Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation studies is a research field that focuses on investigating these characteristics. Until recently, research in computational linguistics, and specifically in machine translation, has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness of these findings can result in better, more accurate machine translation systems (This chapter synthesizes material that has been previously published by the author and colleagues, in particular in Volansky et al. (2015); Rabinovich and Wintner (2015); Lembersky et al. (2011, 2012a, 2012b, 2013); and Twitto et al. (2015)).
|Title of host publication||Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures|
|Editors||Esteban Zimanyi, Patrick Marcel|
|Number of pages||21|
|State||Published - 2017|
|Event||6th European Business Intelligence and Big Data Summer School, eBISS 2016 - Tours, France|
Duration: 3 Jul 2016 → 8 Jul 2016
|Name||Lecture Notes in Business Information Processing|
|Conference||6th European Business Intelligence and Big Data Summer School, eBISS 2016|
|Period||3/07/16 → 8/07/16|
Bibliographical noteFunding Information:
I am grateful to Noam Ordan for his immense help with the research reported here. Thanks are due to all my other collaborators on these works, including Gennadi Lembersky, Vered Volansky, Udi Avner, Naama Twitto and Ella Rabinovich. Special thanks are due to Agata Savary, not least for her continuous encouragement. I am grateful to the three anonymous reviewers whose constructive comments greatly improved the quality of the presentation. This research was supported by a grant from the Israeli Ministry of Science and Technology.
© Springer International Publishing AG 2017.
ASJC Scopus subject areas
- Information Systems and Management
- Information Systems
- Control and Systems Engineering
- Business and International Management
- Management Information Systems
- Modeling and Simulation