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Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off
In this scenario, a Quality Estimation (QE) tool can be used to score MT outputs, and a threshold on the QE scores can be applied to decide whether an MT output can be used as-is or requires human post-edition.
APE-QUEST: an MT Quality Gate
The APE-QUEST project (2018--2020) sets up a quality gate and crowdsourcing workflow for the eTranslation system of EC’s Connecting Europe Facility to improve translation quality in specific domains.
CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary
The CEFAT4Cities project (2020-2022) will create a “Smart Cities natural language context” (a software layer that facilitates the conversion of natural-language administrative procedures, into machine-readable data sets) on top of the existing ISA2 interoperability layer for public services.
Automatically extracting the semantic network out of public services to support cities becoming Smart Cities
The CEFAT4Cities project aims at creating a multilingual semantic interoperability layer for Smart Cities that allows users from all EU member States to interact with public services in their own language.
ELRC Action: Covering Confidentiality, Correctness and Cross-linguality
We describe the language technology (LT) assessments carried out in the ELRC action (European Language Resource Coordination) of the European Commission, which aims towards minimising language barriers across the EU.
Being Generous with Sub-Words towards Small NMT Children
In the context of under-resourced neural machine translation (NMT), transfer learning from an NMT model trained on a high resource language pair, or from a multilingual NMT (M-NMT) model, has been shown to boost performance to a large extent.
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?
We introduce a machine translation dataset for three pairs of languages in the legal domain with post-edited high-quality neural machine translation and independent human references.
