Rendering Emotional Coloring in Literary Translation

Petrova, Olga; Родионова, М С

doi:10.1016/j.sbspro.2016.09.091

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…On the other hand, aesthetic considerations often call for making texts more readable or pleasant. These factors hamper methods that transfer affect or sentiment across languages, as they cause both translation errors (for human and machines alike) and stylistic choices which subvert the sentiment of words (Petrova and Rodionova, 2016). Thus, assessing the quality of sentimentannotated resources produced by translation (Banea et al, 2008;Chen and Skiena, 2014;Buechel et al, 2020, i.a.…”

Section: Related Workmentioning

confidence: 99%

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation

Troiano

Klinger

Padó

2020

Proceedings of the 28th International Conference on Computational Linguistics

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Machine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world. An important part of communication, however, takes place at the non-propositional level (e.g., politeness, formality, emotions), and it is far from clear whether current MT methods properly translate this information.This paper investigates the specific hypothesis that the non-propositional level of emotions is at least partially lost in MT. We carry out a number of experiments in a back-translation setup and establish that (1) emotions are indeed partially lost during translation; (2) this tendency can be reversed almost completely with a simple re-ranking approach informed by an emotion classifier, taking advantage of diversity in the n-best list; (3) the re-ranking approach can also be applied to change emotions, obtaining a model for emotion style transfer. An in-depth qualitative analysis reveals that there are recurring linguistic changes through which emotions are toned down or amplified, such as change of modality.

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Section: Related Workmentioning

confidence: 99%

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation

Troiano

Klinger

Padó

2020

Proceedings of the 28th International Conference on Computational Linguistics

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“…In many books and articles, the terms domestication and foreignization are often considered as ideologies, strategies, or methods of translation. When the translators believe that their translation is acceptable and correct, it means that domestication and foreignization are considered ideologies (Burmakova & Marugina, 2014;Mansourabadi & Karimnia, 2013;Petrova & Rodionova, 2016).…”

Section: Introductionmentioning

confidence: 99%

Foreignization and Domestication Ideology in Cultural Term Translation of Novel Tuesday With Morrie: Category Household Goods and House Surroundings

Harared

2018

Arbitrer

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The research basically aims at identifying translation ideology in cultural term translation of novel Tuesday with Morrie: material culture written by (Albom, 1997), translated by (Widodo, 2009) into an Indonesian language text. Translation ideology classified into its ideology such as foreignization and domestication by (Venuti, 2004) and its techniques of translation theory composed by (Molina & Hurtado Albir, 2002). The research approach is a translation approach by using Newmark’s perspective. The findings show that there are 9 material cultures especially house goods and household surroundings on Tuesday with Morrie translated into an Indonesian language text. There are six techniques in the data, namely: adaptation, amplification, establish equivalent- amplification-adaptation, pure borrowings, establish equivalent, and equivalent description. The ideology of the translation in cultural term category material culture using in this novel is domestication and foreignization. Translation to TL (Bahasa) in this novel gives a shift in the cultural environment of cultural elements category material culture in Indonesia.

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Rendering Emotional Coloring in Literary Translation

Cited by 2 publications

References 2 publications

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation

Foreignization and Domestication Ideology in Cultural Term Translation of Novel Tuesday With Morrie: Category Household Goods and House Surroundings

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