Manipulating Titles in Translation

Darwish, Ibrahim; Sayaheen, Bilal

doi:10.2478/jesr-2019-0042

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…This schema helps reduce the audience's decision-making time and increase interest in a certain movie (Zhou, 2017). However, if the original title does not contain genre information, the translator may consider using the "addition" strategy when translating it into TT (James et al, 2018;Darwish & Sayaheen, 2019). When adding genre information to the title, keywords representing certain genres will be added to show more information about the movie, not just give the movie a title (Jutronić & Karabatić, 2016).…”

Section: Relationship Between Informative Text Function and Genrementioning

confidence: 99%

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Genre and Translation Style in Chinese Translation of Hollywood Blockbuster Movie Titles in Mainland China and Hong Kong

Xin Yi,

Amini,

Alipour

2023

JML

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The title of a movie is the first to attract the audience's attention. Poorly translated movie titles may result in a “low box office”, as translators in different countries have their styles and preferences in translating film titles, which might eventually result in different translations of the same movie title and cause confusion to the audience. This qualitative research used exploratory induction to investigate the influence of genre and translation style on the Chinese translation of Hollywood blockbuster movie titles in Mainland China and Hong Kong. Titles of 300 Chinese movies produced between 2001 and 2020 were purposefully selected from the top 50 Hollywood movies in the adventure, horror, and action genres. Genre was found to be slightly effective in the choice of translation style and strategies. Among the three genres, horror was found to have the greatest influence on the choice of translation strategy. It was concluded that translators from Mainland China were more conservative in title translation compared to translators from Hong Kong, whose attempt was to create innovative translations. The findings may have some theoretical and practical implications for film translators, book translators, advertising translators, translation trainers, and trainees.

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Section: Relationship Between Informative Text Function and Genrementioning

confidence: 99%

“…The requirements for a good movie title are like those of book titles and advertising slogans (Darwish & Sayaheen, 2019).…”

Section: Introductionmentioning

confidence: 99%

Genre and Translation Style in Chinese Translation of Hollywood Blockbuster Movie Titles in Mainland China and Hong Kong

Xin Yi,

Amini,

Alipour

2023

JML

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“…Adaptations of book titles to suit the target culture and to adequately present the product are topics frequently treated in translation studies (for discussion see Jovanovich, 1990; Viezzi as quoted in Darwish & Sayaheen, 2019). Though there are many possible approaches, it may be broadly posited that a) the title should appeal to Deaf child readers, b) should be representative of the story of the book, c) should as far as possible coincide with the original title.…”

Section: Interpreting Story Titlesmentioning

confidence: 99%

A video-book translation project for deaf children

Okyayuz

2021

JLLS

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In the 21st century, providing accessibility for all to all products and platforms including cultural and literary products is one of the most important fields of study embraced in translation and interpreting studies, media accessibility studies and others. With governments and international organs like the UN and EU working towards full accessibility, it falls to multidisciplinary teams to produce accessible versions of such products and furthermore to provide road maps, guidelines and examples of good practice. The following article outlines a project undertaken with these priorities and concerns. In response to requests from parents with D/deaf children and the wishes of the author N. Neydim, work began on the translation and the intermedial adaptation of the Turkish children's books series Selim'in Maceraları (2011) in May of 2019. The project was completed and the video-books are currently available online. The initial aims of the project were, to raise awareness about children's literature in Turkish among preschool and early primary school age Deaf children and to provide these children with the Turkish sign language video-book versions of the author's works. The following article details the design and implementation of the project, the project cycle, profiles of the interpreting team, technical and design concerns, and options and decisions about the interpreting process to provide an example for similar endeavours and a platform for sharing insight on the issues inherent to the project.

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“…Short texts (STs) refer to examples that contain fewer tokens within sequences. 1 Translating STs from one language to another plays a crucial part in natural language processing (NLP) scenarios, including the modeling of query (Huang et al 2016;Song, Kim, and Park 2017;Saleh and Pecina 2020;Bi et al 2020;Yao et al 2020aYao et al , 2020b, dialogue (Wang et al 2017;Liu et al 2018), title (Kreutzer et al 2018;Karakanta, Dehdari, and van Genabith 2018;Darwish and Sayaheen 2019;Etchegoyhen and Gete 2020;Banar, Daelemans, and Kestemont 2020), entity name (Jiang et al 2007;Zhao et al 2020), and text matching (Chen et al 2020;Lyu et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Challenges of Neural Machine Translation for Short Texts

Wan

Yang

Wong

et al. 2022

Computational Linguistics

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Short texts (STs) present in a variety of scenarios, including query, dialog, and entity names. Most of the exciting studies in neural machine translation (NMT) are wild about tackling open problems concerning long sentences rather than short ones. The intuition behind is that, with respect to human learning and processing, short sequences are generally regarded as easy examples. In this paper, we first dispel this speculation via conducting preliminary experiments, showing that the conventional state-of-the-art NMT approach, i.e. Transformer (Vaswani et al. 2017), still severely suffers from over-translation and mistranslation errors over STs. After empirically investigating the rationale behind, we summarized two challenges in NMT for STs associated with translation error types above, respectively: 1) the imbalanced length distribution in training set intensifies model inference calibration over STs, leading to more over-translation cases on STs; 2) the lack of contextual information makes NMT have higher data uncertainty on short sentences, and NMT model is troubled by considerable mistranslation errors. Some existing approaches, like balancing data distribution for training (e.g. data upsampling) and complementing contextual information (e.g. introducing translation memory) can pertinently alleviate the translation issues in NMT for STs. We are delighted to embrace researchers investigate other challenges in NMT for STs, thus reducing ST translation errors and enhancing translation quality.

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Manipulating Titles in Translation

Cited by 7 publications

References 9 publications

Genre and Translation Style in Chinese Translation of Hollywood Blockbuster Movie Titles in Mainland China and Hong Kong

Genre and Translation Style in Chinese Translation of Hollywood Blockbuster Movie Titles in Mainland China and Hong Kong

A video-book translation project for deaf children

Challenges of Neural Machine Translation for Short Texts

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