We present the latest version of the SUMMA platform, an open-source software platform for monitoring and interpreting multi-lingual media, from written news published on the internet to live media broadcasts via satellite or internet streaming.This work was conducted within the scope of the Research and Innovation Action SUMMA, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688139

Barzdins, Guntis

Birch-Mayne, Alexandra

Germann, Ulrich

van der Kreeft, Peggy

Kreeft, Peggy van der

Birch, Alexandra

The SUMMA Platform: Scalable Understanding of Multilingual Media

SUMMA is an EU-funded Research and Innovation Action to develop a highly scalable open-source infrastructure for monitoring and interpreting news streams in a variety of formats, from TV broadcasts via satellite to RSS feeds to scheduled queries to news organisations’ and social media’s custom APIs for news dissemination.

The platform can record, transcribe, translate, interpret and summarize news content in multiple languages and make it available through graphical user interfaces and database APIs

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Proceedings of the21st Annual Conference ofthe European Associationfor Machine Translation28–30 May 2018Universitat d’AlacantAlacant, SpainEdited byJuan Antonio Pe´rez-OrtizFelipe Sa´nchez-Mart´ınezMiquel Espla`-GomisMaja Popovic´Celia RicoAndre´ MartinsJoachim Van den BogaertMikel L. ForcadaOrganised byresearch groupThe papers published in this proceedings are —unless indicated otherwise— covered by theCreative Commons Attribution-NonCommercial-NoDerivatives 3.0 International (CC-BY-ND3.0). You may copy, distribute, and transmit the work, provided that you attribute it (au-thorship, proceedings, publisher) in the manner specified by the author(s) or licensor(s), andthat you do not use it for commercial purposes. The full text of the licence may be found athttps://creativecommons.org/licenses/by-nc-nd/3.0/deed.en.c© 2018 The authorsISBN: 978-84-09-01901-4The SUMMA Platform:Scalable Understanding of Multilingual MediaUlrich Germann,© Peggy van der Kreeft,« Guntis Barzdins,¨ª Alexandra Birch©© University of Edinburgh; « Deutsche Welle; ¨ LETA; ª University of Latviafor the SUMMA Consortium∗corresponding authors: ugermann@ed.ac.uk, peggy.van-der-kreeft@dw.comAbstractWe present the latest version of the SUMMAplatform, an open-source software platformfor monitoring and interpreting multi-lingualmedia, from written news published on theinternet to live media broadcasts via satelliteor internet streaming.1 IntroductionThe SUMMA platform is a highly scalable open-source infrastructure for monitoring and interpret-ing news streams in multiple languages,1 and a va-riety of media formats, from written text publishedon the internet to live TV broadcasts via satellite.Three use cases drive the project.External Media MonitoringBBC Monitoring (BBCM) is a business unit withinthe BBC tasked with monitoring and digesting in-ternational news broadcasts and other media as aninternal service to the BBC as well as a paid serviceto outside customers.The SUMMA platform will allow BBCM’s staffjournalists to widen their monitoring coverage andfocus on news interpretation and analysis by alle-viating them from mundane monitoring tasks.Internal MonitoringDeutsche Welle (DW) is an international broad-caster covering world-wide news in 30 different lan-guages. Regional news rooms produce and broad-cast content independently. Monitoring DW’s out-put with the SUMMA platform will enable DW asan organisation to better keep track of its own out-put and determine which stories have been coveredwhere, and where there are gaps in the coverage.Data JournalismThe SUMMA database will give journalists accessto many thousands of news stories with additional∗ The SUMMA Consortium comprises the University of Edinburgh, LETA, Idiap Research Institute, Priberam,Qatar Computing Research Institute, University College London, and Sheffield University as research partners,and the BBC and Deutsche Welle as use case partners.∗ c© 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works,attribution, CC-BY-ND.1 Arabic, German, English, Farsi,* Latvian,* Portuguese,* Russian, Spanish, Ukranian* (* planned for late 2018)Transcribe*Translate*Recogniseand link named entitiesExtract factsand relationsCluster similardocumentsDetecttopicsRecord*SummariseclustersDatabase ofannotatednews items* if applicableFigure 1: The SUMMA Platform Architecturemetadata such as named entity tags provided bySUMMA’s NLP processing modules, providing forlarge-scale analysis of the constantly evolving newslandscape.2 ArchitectureThe design of the SUMMA platform is shown inFig. 1. Incoming media streams are downloadedand/or recorded, depending on the source. Au-dio is automatically transcribed, and non-Englishmaterial is machine-translated into English. Theresulting text-based news items are then processedwith downstream NLP modules: topic detection;named entity recognition and linking, and extrac-tion of relations between named entities to buildup a knowledge base of “facts” (i.e., factual claimsmade in news reporting); and document clusteringand multi-document cluster summarization.News items, mentions of named entities, etc., arestored in a central database that can be accessedby users via web-browser-based user interfaces, orby programs via programmatic interfaces (APIs).AcknowledgementsThis work was conducted within the scopeof the Research and Innovation ActionSUMMA, which has received funding from the Eu-ropean Union’s Horizon 2020 research and innova-tion programme under grant agreement No 688139.Pe´rez-Ortiz, Sa´nchez-Mart´ınez, Espla`-Gomis, Popovic´, Rico, Martins, Van den Bogaert, Forcada (eds.)Proceedings of the 21st Annual Conference of the European Association for Machine Translation, p. 353Alacant, Spain, May 2018.

