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WiKollect creates a workflow to transfer high-quality content across languages, utilizing artificial intelligence and human evaluation. It aims to enhance language learning and content accessibility by filling gaps in documents with relevant information.
WiKollect aims at creating a workflow for the large-scale transference of high-quality contents across languages.
The workflow is divided in four cyclic steps.
In step (i) an automatic model will identify contents available in a document in language A which are missing in a document, on the same topic, in language B.
In step (ii) candidates to fill the gaps in the document in language B will be automatically generated.
In step (iii) such candidates will be subject to manual evaluation by langua…
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