editing process of translation by machine to make the translation more acceptable. However, if it is impossible to involve human translator, the Instagram administrator should enrich the machine with more contextual linguistic database to provide the users with better translation results.

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Semantic Errors in the Translation about Actions to Defend Islam in 2016 into English

Cited by 2 publications

References 5 publications

Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account

Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account

Revealing Translation Techniques Applied in the Translation of Batik Motif Names in See Instagram

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