Neural machine translation: A review
F Stahlberg - Journal of Artificial Intelligence Research, 2020 - jair.org
The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …
natural language into another, has experienced a major paradigm shift in recent years …
Experts, errors, and context: A large-scale study of human evaluation for machine translation
Human evaluation of modern high-quality machine translation systems is a difficult problem,
and there is increasing evidence that inadequate evaluation procedures can lead to …
and there is increasing evidence that inadequate evaluation procedures can lead to …
Has machine translation achieved human parity? a case for document-level evaluation
Recent research suggests that neural machine translation achieves parity with professional
human translation on the WMT Chinese--English news translation task. We empirically test …
human translation on the WMT Chinese--English news translation task. We empirically test …
Attaining the unattainable? reassessing claims of human parity in neural machine translation
We reassess a recent study (Hassan et al., 2018) that claimed that machine translation (MT)
has reached human parity for the translation of news from Chinese into English, using …
has reached human parity for the translation of news from Chinese into English, using …
What has changed with neural machine translation? A critical review of human factors
V Ragni, L Nunes Vieira - Perspectives, 2022 - Taylor & Francis
In recent years, the push towards automation and translation productivity led to great efforts
dedicated to the development of machine translation (MT) systems. Neural machine …
dedicated to the development of machine translation (MT) systems. Neural machine …
[HTML][HTML] Large scale analytics of global and regional MOOC providers: Differences in learners' demographics, preferences, and perceptions
JA Ruipérez-Valiente, T Staubitz, M Jenner… - Computers & …, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) remarkably attracted global media
attention, but the spotlight has been concentrated on a handful of English-language …
attention, but the spotlight has been concentrated on a handful of English-language …
Translators' perceptions of literary post-editing using statistical and neural machine translation
In the context of recent improvements in the quality of machine translation (MT) output and
new use cases being found for that output, this article reports on an experiment using …
new use cases being found for that output, this article reports on an experiment using …
Designing a uniform meaning representation for natural language processing
In this paper we present Uniform Meaning Representation (UMR), a meaning representation
designed to annotate the semantic content of a text. UMR is primarily based on Abstract …
designed to annotate the semantic content of a text. UMR is primarily based on Abstract …
What to expect from Neural Machine Translation: a practical in-class translation evaluation exercise
J Moorkens - The Interpreter and Translator Trainer, 2018 - Taylor & Francis
Machine translation is currently undergoing a paradigm shift from statistical to neural
network models. Neural machine translation (NMT) is difficult to conceptualise for translation …
network models. Neural machine translation (NMT) is difficult to conceptualise for translation …
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 …