Jānis Ziediņš


2022

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National Language Technology Platform (NLTP): overall view
Artūrs Vasiļevskis | Jānis Ziediņš | Marko Tadić | Željka Motika | Mark Fishel | Hrafn Loftsson | Jón Gu | Claudia Borg | Keith Cortis | Judie Attard | Donatienne Spiteri
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

The work in progress on the CEF Action National Language Technology Platform (NLTP) is presented. The Action aims at combining the most advanced Language Technology (LT) tools and solutions in a new state-of-the-art, Artificial Intelli- gence (AI) driven, National Language Technology Platform (NLTP).

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Latvian National Corpora Collection – Korpuss.lv
Baiba Saulite | Roberts Darģis | Normunds Gruzitis | Ilze Auzina | Kristīne Levāne-Petrova | Lauma Pretkalniņa | Laura Rituma | Peteris Paikens | Arturs Znotins | Laine Strankale | Kristīne Pokratniece | Ilmārs Poikāns | Guntis Barzdins | Inguna Skadiņa | Anda Baklāne | Valdis Saulespurēns | Jānis Ziediņš
Proceedings of the Thirteenth Language Resources and Evaluation Conference

LNCC is a diverse collection of Latvian language corpora representing both written and spoken language and is useful for both linguistic research and language modelling. The collection is intended to cover diverse Latvian language use cases and all the important text types and genres (e.g. news, social media, blogs, books, scientific texts, debates, essays, etc.), taking into account both quality and size aspects. To reach this objective, LNCC is a continuous multi-institutional and multi-project effort, supported by the Digital Humanities and Language Technology communities in Latvia. LNCC includes a broad range of Latvian texts from the Latvian National Library, Culture Information Systems Centre, Latvian National News Agency, Latvian Parliament, Latvian web crawl, various Latvian publishers, and from the Latvian language corpora created by Institute of Mathematics and Computer Science and its partners, including spoken language corpora. All corpora of LNCC are re-annotated with a uniform morpho-syntactic annotation scheme which enables federated search and consistent linguistics analysis in all the LNCC corpora, as well as facilitates to select and mix various corpora for pre-training large Latvian language models like BERT and GPT.

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National Language Technology Platform for Public Administration
Marko Tadić | Daša Farkaš | Matea Filko | Artūrs Vasiļevskis | Andrejs Vasiļjevs | Jānis Ziediņš | Željka Motika | Mark Fishel | Hrafn Loftsson | Jón Guðnason | Claudia Borg | Keith Cortis | Judie Attard | Donatienne Spiteri
Proceedings of the Workshop Towards Digital Language Equality within the 13th Language Resources and Evaluation Conference

This article presents the work in progress on the collaborative project of several European countries to develop National Language Technology Platform (NLTP). The project aims at combining the most advanced Language Technology tools and solutions in a new, state-of-the-art, Artificial Intelligence driven, National Language Technology Platform for five EU/EEA official and lower-resourced languages.