Subtitling Swear Words from English into Chinese: A Corpus-Based Study of &amp;lt;i&amp;gt;Big Little Lies&amp;lt;/i&amp;gt;

Wu, Shuangjiao

doi:10.4236/ojml.2021.112022

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…In Japan, the copyright of any literary work is strictly protected, and no institution or individual can reproduce or use the work without the author's permission. This is the reason why older corpora are commonly used in corpus construction [17]. As mentioned above, the copyright of the corpus collected by the Aozora Corpus has disappeared, and according to the Japanese copyright law, there is no longer any problem of copyright for these works, and they can be used freely.…”

Section: Related Workmentioning

confidence: 99%

Development and Teaching Application of Japanese Corpus Based on Big Data

Liu

Hua

2022

Wireless Communications and Mobile Computing

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The establishment of English and French corpora has provided great convenience for language application and research. However, in the field of Japanese language research, the construction of Japanese corpus has been slow due to the limitation of Japanese markup format. This paper discusses the scientificity, rationality, feasibility, and construction of “microcorpus” and “specialized corpus” for the application of Japanese corpus in Japanese language teaching. Textual corpus is a corpus that contains all text but no media such as audio and pictures, and it is mostly used in teaching. The Japanese language corpus is a corpus created by analyzing the existing Japanese classroom teaching situation in response to the current reform of Japanese language teaching mode. It is important for teaching Japanese in colleges and universities because it can help students to learn independently and improve their learning initiative and motivation. The teaching-based text corpus is a small corpus for Japanese language teaching and learning, which is derived from the teaching process. The corpus can be created independently on an ordinary PC machine through software, and the collected corpus can be imported into the corpus and used, which provides another way to improve students’ interest and learning ability on their own. Based on the search software, this paper selects representative novels from the Aozora Library and creates a simple corpus to serve the teaching of Japanese interpretation, which improves the teaching effect. At the same time, this paper discusses the boundaries and difficulties of individual self-built corpora with a view to making breakthroughs and progress in future research and development.

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Section: Related Workmentioning

confidence: 99%

Development and Teaching Application of Japanese Corpus Based on Big Data

Liu

Hua

2022

Wireless Communications and Mobile Computing

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Subtitling strategies of swear words in the stand-up comedy Mo Amer: Muhammad in Texas

Sawi

2024

Babel

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Stand-up comedies often employ swear words as a technique to create audience rapport and playful discourse. However, translators face significant challenges in subtitling swear words in these performances for conservative cultures, such as Arabic. This research uses a qualitative and quantitative approach to analyze the Netflix special Mo Amer: Muhammad in Texas to identify swear words, their Arabic subtitles, and the subtitling strategies used and their frequency, utilizing Ljung’s (2011) swear words’ classification and Khoshsaligheh and Ameri’s (2014) subtitling framework. The results revealed that among the 174 identified swear words, “fuck” and “shit” were the most frequently used, at 52% and 16% respectively. Translators employed euphemism, deletion, and taboo to non-taboo strategies, with euphemism emerging as the most predominant at 44%. The strategy of subtitling via taboo to taboo was not used when rendering swear words into Arabic, probably due to cultural considerations for the audience. The findings enhance cross-cultural subtitling practices for stand-up comedy and promote inclusive and engaging experiences for diverse audiences. Further implications are discussed.

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More than words: a multimodal analytical framework for studying the subtitling of swearwords

2023

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Subtitling Swear Words from English into Chinese: A Corpus-Based Study of <i>Big Little Lies</i>

Cited by 5 publications

References 17 publications

Development and Teaching Application of Japanese Corpus Based on Big Data

Development and Teaching Application of Japanese Corpus Based on Big Data

Subtitling strategies of swear words in the stand-up comedy Mo Amer: Muhammad in Texas

More than words: a multimodal analytical framework for studying the subtitling of swearwords

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