SUMMA integrates stream-based media processing tools (including speech recognition and machine translation) with deep language understanding capabilities (including named entity relation extraction and semantic parsing), for open-source applications and implemented in use cases at the BBC and Deutsche Welle.
SUMMA is a Horizon 2020 Research and Innovation Action, running from 1st February 2016 to 31st January 2019.
Peggy van der Kreeft, from Deutsche Welle Innovation, represented SUMMA at the Media Fast Forward (MFF2016) event, organized by the VRT (Flemish Radio and Television company) in Brussels on 8 December 2016. Dieter Boen, VRT Innovation Manager, introduced the event and talked about VRT efforts on innovation collaboration and its tools, such as VRT Sandbox, Open VRT, and the Live-IP Studio. Trying out the new technologies on the floor, in the production process itself, is vital, as it reveals the issues and challenges. Some 400 people registered for the event, the majority coming from Flanders, as most of the sessions were in Flemish. Nevertheless, it also provided a somewhat broader, international perspective, starting with the keynote speech by Phil Fearnley, BBC Director of Homepage & My BBC, on the BBC transformation journey, personalization of content and user engagement.
Peggy van der Kreeft from Deutsche Welle Innovation will represent SUMMA at an HLT (Human Language Technologies) workshop at the European Parliament in Brussels on 10 January 2017. The workshop, entitled “Language equality in the digital age towards a Human Language Project”, will contribute to put HLT on the European political agenda.
Over the last two years, there has been a leap forward in machine translation research as deep learning methods, or neural networks, have been applied to translation. In September Google published a widely reported paper which claimed that for some types of content, neural machine translation (NMT) models were reaching human levels of performance. This claim is unfortunate because we are still a long way off human levels of performance, and in all likelihood for many types of content we will never reach human levels. However, Google and a number of other organisations such as WIPO and Systrans have already put their NMT models into production and we have seen a noticeable improvement in MT quality, especially for language pairs which were previously considered challenging, such as English into and out of Chinese, Japanese, German and Czech.
What were the events involving Apple Inc. reported in the news last year? What were the main incidents related to Airbus A380? While it is possible to search for news stories about these entities on a news website, readers find it useful to havetimelines reporting the key events for the entities that interest them.
SUMMA is leading a session on Speech and Language Technologies for Media Processing at the upcoming LT-Accelerate 2016 meeting 21-22 November 2016 in Brussels, Belgium.
SUMMA presented at Global Media Forum 2016
LETA, as part of Team RIGA, wins the AMR PARSING 2016 trophy at SemEval 2016
SUMMA attended meta-forum 2016
Meet us on 13-15 June 2016 at Deutsche Welle Global Media Forum
Who will win the US elections? Deutsche Welle launches PollyVote , an evidence-based election forecasting model.
Already at the end of month three SUMMA has a prototype developed by LETA.
A user-focused meeting held at BBC Monitoring in Caversham, UK.
Hello World! The SUMMA projects starts on 1 February, 2016.
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