Fiction in Russian Translation: A Translationese Study
This paper presents a translationese study based on the parallel data from the Russian National Corpus (RNC). We explored differences between literary texts originally authored in Russian and fiction translated into Russian from 11 languages. The texts are represented with frequency-based features that capture structural and lexical properties of language. Binary classification results indicate that literary translations can be distinguished from non-translations with an accuracy ranging from 82 to 92% depending on the source language and feature set. Multiclass classification confirms that translations from distant languages are more distinct from non-translations than translations from languages that are typologically close to Russian. It also demonstrates that translations from same-family source languages share translationese properties. Structural features return more consistent results than features relying on external resources and capturing lexical properties of texts in both translationese detection and source language identification tasks.
Code (0)
등록된 구현이 없습니다.
Tasks
Binary ClassificationLanguage IdentificationTranslationSimilar Papers 제목 키워드 기반
Translationese in Russian Literary Texts
The paper reports the results of a translationese study of literary texts based on translated and non-translated Russian. We aim to find out if translations deviate from non-translated literary texts, and if the establis…
SpecificityTranslationese Features as Indicators of Quality in English-Russian Human Translation
We use a range of morpho-syntactic features inspired by research in register studies (e.g. Biber, 1995; Neumann, 2013) and translation studies (e.g. Ilisei et al., 2010; Zanettin, 2013; Kunilovskaya and Kutuzov, 2018) to…
TranslationLexicogrammatic translationese across two targets and competence levels
This research employs genre-comparable data from a number of parallel and comparable corpora to explore the specificity of translations from English into German and Russian produced by students and professional translato…
SpecificityTranslationVocal Bursts Valence PredictionHow Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech
Translationese is a phenomenon present in human translations, simultaneous interpreting, and even machine translations. Some translationese features tend to appear in simultaneous interpreting with higher frequency than …
Machine TranslationTranslationThe Effect of Translationese in Machine Translation Test Sets
The effect of translationese has been studied in the field of machine translation (MT), mostly with respect to training data. We study in depth the effect of translationese on test data, using the test sets from the last…
Machine TranslationTranslation