Asymmetric Features Of Human Generated Translation

By Sauleh Eetemadi, Kristina Toutanova. 2014

19 citations recorded by the source corpus.

Distinct properties of translated text have been the subject of research in linguistics for many year (Baker, 1993). In recent years computational methods have been developed to empirically verify the linguistic theories about translated text (Baroni and Bernardini, 2006). While many characteristics of translated text are more apparent in comparison to the original text, most of the prior research has focused on monolingual features of translated and original text. The contribution of this work is introducing bilingual features that are capable of explaining differences in translation direction using localized linguistic phenomena at the phrase or sentence level, rather than using monolingual statistics at the document level. We show that these bilingual features outperform the monolingual features used in prior work (Kurokawa et al., 2009) for the task of classifying translation direction.

Subfields: Artificial Intelligence, Language and Linguistics, Natural Language Processing

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Citations in the corpus

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages (2020, background): “The result is that a corpus of so-called Translationese may be markedly different from purely native text (Lembersky et al., 2012; Volansky et al., 2013; Avner et al., 2014; Eetemadi and Toutanova, 2014; Rabinovich and Wintner, 2015; Wintner, 2016).”
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation (2016, background): “(I) The phrase number one only is accepted and phrases two, three, four were not accepted .”