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Cross-Linguistic Variation in System and Text: A Methodology for the Investigation of Translations and Comparable Texts
Abstract
The intuition that translations are somehow different from texts that are not translations has been around for many years, but most of the common linguistic frameworks are not comprehensive enough to account for the wealth and complexity of linguistic phenomena that make a translation a special kind of text. The present book provides a novel methodology for investigating the specific linguistic properties of translations. As this methodology is both corpus-based and driven by a functional theory of language, it is powerful enough to account for the multi-dimensional nature of cross-linguistic variation in translations and cross-lingually comparable texts.
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Citations
Cited by
How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech
Bizzoni, Y., Juzek, T. S., España-Bonet, C., Dutta Chowdhury, K., van Genabith, J., & Teich, E. (2020) · Proceedings of the 17th International Conference on Spoken Language Translation · doi:10.18653/v1/2020.iwslt-1.34 · Cited by 34
“These patterns are together called “trans-lationese” (Teich, 2003; Volansky et al., 2015).”
BackgroundSelf-citationFu, Y., & Nederhof, M.-J. (2021) · arXiv · doi:10.48550/arxiv.2105.04616 · Cited by 1
“Mean-while, computational approaches (Teich, 2003; Volansky et al., 2015) contribute evidence for some translation universals.”
Background
Metadata
- Authors
- Teich, E.
- Venue
- De Gruyter eBooks
- Publisher
- DE GRUYTER
- Published
- 2003-12-31
- OpenAlex
- W141389376
- Cited by
- 352
- References
- 0
- FWCI
- 4.85
- Type
- book
- Language
- en
- Open access
- closed
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- The paper
- Teich, E. (2003). Cross-Linguistic Variation in System and Text: A Methodology for the Investigation of Translations and Comparable Texts. De Gruyter eBooks. https://doi.org/10.1515/9783110896541
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