Machine translation systems and quality assessment: a systematic review
I Rivera-Trigueros - Language Resources and Evaluation, 2022 - Springer
Nowadays, in the globalised context in which we find ourselves, language barriers can still
be an obstacle to accessing information. On occasions, it is impossible to satisfy the demand …
be an obstacle to accessing information. On occasions, it is impossible to satisfy the demand …
Quality expectations of machine translation
A Way - Translation quality assessment: From principles to …, 2018 - Springer
Abstract Machine Translation (MT) is being deployed for a range of use-cases by millions of
people on a daily basis. There should, therefore, be no doubt as to the utility of MT …
people on a daily basis. There should, therefore, be no doubt as to the utility of MT …
[PDF][PDF] Quality and machine translation: A realistic objective
R Fiederer, S O'Brien - The journal of Specialised translation, 2009 - aclanthology.org
ABSTRACT Is Machine Translation (MT) output necessarily of lower quality than human
translation? Taking a user guide in English as the source text, German as the target …
translation? Taking a user guide in English as the source text, German as the target …
A survey of machine translation competences: Insights for translation technology educators and practitioners
F Gaspari, H Almaghout, S Doherty - Perspectives, 2015 - Taylor & Francis
This paper describes a large-scale survey of machine translation (MT) competencies
conducted by a non-commercial and publicly funded European research project. Firstly, we …
conducted by a non-commercial and publicly funded European research project. Firstly, we …
[PDF][PDF] Estimating the sentence-level quality of machine translation systems
We investigate the problem of predicting the quality of sentences produced by machine
translation systems when reference translations are not available. The problem is addressed …
translation systems when reference translations are not available. The problem is addressed …
Error classification and analysis for machine translation quality assessment
M Popović - Translation quality assessment: From principles to …, 2018 - Springer
This chapter presents an overview of different approaches and tasks related to classification
and analysis of errors in machine translation (MT) output. Manual error classification is a …
and analysis of errors in machine translation (MT) output. Manual error classification is a …
Translation quality assessment
J Moorkens, S Castilho, F Gaspari… - … and applications ser …, 2018 - Springer
The continuing growth in digital content means that there is now significantly more linguistic
content to translate using more diverse workflows and tools than ever before. This growth …
content to translate using more diverse workflows and tools than ever before. This growth …
Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet
This paper presents the results of the General Machine Translation Task organised as part
of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants …
of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants …
How to evaluate machine translation: A review of automated and human metrics
E Chatzikoumi - Natural Language Engineering, 2020 - cambridge.org
This article presents the most up-to-date, influential automated, semiautomated and human
metrics used to evaluate the quality of machine translation (MT) output and provides the …
metrics used to evaluate the quality of machine translation (MT) output and provides the …
Findings of the 2022 conference on machine translation (WMT22)
This paper presents the results of the General Machine Translation Task organised as part
of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants …
of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants …