@inproceedings{koponen-etal-2012-post,
title = "Post-editing time as a measure of cognitive effort",
author = "Koponen, Maarit and
Aziz, Wilker and
Ramos, Luciana and
Specia, Lucia",
editor = "O'Brien, Sharon and
Simard, Michel and
Specia, Lucia",
booktitle = "Workshop on Post-Editing Technology and Practice",
month = oct # " 28",
year = "2012",
address = "San Diego, California, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2012.amta-wptp.2",
abstract = "Post-editing machine translations has been attracting increasing attention both as a common practice within the translation industry and as a way to evaluate Machine Translation (MT) quality via edit distance metrics between the MT and its post-edited version. Commonly used metrics such as HTER are limited in that they cannot fully capture the effort required for post-editing. Particularly, the cognitive effort required may vary for different types of errors and may also depend on the context. We suggest post-editing time as a way to assess some of the cognitive effort involved in post-editing. This paper presents two experiments investigating the connection between post-editing time and cognitive effort. First, we examine whether sentences with long and short post-editing times involve edits of different levels of difficulty. Second, we study the variability in post-editing time and other statistics among editors.",
}
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<abstract>Post-editing machine translations has been attracting increasing attention both as a common practice within the translation industry and as a way to evaluate Machine Translation (MT) quality via edit distance metrics between the MT and its post-edited version. Commonly used metrics such as HTER are limited in that they cannot fully capture the effort required for post-editing. Particularly, the cognitive effort required may vary for different types of errors and may also depend on the context. We suggest post-editing time as a way to assess some of the cognitive effort involved in post-editing. This paper presents two experiments investigating the connection between post-editing time and cognitive effort. First, we examine whether sentences with long and short post-editing times involve edits of different levels of difficulty. Second, we study the variability in post-editing time and other statistics among editors.</abstract>
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%0 Conference Proceedings
%T Post-editing time as a measure of cognitive effort
%A Koponen, Maarit
%A Aziz, Wilker
%A Ramos, Luciana
%A Specia, Lucia
%Y O’Brien, Sharon
%Y Simard, Michel
%Y Specia, Lucia
%S Workshop on Post-Editing Technology and Practice
%D 2012
%8 oct 28
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F koponen-etal-2012-post
%X Post-editing machine translations has been attracting increasing attention both as a common practice within the translation industry and as a way to evaluate Machine Translation (MT) quality via edit distance metrics between the MT and its post-edited version. Commonly used metrics such as HTER are limited in that they cannot fully capture the effort required for post-editing. Particularly, the cognitive effort required may vary for different types of errors and may also depend on the context. We suggest post-editing time as a way to assess some of the cognitive effort involved in post-editing. This paper presents two experiments investigating the connection between post-editing time and cognitive effort. First, we examine whether sentences with long and short post-editing times involve edits of different levels of difficulty. Second, we study the variability in post-editing time and other statistics among editors.
%U https://aclanthology.org/2012.amta-wptp.2
Markdown (Informal)
[Post-editing time as a measure of cognitive effort](https://aclanthology.org/2012.amta-wptp.2) (Koponen et al., AMTA 2012)
ACL
- Maarit Koponen, Wilker Aziz, Luciana Ramos, and Lucia Specia. 2012. Post-editing time as a measure of cognitive effort. In Workshop on Post-Editing Technology and Practice, San Diego, California, USA. Association for Machine Translation in the Americas.