Domestication, foreignization, and lexical density: English translations of "Metai" (Seasons of the Year) by Kristijonas Donelaitis

Direct Link:
Collection:
Mokslo publikacijos / Scientific publications
Document Type:
Straipsnis / Article
Language:
Anglų kalba / English
Title:
Domestication, foreignization, and lexical density: English translations of "Metai" (Seasons of the Year) by Kristijonas Donelaitis
Alternative Title:
Savinimas, svetiminimas ir teksto leksinis tankis: Kristijono Donelaičio "Metų" vertimai į anglų kalbą
In the Journal:
Knygotyra. 2015, t. 64, p. 260-272
Summary / Abstract:

LTStraipsnyje lyginami du K. Donelaičio „Metų“ vertimai į anglų kalbą, atlikti Nado Rastenio (1967) ir Peterio Tempesto (1985), analizei pritaikant Lawrenco Venuti (1995) pasiūlytas savinimo ir svetiminimo vertimo strategijas. Tai viso „Metų“ teksto vertimai, kuriuos skiria beveik 20 metų. Jie atspindi tuo laikotarpiu vyravusias vertimo procedūrų taikymo tendencijas. Taip pat pateikiamas ir aptariamas įvairių autorių požiūris į kultūrinių realijų vertimą. Strategijų lygmeniu empirinis tyrimas atliktas įvertinant vertimus pagal atskirus savinimo ir svetiminimo strategijų aspektus ir pačių vertėjų aiškinamuosius tekstus (vertėjo pastabas). Leksinio lygmens pokyčiams nustatyti buvo pritaikyti tekstynų lingvistikos metodai ir „AntConc“ programa. Jie leido nustatyti du teksto parametrus originale ir vertimuose, t. y. leksinį tankumą ir leksinę įvairovę. Nors tiriamieji tekstai nedideli, tačiau tyrimui panaudota kompiuterinė programa atskleidė, kad leksinis tankumas vertimuose yra beveik 8 procentais mažesnis nei originale. Tai galima vertinti kaip nemažą lietuviško kultūrinio konteksto praradimą vertimuose. [Iš leidinio]

ENThe rural epic “Metai” (Seasons of the Year) by Kristijonas Donelaitis, a milestone of Lithuanian literature, has enjoyed the status of similar literary writings viewed as a ‘must’ for being translated into different languages. Up to now, translations of “Metai” have appeared in 13 different languages (Armenian, Byelorussian, Czech, English, Georgian, German, Hungarian, Latvian, Polish, Russian, Spanish, Swedish, and Ukrainian). As regards translations into English, the poem was not translated in full until 1967; the translation was carried out by Nadas Rastenis and published in Los Angeles. The other complete translation of “Metai” is almost 20 years apart, performed by Peter Tempest and published in 1985. The present analysis aims to find out which of the opposing strategies – foreignization or domestication – is more consistently employed in the two English translations (on the macrolevel). The specific research questions on the micro-level concern two text properties, lexical density and lexical diversity, in the source-text and the two translations. These parameters were evaluated using corpus linguistics methodology and tools. The overall evaluation of the domesticating and foreignizing strategies employed in the two translations demonstrates that each of them is applied to a certain degree. The domestication is fair, revealing respect for the original, the author and the reader, whereas foreignizing strategies are mainly seen on the discoursal, generic level. The translators tried to balance the two approaches for the target reader to be able to appreciate both, the specificity of the cultural content and the fluent domesticated narrative. As for the lexico-semantic level, the highest lexical density was found in the analyzed Lithuanian data (excerpts from the poem), reaching over 62%, while the two translations show statistically important lower density, roughly about 54% each.This means that about 8% of content words were lost in the translations. With respect to lexical diversity, N. Rastenis with a 789-word text seems to be more loquacious than P. Tempest (the total number of words – 654). [From the publication]

DOI:
10.15388/Knygotyra.2015.64.8225
ISSN:
0204-2061; 2345-0053
Related Publications:
Permalink:
https://www.lituanistika.lt/content/61118
Updated:
2018-12-17 14:02:25
Metrics:
Views: 47    Downloads: 5
Export: