Project Details
Advancing Robust and Creative Human language technologies through CHallenge Events and Research
Project Period: 1. 12. 2024 - 30. 11. 2029
Project Type: grant
Code: SEP-210990692
Agency: European Comission EU
Program: European Defence Fund
Human Language, HLT, NLP, Translation, Speech Challenge
Human Language Technologies (HLT) development has boomed in recent years. These developments have yielded significant improvements in machine translation capabilities, automatic speech processing, extraction of information of interest from texts, etc. They have facilitated the operational use of HLT in several information systems, including online translation services, call centres, and voice assistants. However, the application and the deployment of these technologies in Defence systems for C4ISR and multinational operations reveals a number of shortcomings, failing to meet the operational needs and to achieve the required accuracy. This is mainly due to the specific needs of the Defence domain and its corresponding characteristics (dialects, low resources, or rare languages, use in the field, noise and communications quality, etc.) which are not taken into account by solutions originating in the civilian domain. With the digitalisation of the battlefield, which leads to more and more complex user interfaces and to ever-increasing volumes of language data to process, there is a growing need for enhanced language processing capabilities, particularly in the areas of speech recognition, machine translation, and natural language processing. To both tackle these problems and preserve Europe sovereignty in the sector, ARCHER will deliver a multi-annual challenge encouraging research to advance HLT bricks specifically tailored to Defence applications. The challenge will serve as a pivotal resource for evaluating the efficiency and reliability of HLT bricks, to best meet end-user needs.
Plchot Oldřich, Ing., Ph.D. (UPGM FIT VUT) , team leader
Rohdin Johan A., Dr. (UPGM FIT VUT) , team leader
Han Jiangyu, M.Eng. (UPGM FIT VUT)
Hegde Pradyoth (UPGM FIT VUT)
Peng Junyi, Msc. Eng. (UPGM FIT VUT)
Polok Alexander, Ing. (UPGM FIT VUT)
Szőke Igor, Ing., Ph.D. (UPGM FIT VUT)
Vendrame Katia, Ing. (UPGM FIT VUT)