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https://www.um.edu.mt/library/oar/handle/123456789/114760| Title: | National Language Technology Platform (NLTP) : The Final Stage |
| Authors: | Vasiļevskis, Artūrs Ziediņš, Jānis Tadić, Marko Motika, Željka Fishel, Mark Barkarson, Bjarni Borg, Claudia Aquilina, Keith Spiteri, Donatienne |
| Keywords: | Artificial intelligence Translating and interpreting -- Data processing Translating machines Translating and interpreting -- Technological innovations Machine learning |
| Issue Date: | 2023 |
| Publisher: | INCOMA Ltd. |
| Citation: | Vasiļevskis, A., Ziediņš, J., Tadić, M., Motika, Ž., Fishel, M., Barkarson, B.,…Spiteri, D. (2023). National Language Technology Platform (NLTP): The Final Stage. International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023), Naples. 203-208. |
| Abstract: | The final stage and the demo of the National Language Technology Platform (NLTP) developed within the CEF action of the same name is present- ed in this paper. The action aims at combining the most advanced language technology tools and solutions in a new state-of-the-art, artificial-intelligence- driven, web-based national platform for language technology oriented primarily towards users from public administrations of partner states. The Platform com- bines into a single framework the CAT tools, the TMs usage and management, the terminology management, several different MT engines and other language technology modules. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/114760 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| HIT2023.pdf | 1.46 MB | Adobe PDF | View/Open |
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