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Found 8 papers, 1 papers with code
Translationese in Russian Literary Texts
We expect that literary translations from typologically distant languages should exhibit more translationese, and the fingerprints of individual source languages (and their families) are traceable in translations.
Text Preprocessing and its Implications in a Digital Humanities Project
This paper focuses on data cleaning as part of a preprocessing procedure applied to text data retrieved from the web.
Fiction in Russian Translation: A Translationese Study
The texts are represented with frequency-based features that capture structural and lexical properties of language.
Lexicogrammatic 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 translators.
Translationese 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 reveal the association between translationese and human translation quality.
Towards Functionally Similar Corpus Resources for Translation
We exploit a text-external approach, based on a set of Functional Text Dimensions to model text functions, so that each text can be represented as a vector in a multidimensional space of text functions.
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
Aside from the already known fact that the RNC is generally a better training corpus than web corpora, we enumerate and explain fine differences in how the models process semantic similarity task, what parts of the evaluation set are difficult for particular models and why.
