Donatienne Spiteri


2022

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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.

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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).

2021

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Malta National Language Technology Platform: A vision for enhancing Malta’s official languages using Machine Translation
Keith Cortis | Judie Attard | Donatienne Spiteri
Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021)

In this paper we introduce a vision towards establishing the Malta National Language Technology Platform; an ongoing effort that aims to provide a basis for enhancing Malta’s official languages, namely Maltese and English, using Machine Translation. This will contribute towards the current niche of Language Technology support for the Maltese low-resource language, across multiple computational linguistics fields, such as speech processing, machine translation, text analysis, and multi-modal resources. The end goals are to remove language barriers, increase accessibility, foster cross-border services, and most importantly to facilitate the preservation of the Maltese language.