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Automation of the translation process of conversations with impact on National Security
Challenge
The global fight against threats such as terrorism and organised crime requires the use of different languages and dialects, and different means of communication.
Advances in communication interception and intelligence technology (SIGINT, COMMINT, OSINT) are generating large volumes of information in different formats (audio, video, unstructured text) and with different speeds of dissemination, which must be analysed. Therefore, it is critical to find actionable intelligence quickly.
Intelligence services need to automate the ingestion of information and improve the detection of critical and security-valuable data, as one of the most challenging aspects of this process is having people to translate from Arabic, Urdu, Russian and any other language of national security interest.
Services and Products for Translations
We are a distributor of the world leader in translation systems, in particular SDL Machine Translation and SDL Enterprise Translation Server (ETS).
Development of a translation platform based on Big Data technology which integrates SDL technology, a world leader in the field of translation systems.
Solution
The indicators used for this client, given that they had given their consent, were as follows:
- Big Data architecture built around a datalake.
- Ingestion of data from different sources, structures and with different characteristics that are entered into another storage and processing system.
- Inclusion of open source through Future Space products such as FS Crawler and FS Entities
- Automate the translation process through expert systems based on neural models that do not require uploading information to the cloud. SDL translation software can operate in an offline environment and behind firewalls at customer sites.
Benefits
- Translate more content, faster and with fewer translators into a single common language.
- Handling large volumes of information that can be analyzed and related more quickly in the research process.
- It helps the analyst to spend less time on translation and more time on the analysis process.
