Curated Multilingual Language Resources for CEF AT ( CURLICAT ): overall view (2022)

Abstract: The work in progress on the CEF Action CURLICA T is presented. The general aim of the Action is to compile curated datasets in seven languages of the con- sortium in domains of relevance to Euro- pean Digital Service Infrastructures (DSIs) in order to enhance the eTransla- tion services.

## introduction the paper © presents the work in progress on the cef action curated multilingual language resources for cef at (curlicat, which runs from 2020-06-01 till 2022-11-30). the aim of the action is to compile monolingual curated datasets in seven languages of the consortium (bulgarian, croatian, hungarian, polish, romanian, slovak, slovenian) in domains of relevance to european digital service infrastructures (dsis) with a view to enhancing the etranslation automated translation system. ## datasets the primary data come from national or reference corpora of the above languages and it is planned to cover domains of interest for cef dsis such as ehealth, europeana or egovernment. when completed, the corpus will contain at least at least 2 million sentences from each language, i.e. 14 million sentences, estimated to number at least 140 million words, from domains including culture, health, science and economy/finances. for each language, it is expected to produce corpora in each of the above mentioned four domains with at least 500 000 sentences and 5 million words. in case that legally non-binding data with a clear licence allowing free redistribution could not be found from the national corpora in the required quantities, additional data is included from other sources. ## conclusions since an important aspect of today's neural machine translation technology is the quality of the language model, the envisaged seven language corpora, although monolingual datasets in themselves, can be rightly expected to make an impact on the quality of the etranslation system through the enhanced language models built with them. since these corpora in seven languages cover systematically the same four domains, they could be regarded also as comparable corpora for these domains and thus be used for further processing, e.g. in parallel terminology extraction. moreover, the action addresses the gap in mt technology, which crucially depends on the provision of domain specific quality language resources for the under-resourced languages.