Group items tagged

Title: Future web-based translation environments  Presenter: Stefan Kreckwitz For many years Web applications have found their way into the translation industry. These applications were predominantly limited to terminology systems and project portals. As is common for conventional Web applications, the user interaction was read-only or form-based. In the meantime, Web 2.0 appeared as a term for the new generation of Web applications. Apart from social aspects, Web 2.0 designates a combination of technologies, which can enable rich user interfaces and PC-equivalent interactivity. Some manufacturers of translation software have recognized the potential of Web 2.0 and work on Web-based translation environments. The advantages of these solutions are promising. But at present Web-based translation environments are quite restricted in comparison to the market-leading Windows applications.  The talk is about the challenges and opportunities of prospective Web-based translation environments. Apart from the functional convergence to Windows-based counterparts, the talk addresses ideas like "software as a service" and the harnessing of collective intelligence.

The BBN Broadcast Monitoring System™ creates a continuous searchable archive of international television broadcasts. The system automatically transcribes the real-time audio stream and translates it into English. Both the transcript and translation are searchable and synchronized to the video, providing powerful capabilities for effective retrieval and precise playback of the video based on its speech content. With this revolutionary system, users can sift through vast collections of news content in other languages quickly and efficiently.

transcript in both the original language and English with the synchronized video.

Google is preparing to launch Google Translation Center

This is an interesting move, and it has broad implications for the translation industry, which up until now has been fragmented and somewhat behind the times, from a technology standpoint

Google has been investing significant resources in a multi-year effort to develop its statistical machine translation technology.