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     Edinburgh Research Explorer                                      The SUMMA PlatformCitation for published version:Germann, U, van der Kreeft, P, Barzdins, G & Birch-Mayne, A 2018, 'The SUMMA Platform: ScalableUnderstanding of Multilingual Media' 21st Annual Conference of the European Association for MachineTranslation, Alicante, Spain, 28/05/18 - 30/05/18, pp. 353.Link:Link to publication record in Edinburgh Research ExplorerDocument Version:Peer reviewed versionGeneral rightsCopyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)and / or other copyright owners and it is a condition of accessing these publications that users recognise andabide by the legal requirements associated with these rights.Take down policyThe University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorercontent complies with UK legislation. If you believe that the public display of this file breaches copyright pleasecontact openaccess@ed.ac.uk providing details, and we will remove access to the work immediately andinvestigate your claim.Download date: 14. Jun. 2018The SUMMA Platform:Scalable Understanding of Multilingual MediaUlrich Germann,© Peggy van der Kreeft,« Guntis Barzdins,¨ª Alexandra Birch©© University of Edinburgh; « Deutsche Welle; ¨ LETA; ª University of Latviafor the SUMMA Consortium∗corresponding authors: ugermann@ed.ac.uk, peggy.van-der-kreeft@dw.comAbstractWe present the latest version of the SUMMAplatform, an open-source software platformfor monitoring and interpreting multi-lingualmedia, from written news published on theinternet to live media broadcasts via satelliteor internet streaming.1 IntroductionThe SUMMA platform is a highly scalable open-source infrastructure for monitoring and interpret-ing news streams in multiple languages,1 and a va-riety of media formats, from written text publishedon the internet to live TV broadcasts via satellite.Three use cases drive the project.External Media MonitoringBBC Monitoring (BBCM) is a business unit withinthe BBC tasked with monitoring and digesting in-ternational news broadcasts and other media as aninternal service to the BBC as well as a paid serviceto outside customers.The SUMMA platform will allow BBCM’s staffjournalists to widen their monitoring coverage andfocus on news interpretation and analysis by alle-viating them from mundane monitoring tasks.Internal MonitoringDeutsche Welle (DW) is an international broad-caster covering world-wide news in 30 different lan-guages. Regional news rooms produce and broad-cast content independently. Monitoring DW’s out-put with the SUMMA platform will enable DW asan organisation to better keep track of its own out-put and determine which stories have been coveredwhere, and where there are gaps in the coverage.Data JournalismThe SUMMA database will give journalists accessto many thousands of news stories with additional∗ The SUMMA Consortium comprises the University of Edinburgh, LETA, Idiap Research Institute, Priberam,Qatar Computing Research Institute, University College London, and Sheffield University as research partners,and the BBC and Deutsche Welle as use case partners.∗ c© 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works,attribution, CC-BY-ND.1 Arabic, German, English, Farsi,* Latvian,* Portuguese,* Russian, Spanish, Ukranian* (* planned for late 2018)Transcribe*Translate*Recogniseand link named entitiesExtract factsand relationsCluster similardocumentsDetecttopicsRecord*SummariseclustersDatabase ofannotatednews items* if applicableFigure 1: The SUMMA Platform Architecturemetadata such as named entity tags provided bySUMMA’s NLP processing modules, providing forlarge-scale analysis of the constantly evolving newslandscape.2 ArchitectureThe design of the SUMMA platform is shown inFig. 1. Incoming media streams are downloadedand/or recorded, depending on the source. Au-dio is automatically transcribed, and non-Englishmaterial is machine-translated into English. Theresulting text-based news items are then processedwith downstream NLP modules: topic detection;named entity recognition and linking, and extrac-tion of relations between named entities to buildup a knowledge base of “facts” (i.e., factual claimsmade in news reporting); and document clusteringand multi-document cluster summarization.News items, mentions of named entities, etc., arestored in a central database that can be accessedby users via web-browser-based user interfaces, orby programs via programmatic interfaces (APIs).AcknowledgementsThis work was conducted within the scopeof the Research and Innovation ActionSUMMA, which has received funding from the Eu-ropean Union’s Horizon 2020 research and innova-tion programme under grant agreement No 688139.Pe´rez-Ortiz, Sa´nchez-Mart´ınez, Espla`-Gomis, Popovic´, Rico, Martins, Van den Bogaert, Forcada (eds.)Proceedings of the 21st Annual Conference of the European Association for Machine Translation, p. 353Alacant, Spain, May 2018.

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The SUMMA Platform:Scalable Understanding of Multilingual Media

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