The role of syntactic variation in translation and post-editing

Bangalore, Srinivas; Behrens, Bergljot; Carl, Michaël; Gankhot, Maheshwar; Heilmann, Arndt; Nitzke, Jean; Schaeffer, Moritz; Sturm, Annegret

doi:10.1075/ts.4.1.06sch

Cited by 10 publications

(11 citation statements)

References 18 publications

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“…Carl and Schaeffer (2017) studied a dataset with several HTs and PEs from different professional translators for the same source text and found out that PEMT, using a statistical MT system, leads to more literal translations, which also have less lexical variation. Closely related to this and in a similar study, Bangalore et al (2015) found PEs to have less syntactic variation than HTs.…”

Section: Characteristics Of Ht and Pesupporting

confidence: 85%

Post-editese: an Exacerbated Translationese

Toral

2019

Preprint

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Post-editing (PE) machine translation (MT) is widely used for dissemination because it leads to higher productivity than human translation from scratch (HT). In addition, PE translations are found to be of equal or better quality than HTs. However, most such studies measure quality solely as the number of errors. We conduct a set of computational analyses in which we compare PE against HT on three different datasets that cover five translation directions with measures that address different translation universals and laws of translation: simplification, normalisation and interference. We find out that PEs are simpler and more normalised and have a higher degree of interference from the source language than HTs.

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Section: Characteristics Of Ht and Pesupporting

confidence: 85%

Post-editese: an Exacerbated Translationese

Toral

2019

Preprint

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“…“Bad” machine translation is still unproductive, on the contrary, “good” machine translation can make post-editors’ work easier and thus increase their productivity. Researchers examining post-editing in MT agree that PE can increase productivity in terms of speed and sometimes in quality of the translation (Bangalore et al, 2015; Nitzke, 2019; O’Brien et al, 2014). Daems et al (2017) carried out a test with eight professional translators and 10 students of translation studies, they found that post-editing of newspaper texts was significantly faster than translation from scratch.…”

Section: Discussionmentioning

confidence: 99%

Product and Process Analysis of Machine Translation into the Inflectional Language

et al. 2021

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This study focuses on the influence of quality of Machine Translation (MT) output on a translator’s performance. We analyze the translator’s effort by product analysis and process analysis. The product analysis consists of MT quality evaluation according to the Dynamic Quality Framework; using error typology and the criteria such as fluency and adequacy. We examine translator’s effort from the point of view of typing time, in the context of MT quality—focusing on error rate in language, accuracy, terminology, and style, and also in fluency and adequacy to the source text. We have found that the translator’s performance is influenced by MT quality. The typing time is very closely related to errors in language, accuracy, terminology, and style as well as to fluency and adequacy. We used the Mann-Whitney test to compare the productivity of post-editing of MT with human translation. The results of the study have shown that post-editing—compared to human translation of journalistic text from English into the inflectional Slovak language is more effective.

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“…This means that none of them were exposed to the priming effects that have been observed in cognitive investigations of the way translators post-edit MT output (cf. Bangalore et al, 2015;Carl & Schaeffer, 2017).…”

Section: Methodsmentioning

confidence: 99%

Introduction: education, the environment and sustainability

Horsthemke

2021

Ethics and Education

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Training, Language and Culture (TLC) is a peer-reviewed journal that aims to promote and disseminate research spanning the spectrum of language and linguistics, education and culture studies with a special focus on professional communication and professional discourse. Editorial Board of Training, Language and Culture invites research-based articles, reviews and editorials covering issues of relevance for the scientific and professional communities. FOCUS AREASTraining, Language and Culture covers the following areas of scholarly interest: theoretical and practical perspectives in language and linguistics; culture studies; interpersonal and intercultural professional communication; language and culture teaching and training, including techniques and technology, testing and assessment. LICENSINGAll articles and book reviews published in Training, Language and Culture are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This means that people can share the material (copy and redistribute in any medium or format), as well as adapt it (remix, transform, and build upon the material for any purpose, even commercially) as long as they give appropriate credit, provide a link to the license, and indicate if changes were made. This can be done in any reasonable manner, but not in any way that suggests the licensor endorsement. The licensor cannot revoke these freedoms as long as the license terms are being followed.

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The role of syntactic variation in translation and post-editing

Cited by 10 publications

References 18 publications

Post-editese: an Exacerbated Translationese

Post-editese: an Exacerbated Translationese

Product and Process Analysis of Machine Translation into the Inflectional Language

Introduction: education, the environment and sustainability

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