Scaling up a Hybrid MT System: From low to full resources
DOI:
https://doi.org/10.52034/lanstts.v8i.245Keywords:
MT evaluation, contextual evaluation, quality models for MT, contexts of use for MT, evaluation plans, web-based interfaces, FEMTIAbstract
This article describes a hybrid approach to machine translation (MT) that is inspired by the rule-based, statistical, example-based, and other hybrid machine translation approaches currently used or described in academic literature. It describes how the approach was implemented for language pairs using only limited monolingual resources and hardly any parallel resources (the METIS-II system), and how it is currently implemented with rich resources on both the source and target side as well as rich parallel data (the PaCo-MT system). We aim to illustrate that a similar paradigm can be used, irrespectively of the resources available, but of course with an impact on translation quality.Downloads
Published
25-10-2021
How to Cite
Vandeghinste, V. (2021). Scaling up a Hybrid MT System: From low to full resources. Linguistica Antverpiensia, New Series – Themes in Translation Studies, 8. https://doi.org/10.52034/lanstts.v8i.245
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Copyright (c) 2021 Vincent Vandeghinste
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