A FRAMEWORK FOR MULTILINGUAL AND SEMANTIC ENRICHMENT OF DIGITAL CONTENT (NEW L10N BUSINESS OPPORTUNITIES) FREME WEBINAR HELD FOR GALA, 28 APRIL 2016

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Gwendoline White
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Co-funded by the Horizon 2020 Framework Programme of the European Union Grant Agreement Number 644771 www.freme-project.

1 Co-funded by the Horizon 2020 Framework Programme of the European Union Grant Agreement Number A FRAMEWORK FOR MULTILINGUAL AND SEMANTIC ENRICHMENT OF DIGITAL CONTENT (NEW L10N BUSINESS OPPORTUNITIES) FREME WEBINAR HELD FOR GALA, 28 APRIL 2016 Presented by Tatjana Gornostaja (Tilde) and Felix Sasaki (DFKI / W3C Fellow) FREME Webinar for GALA April

2 OVERVIEW Introduction Technological aspects of the framework Localization and other FREME business cases Q&A FREME Webinar for GALA April

3 Coupling Knowledge and Language via e-service Ecosystem FREME Webinar for GALA April

4 Knowledge Language FREME Webinar for GALA April

5 Knowledge Language FREME Webinar for GALA April

6 Knowledge Language FREME Webinar for GALA April

7 FREME Picture: coloringpageswallpaper.com FREME Webinar for GALA April

8 THE FREME PROJECT Two year H2020 Innovation action; start February 2015 Industry partners leading four business cases around digital content and (linked) data Technology development bridging language and data Outreach and business modelling demonstrating monetization of the multilingual data value chain FREME Webinar for GALA April

9 CURRENT STATE OF SOLUTIONS Machine translation, terminology annotation,... Linked data creation & processing GAPS THAT HINDER BUSINESS: Plethora of formats Adaptability and platform dependency Language coverage Usability The right tool for the right person in given and new enterprises : technology influences job profiles FREME Webinar for GALA April

10 FREME TO THE RESCUE: ENRICHING DIGITAL CONTENT Machine translation, terminology annotation,... Linked data creation & processing A SET OF INTERFACES* - DESIGN DRIVEN BY BUSINESS CASES * Graphical interfaces * Software Interfaces LT and LD as first class citizens on the Web LT and LD for various user types: (application) developer, content architect, content author, FREME Webinar for GALA April

11 FREME Webinar for GALA April

12 OVERVIEW Introduction Technological aspects of the framework Localization and other FREME business cases Q&A FREME Webinar for GALA April

13 FREME FROM A TECHNICAL PERSPECTIVE A framework for multilingual and semantic enrichment of digital content that provides access via a set of APIs and GUIs to six E- services. e-entity for enriching content with information on named entities; e-link for enrichment with linked data sources; e-terminology for detecting terms and enriching them with term related information; e-translation for providing custom machine translation systems; e-internationalisation for processing a variety of digital content formats; and e-publishing for exporting the outcome of enrichment processes in the epub format. FREME Webinar for GALA April

14 FREME FROM A TECHNICAL PERSPECTIVE How to access FREME several options: A life version 0.5 (0.6 soon to be released!) including documentation at A development version at A Java / maven software package; see the documentation for installation instructions Source code in a GitHub project The framework is available under Apache 2.0 license to ease commercial use Underlying services have various licensing conditions FREME Webinar for GALA April

15 LINGUISTIC LINKED DATA AND OTHER STANDARDS PUT IN ACTION VIA FREME NIF (Natural Language Processing Interchange Format) for representing digital content and enrichment information in a format agnostic manner, based on the linked data stack; OntoLex lemon for representing lexical information, to be used e.g. for improving machine translation output; Internationalization Tag Set 2.0 for representing various types of enrichment information in a standardized manner, related e.g. to terminology named entities; and The general linked data technology stack (RDF, SPARQL etc.) FREME is built on outcomes of standard driving projects in FP7 in the area of linguist linked data: LIDER and FALCON Cf. and FREME Webinar for GALA April

EXAMPLE API CALL The request is made to the API for the e-entity service, a service that enriches content with named entities. The input format of content is plain text; the output format is turtle.

16 EXAMPLE API CALL The request is made to the API for the e-entity service, a service that enriches content with named entities. The input format of content is plain text; the output format is turtle. The content to enrich is Welcome to the city of Prague. The language or the content is English. The dataset used for the enrichment is DBpedia. FREME Webinar for GALA April

17 EXAMPLE OUTPUT: USING NIF TO STORE CONTENT (1) < (2) a nif:string, nif:context, nif:rfc5147string ; (3) nif:beginindex "0"^^xsd:int ; (4) nif:endindex "29"^^xsd:int ; (5) nif:isstring "Welcome to the city of Prague"^^xsd:string. 1) Identifying the content via a URI 2) Adding certain types from NIF* 3) Identifying the start offset of the content 4) Identifying the end offset of the content 5) Providing the string content itself. * For More on NIF: see a dedicated tutorial FREME Webinar for GALA April

