Results 221 to 230 of about 127,438 (249)

An empirical investigation of temporal and technical post-editing effort

Translation and Interpreting Studies, 2007
This article reports on a study designed to quantify temporal and technical post-editing effort in machine translated texts. The study involved two groups of English>German translators, one instructed to post-edit a machine-translated text and the other to translate the same text from English into German.
Sharon O’Brien
exaly   +2 more sources

Predicting Post-Editing Effort for English-Chinese Neural Machine Translation

2021 International Conference on Asian Language Processing (IALP), 2021
Na Ye
exaly   +2 more sources

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation

Annals of Mathematics and Artificial Intelligence, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ibai Roman, Roberto Santana, Alexander Mendiburu, Jose A. Lozano   +3 more
openaire   +2 more sources

Analysing the Impact of Interactive Machine Translation on Post-editing Effort

New Frontiers in Translation Studies, 2016
no ...
Fabio Alves, Alves Fabio
exaly   +3 more sources

Cognitive effort in human translation and machine translation post-editing processes

FORUM. Revue internationale d’interprétation et de traduction / International Journal of Interpretation and Translation, 2023
Abstract Due to the inaccuracies of Machine Translation (MT), Post-Editing (PE) is inevitable. This poses questions over whether human effort to polish an MT is worthwhile or whether it would be more efficient to translate manually. However, to date, fewer attempts have been made to compare the cognitive effort in the PE process and the sub-phases ...
Yu Wang, Ali Jalalian Daghigh
openaire   +1 more source

Cognitive Demand and Cognitive Effort in Post-Editing

2018
The pause to word ratio, the number of pauses per word in a post-edited MT segment, is an indicator of cognitive effort in post-editing (Lacruz and Shreve, 2014). We investigate how low the pause threshold can reasonably be taken, and we propose that 300 ms is a good choice, as pioneered by Schilperoord (1996).
Isabel Lacruz, Michael J. Denkowski, Alon Lavie   +2 more
openaire   +2 more sources

Effort in Machine Translation Post-Editing: The Role of Expertise

Cankaya University Journal of Humanities and Social Sciences
Machine translation post-editing is becoming an increasingly important part of the translation process, boosting efficiency. As the primary aim of technology is to reduce human effort, the concept of effort has been widely investigated in this context.
Minel Sayar Öztürk, Alper Kumcu
openaire   +1 more source

Methodologies for Measuring the Correlations between Post-Editing Effort and Machine Translatability

Machine Translation, 2005
Against the background of a wider research project that aims to investigate the correlation, if any, between post-editing effort and the presence of negative translatability indicators in source texts submitted to Machine Translation (MT), this paper sets out to assess the potential of two methods for measuring the effort involved in post-editing MT ...
openaire   +1 more source

Morphological complexity as a predictor of cognitive effort in neural machine translation post-editing

Translation, Cognition & Behavior
Abstract This study examines how morphological complexity affects cognitive effort in neural machine translation (NMT) post-editing across six languages. Analysis of the DivEMT dataset shows that morphologically richer target languages like Ukrainian and Turkish require more editing time, keystrokes, and frequent pauses, indicating higher
Hussein Abu-Rayyash, Shatha Alhawamdeh
openaire   +1 more source

Word-Based Human Edit Rate (WHER) as an Indicator of Post-editing Effort

Machine Translation, 2021
Michael Carl, Carl Michael
exaly