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.

Latest Blog Posts

Read latest blog posts from SUMMA, click to read more.

Tackling information overload: Prototype Monsoon

In the modern newsroom journalists are bombarded with information from an ever-growing number of sources – Twitter, Facebook and other social platforms, alongside more traditional sources of news, including news wires. In a pressurised news environment, it can be hard to spot new stories or developments in existing stories in the sea of information.  And…

Using sandcastle to cope with a tidal wave of stories

SUMMA prototype for internal media monitoring The BBC World Service is an international multimedia broadcaster, delivering a wide range of services in 42 languages on radio, TV, online and via handheld devices. The different language teams deliver world class, original journalism to an audience of over 376 million people every week. But with each team…

Flexibility Through SUMMA User Interfaces

From the beginning, the SUMMA consortium decided to build a common monitoring platform which is robust and flexible. Thus, initially, also one common user interface was projected. As the project progressed, though, we developed several UIs to cater for a variety of target groups, interests and use cases. The initial, simplified SUMMA UI:  The advantage…

Deutsche Welle Users Explore Internal Monitoring

Internal monitoring is seen as keeping track of what is produced within one’s own organisation. Thus, in the case of Deutsche Welle, who focused on internal monitoring in SUMMA, this comes down to tracking what content was published across the different languages covered by Deutsche Welle (DW produces in 30 languages in total). SUMMA can…

Announcing End of SUMMA project

It’s done ! The SUMMA project ended officially on 31 January 2019. But it does not mean we stop here. The outcome is very promising, the tools will lead their own lives, and we will continue to inform and support the SUMMA community. We give you a brief overview of the results and achievements of…

Deutsche Welle Slackbot prototype

Deutsche Welle developed a slackbot as a tool for journalists during the SUMMA hackathon in London on 21-22 November 2017. The slackbot is an alert system as well as a research tool. Through the bot, journalists can explore Deutsche Welle content in various languages. It uses machine translation, summarization and clustering modules of SUMMA. In…

Deutsche Welle Data Dashboard

In the scope of SUMMA project, Deutsche Welle developed a data journalism dashboard. The dashboard has two components; trending entities for the last 24 hours and trending storylines since last month. The output from the SUMMA system is consumed by the dashboard through SUMMA APIs. Trending Entities Entities are people, places and organizations detected in the…

SUMMA Release as Open Source

A major achievement: SUMMA has released a first open-source version of the platform on Github! The platform has been presented at many events and has triggered a lot of interest. We received numerous requests on how to try it out, how to get access to the platform. Of course, we wanted to deliver it in…

SUMMA in a Nutshell

The SUMMA video is ready and released ! It explains in a nutshell how the SUMMA platform can help professionals working in the journalistic area benefit from the system using it for searching for trending topics in any language available in the platform (currently 9, but it can be expanded to most languages). It shows the…

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