18 AND ENRICHMENT INFORMATION (1) < (2) nif:anchorof "Prague"^^xsd:string ; (3) nif:beginindex "23"^^xsd:int ; (4) nif:endindex "29"^^xsd:int ; (5) nif:referencecontext < ; (6) itsrdf:taclassref < 1) Identifying the annotation via a URI 2) Providing the string content of the annotation 3) Identifying the start offset of the content 4) Identifying the end offset of the content 5) Relating the content to annotations 6) Enrichment with ITS 2.0 class information ( Prague = a city) FREME Webinar for GALA April

19 SIMPLIFIED OUTPUT HELPS API DEVELOPERS TO CONSUME LINKED DATA FREME provides user specified filter mechanism to simply the output Supports CVS, XML or JSON Example output as CSV For more infos on filtering, see FREME Webinar for GALA April

20 FORMAT COVERAGE Processing of various content formats NIF, RDF, Text, HTML, OpenOffice, XLIFF 1.2, various XML formats, Many formats are processed via e-internationalization services Format specified in API call as input and (partially supported) output FREME Webinar for GALA April

21 USING E-TERMINOLOGY WITH HTML OUTPUT <!DOCTYPE html> <body> welcome to the city of Prague. </body> </html> Call of e-terminology <!DOCTYPE html> welcome to the city of Prague. </html> FREME Webinar for GALA April

22 TRANSLATING XLIFF CONTENT WITH E-TRANSLATION...<trans-unit> <source>this is car</source> </trans-unit>... Call of e-translation < nif:isstring "This is a car"@en itsrdf:target "Dies ist ein Auto"@de. FREME Webinar for GALA April

23 IMPROVING E-TRANSLATION OUTPUT VIA E-TERMINOLOGY The EU in brief. The EU is a unique economic and political partnership between 28 European countries that together cover much of the continent. Call of e-terminology: detection of translation suggestions continent, partnership, briefing, economics, covering Call of e-translation: improved output! De voorschriften in DE EU. De EU is een uniek partnerschap tussen politiek en economie in de Europese landen, die gezamenlijk 28 verpakking van het continent. FREME Webinar for GALA April

24 OVERVIEW Introduction Technological aspects of the framework Localization and other FREME business cases Q&A FREME Webinar for GALA April

25 MOTIVATION Aid translators Supplement typical linguistic support tools like glossary look-up with entity recognition and term disambiguation Possibility to introduce proprietary and domain-specific semantic datasets Provide Value-Add to customers Make their content more interactive, compelling and discoverable Open up service offerings to new customers from existing and new channels FREME Webinar for GALA April

TRANSLATOR SUPPORT Automatic machine translation suggestions Automatic terminology look-up Includes definitions Automatic Entity Recognition Includes

26 TRANSLATOR SUPPORT Automatic machine translation suggestions Automatic terminology look-up Includes definitions Automatic Entity Recognition Includes many textual and visual contextual properties: descriptions, images, links to other resources FREME Webinar for GALA April

27 CUSTOMER VALUE-ADD DBpedia Translated Content Proprietary dataset Relationships can be formed between new content and existing knowledge resources Utilize open and private Multilingual Linked Data Cloud FREME Webinar for GALA April

BUSINESS BENEFITS Technological Support to Content Authors and Localizers Aid with the cognitive and physical tasks of finding and employing the most appropriate terminology Opens up Conversations

28 BUSINESS BENEFITS Technological Support to Content Authors and Localizers Aid with the cognitive and physical tasks of finding and employing the most appropriate terminology Opens up Conversations with New Customers Deliver semantically richer, more interactive, highly sociable and discoverable content Through integration, enrichment added automatically can be validated by human and saved with content Demonstrates Vistatec thought leadership to customers looking for service differentiators and value add FREME Webinar for GALA April

CHALLENGE AND OPPORTUNITY: BIG DATA IS GROWING ACROSS LANGUAGES,

news content, JA, ZH,... WHAT LIES AHEAD FOR SEVERAL INDUSTRIES?

and localisation BC: Agriculture and food domain data BC: Web site

29 CHALLENGE AND OPPORTUNITY: BIG DATA IS GROWING ACROSS LANGUAGES, SECTORS AND DOMAINS AR EN ES Agriculture metadata, user content, news content, JA, ZH,... WHAT LIES AHEAD FOR SEVERAL INDUSTRIES? SEE THE FREME BUSINESS CASES BC: Digital publishing BC: Translation and localisation BC: Agriculture and food domain data BC: Web site personalisation FREME Webinar for GALA April

30 DIGITAL PUBLISHING With a simple click you can fetch extra information from a dataset and use it to annotate content. FREME Webinar for GALA April

31 AGRICULTURE AND FOOD DATA Domain experts can automatically extract terms from title, description, abstracts and full text. FREME Webinar for GALA April

32 PERSONALISATION OF WEB CONTENT Businesses can identify the topics their customers are engaging with, focusing their global content strategy. FREME Webinar for GALA April

33 CONTACTS CONSORTIUM FREME Webinar for GALA April

34 OVERVIEW Introduction Technological aspects of the framework Localization and other FREME business cases Q&A FREME Webinar for GALA April

FREME WEBINAR SLIDES CREATED FEBRUARY Presented. FREME Webinar February 2016

Co-funded by the Horizon 2020 Framework Programme of the European Union Grant Agreement Number 644771 FREME WEBINAR SLIDES CREATED FEBRUARY 2016 www.freme-project.eu Presented on behalf of the FREME Consortium1