@inproceedings{federico-etal-2012-measuring,
title = "Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation",
author = "Federico, Marcello and
Cattelan, Alessandro and
Trombetti, Marco",
booktitle = "Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers",
month = oct # " 28-" # nov # " 1",
year = "2012",
address = "San Diego, California, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2012.amta-papers.22/",
abstract = "This paper addresses the problem of reliably measuring productivity gains by professional translators working with a machine translation enhanced computer assisted translation tool. In particular, we report on a field test we carried out with a commercial CAT tool in which translation memory matches were supplemented with suggestions from a commercial machine translation engine. The field test was conducted with 12 professional translators working on real translation projects. Productivity of translators were measured with two indicators, post-editing speed and post-editing effort, on two translation directions, English{--}Italian and English{--}German, and two linguistic domains, legal and information technology. Besides a detailed statistical analysis of the experimental results, we also discuss issues encountered in running the test."
}
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%0 Conference Proceedings
%T Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation
%A Federico, Marcello
%A Cattelan, Alessandro
%A Trombetti, Marco
%S Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2012
%8 oct 28 nov 1
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F federico-etal-2012-measuring
%X This paper addresses the problem of reliably measuring productivity gains by professional translators working with a machine translation enhanced computer assisted translation tool. In particular, we report on a field test we carried out with a commercial CAT tool in which translation memory matches were supplemented with suggestions from a commercial machine translation engine. The field test was conducted with 12 professional translators working on real translation projects. Productivity of translators were measured with two indicators, post-editing speed and post-editing effort, on two translation directions, English–Italian and English–German, and two linguistic domains, legal and information technology. Besides a detailed statistical analysis of the experimental results, we also discuss issues encountered in running the test.
%U https://aclanthology.org/2012.amta-papers.22/
Markdown (Informal)
[Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation](https://aclanthology.org/2012.amta-papers.22/) (Federico et al., AMTA 2012)
ACL