In line with Plenipotentiary Resolution 154, which instructs the Directors of the Bureaux to report on the use of innovative translation technologies, and considering the specific needs of the Telecommunication Sector, especially the need for the translation of technical meeting documents that are seldom translated by the ITU translation services due to budget limitations, TSB has developed, in collaboration with C&P, an open-source, royalty-free neural machine translation tool, called ITU-Translate, and has trained it with ITU documents. Efforts have also been done to integrate website translation based on external machine translation services.
The market offers several cloud-based machine translation tools. These tools have limitations when it comes to the translation of ITU’s technical content, but which are applicable to general language expression. The project identifies and applies the best tools available per language pair for the translation of general-language webpages that are currently not translated.
C&P and TSB are thus addressing Resolution 154 with the implementation of high-quality gist translation services and enhanced computer-aided-translation (CAT) tools that will complement the scope of the work currently covered by C&P’s human translation service.
For further information, please contact firstname.lastname@example.org.
Natural disasters are responsible for countless injuries, mortalities, displacements, damages to property (including cultural heritage) and infrastructure, and disturbances to nature and natural resources. Between 2005 and 2015, natural disasters impacted 1.5 billion people in various ways (700,000 lives were lost, 1.4 million injuries were suffered, and 23 million were left homeless), and it has been shown that these natural disasters were predominantly hydrometeorological in origin. The situation is particularly acute in small island developing states (SIDS) and least developed countries (LDC), and for vulnerable populations.
Artificial intelligence (AI) can enhance our understanding of natural disasters and support disaster relief/early warning. However, AI is not yet part of the modus operandi in natural disaster management. Therefore, the Focus Group on AI for Natural Disaster Management (FG-AI4NDM) capitalizes on the growing interest and novelty of AI in the field of natural disaster management to help lay the groundwork for best practices in the use of AI for: assisting with data collection and handling, improving modelling across spatiotemporal scales, and providing effective communication.
To achieve these objectives, FG-AI4NDM will develop a community of engaged stakeholders and experts and build on past progress made by ITU in this domain.
Participation in the Focus Group is open to all interested stakeholders — to sign up, please join our mailing-list to receive regular updates.