Аударма тілі

This paper presents a set of preliminary experiments which show that identifying translationese is possible with machine learning methods that work at character level, more precisely methods that use string …...

Translated texts (in any language) are so markedly different from original ones that text classification techniques can be used to tease them apart. Previous work has shown that awareness to …...

Studies on the second language (L2) writing from the angle of translation universals (TU) have substantial empirical research prospects, but as yet only limited literature explains what linguistic factors shape …...

AbstractGiven a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation. In this work we explore this intuition by …...

AbstractHow language-agnostic are current state-of-the-art NLP tools? Are there some types of language that are easier to model with current methods? In prior work (Cotterell et al., 2018) we attempted …...

AbstractThis paper presents neural machine translation systems and their combination built for the WMT20 English-Polish and Japanese->English translation tasks. We show that using a Transformer Big architecture, additional training data …...

AbstractTranslationese 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 in human text …...

AbstractThis 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 …...

AbstractThe term translationese has been used to describe features of translated text, and in this paper, we provide detailed analysis of potential adverse effects of translationese on machine translation evaluation. …...

AbstractMachine translation has an undesirable propensity to produce “translationese” artifacts, which can lead to higher BLEU scores while being liked less by human raters. Motivated by this, we model translationese …...

AbstractThis 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 …...

AbstractDuring recent years, MT research has imported a number of conceptual tools from Translation Studies such as “translationese” or “translation universals”. These notions were the object of intense conceptual debates …...