The future of general tendencies in translation

Jiménez-Crespo, Miguel A.

doi:10.1075/target.23.1.01jim

Cited by 12 publications

(3 citation statements)

References 37 publications

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“…To a certain extent, this seeming discontinuity is due to the fact that the localized text does show the collocations, colligations, or attested units of meaning that users are primed to expect in specific communicative situations (Hoey 2005). In fact, it has been proven that in the case of localizations into Spanish, professionally-localized corporate sites differ stylistically than those naturally produced in Spanish (Jiménez-Crespo 2011a, 2011b, 2009a, 2009b. As previously mentioned, the current method for adjusting translated texts to users' primed expectations is to promote the use of corpora during translation and evaluation tasks.…”

Section: Corpus Use In Translation Crowdsourcing and The Search Formentioning

confidence: 97%

Crowdsourcing, corpus use, and the search for translation naturalness

Jiménez-Crespo¹

2013

TIS

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This paper argues that corpus use in translation and the Facebook non-professional crowdsourcing model both aim to create more natural-sounding translations. A number of studies on corpus use support this hypothesis, but, to date, there have been no empirical studies on whether crowdsourcing translations produces texts that comply with the conventions users expect, consequently appearing more natural. After a theoretical discussion on how corpus use and Facebook crowdsourcing both intend to achieve more naturally sounding translations, the empirical study contrasts the crowdsourced Peninsular Spanish version of Facebook to original Spanish social networking sites. The methodology is based on a comparable corpus (Baker 1995) and compares all the interactive segments, such as navigation menus and dialog boxes, in this version of Facebook to a similar corpus extracted from the top 25 social networks locally produced in Spain. The contrastive analyses focus on verbal use and terminological conventions. The results confirm that the linguistic features examined in Facebook and produced through a crowdsourced non-professional model match those found in the corpus of non-translated networking sites.

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Section: Corpus Use In Translation Crowdsourcing and The Search Formentioning

confidence: 97%

Crowdsourcing, corpus use, and the search for translation naturalness

Jiménez-Crespo¹

2013

TIS

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“…Nevertheless, without any doubt, the "tendency" to explicitate has been mostly confirmed in most textual subsets or translation contexts in CBTS research, including different language combinations, textual genres, different levels of language, and in a number of translation modalities, such as subtitling (Perego 2003) or localization (Jiménez-Crespo 2011. It has also been confirmed on different translational phenomena, such as translated texts vs. edited-revised translations (Kruger 2012;Bisiada 2017) or even consecutive (Tang 2018) or simultaneous interpreting (Ewa 2006).…”

Section: Explicitation and Implicitation In Translation Studiesmentioning

confidence: 99%

Explicitation and implicitation in translation Combining comparable and parallel corpus methodologies

Jiménez-Crespo

sÁnChez

2021

MonTI

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This paper studies explicitation and implicitation in translated medical texts using a combination of comparable and parallel corpus methodologies. Previous corpus research in this domain has shown common lexical and syntactic shifts between translated and non-translated texts (Askehave & Zethsen 2000; Jensen & Zethsen 2012), including differences in explicitation rates surrounding Latin-Greek (LG) terms (Jiménez-Crespo & Tercedor 2017). A parallel corpus section was compiled in order to identify whether the observed higher explicitation ratios in English to Spanish translations when compared to similar non-translated texts in this last study are due to (1) cross-linguistic interference or replication of source text structures, or (2) to the translational tendency to explicitate. The results point to a possible combination of both, with 21% of cases of explicitation and no implicitation. Higher explicitation ratios mainly support the interference or cross-linguistic influence hypothesis (Kruger 2018). This study also offers support for the risk aversion hypothesis (Pym 2005(Pym , 2015Kruger 2018;De Sutter & Kruger 2018), as translations only show a tendency to include clearer and more explicit formulations.

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“…An element of uncertainty has crept into the ranks of translation scholars, as is refl ected in the terminology used in various works. Since fi rst being described as "universals" by Baker (1993), the features under discussion are now often referred to as "general or law-like tendencies or high probabilities of occurrence" (Mauranen 2008: 35), "less-thanuniversal generalisations" (Chesterman 2010: 44) or "accepted tendencies" in translation (Jiménez-Crespo 2011). A decisive attempt to move away from the concept of "universals" in the fi eld of translatology is evident in Toury's thesis (1991) concerning "the laws of translation".…”

Section: What Stage Has Research On Translation Universals Now Reached?mentioning

confidence: 99%

Linguistica Silesiana

Data-Bukowska

2019

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This article fi rst surveys the current, somewhat unproductive state of research into potential universals of translation. Then it considers in specifi c the "fi rst translational response universal" (Malmkjaer 2011), suggesting that it may be rooted in the cognitive mechanism of priming. Empirical evidence for this is next sought in the analysis of a set of 34 novice translations of the same short passage from Swedish into Polish, which are shown to exhibit the effects of priming to a considerable extent. Overall, the objective is to illustrate a possible way of investigating postulated translation universals: fi rst identifying a cluster of cognitive mechanisms to motivate the universal, then determining the linguistic structures that are concrete manifestations of such mechanisms in languages meeting in translation. The proposed research procedure thus proceeds from a cognitive process to a detailed language structure, allowing for the examination of phenomena observed in the "third code" on the supra-cultural level.

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The future of general tendencies in translation

Cited by 12 publications

References 37 publications

Crowdsourcing, corpus use, and the search for translation naturalness

Crowdsourcing, corpus use, and the search for translation naturalness

Explicitation and implicitation in translation Combining comparable and parallel corpus methodologies

Linguistica Silesiana

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