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META-NET has received funding from the EU’s Horizon 2020 research and innovation programme through the contract CRACKER
(grant agreement no.: 645357). Formerly co-funded by FP7 and ICT PSP through the contracts T4ME (grant agreement no.: 249119),
CESAR (grant agreement no.: 271022), METANET4U (grant agreement no.: 270893) and META-NORD (grant agreement no.: 270899).
Georg Rehm
DFKI, Germany
georg.rehm@dfki.de
META-FORUM 2017
Brussels, Belgium – November 13/14, 2017
– Strategic Research and Innovation Agenda (V1.0) –
Language Technologies for Multilingual Europe.
Towards a Human Language Project
Outline
q History – a brief look back
q SRIA Version 1.0 and the Human Language Project
q Survey “Language Technologies for Multilingual Europe”
q Conclusions
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 2
q Published in early 2013.
q First strategic research
agenda for our field.
q Complex process of
collecting and shaping
technology visions.
q Hundreds of researchers
participated.
q Broad topics around
Multilingual Europe in
general.
History
q SRIA V0.5 presented at META-
FORUM 2015 and Riga Summit.
q Built upon strategy papers and
roadmaps prepared by several
European projects, incl. the META-
NET SRA (2013).
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Strategic Agenda for the
Multilingual Digital Single Market
Technologies for Overcoming Language Barriers towards
a truly integrated European Online Market
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Version 0.5 – April 22, 2015
History
q SRIA V0.9 unveiled at META-FORUM 2016
q Prepared, presented and endorsed by the Cracking the Language
Barrier federation (editorial team).
q Explains how the LT community is going
to make the DSM multilingual.
Strategic Research and Innovation Agenda
Language as a Data Type and
Key Challenge for Big Data
Enabling the Multilingual Digital Single Market
through technologies for translating, analysing, processing
and curating natural language content
SRIA Editorial Team
Version 0.9 – July 2016
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Strategic Agenda for the
Multilingual Digital Single Market
Technologies for Overcoming Language Barriers towards
a truly integrated European Online Market
D
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Version 0.5 – April 22, 2015
Application Areas in V0.9
q Multilingual E-commerce
§ Customer-facing vs. back-office facing (after-market, after-sales)
§ Crosslingual search, CRM, helpdesks, processes, workflows
§ Semantic, crosslingual product descriptions and catalogues
§ Online dispute resolution
q Multilingual Content, Media, Verticals
§ Content analytics, curation, generation (incl. authoring support)
§ Multimodal communication (speech, written, IoT)
§ Vertical domains: health, government, mobility, energy, legal.
q Translation, Language, Knowledge, Data
§ Translation Centre – written/spoken, automatic/human
§ Crosslingual public and social intelligence, business intelligence
§ HQ resources, under-resourced languages, domain-specific LRs
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 7
• STOA Workshop in European Parliament (January 2017):
“Language equality in the digital age – towards a Human Language Project”
• Human Language Project vision suggested in several presentations
• STOA Study, published in March 2017, recommend setting up the HLP
Ø http://www.stoa.europarl.europa.eu/stoa/cms/home/workshops/language
STUDY
EPRS | European Parliamentary Research Service
Scientific Foresight Unit (STOA)
PE 581.621
Science and Technology Options Assessment
8
Current Developments
q Multilingual Europe: our languages enjoy equal status yet digital
extinction of the majority of EU languages is a very severe danger.
q Language Technology Research and Innovation in Europe:
World class research results (e.g., in QT21), strong SME base,
thousands of LSPs; fragmentation; need for coordination.
q Digitisation of our Continent – Big need for HQ Language
Technologies: translation, personal assistants, MDSM etc.
q Artificial Intelligence: Important breakthroughs and massive
investments in R&D and applications (mostly in the US and Asia)
– huge opportunity for Europe!
q The European Language Challenge cannot be abandoned or
outsourced!
Ø Need for Language Technology made in Europe for Europe!
9http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
SRIA Version 1.0 beta
q SRIA V1.0 beta – unveiled today
at META-FORUM 2017
q Prepared and presented by Cracking
the Language Barrier federation
q Extended editorial team
q Document available on
http://www.cracker-project.eu
http://www.cracking-the-language-barrier.eu
Strategic Research and Innovation Agenda
Language Technologies for
Multilingual Europe
Towards a Human Language Project
SRIA Editorial Team
Version 1.0 beta – November 2017
SRIA Version 1.0 beta
q SRIA 1.0 beta fully endorses and
supports the STOA study
q Also our key recommendation:
set up the Human Language Project
q Positive side effect: establish the
Multilingual Digital Single Market
q SRIA informed by survey “Language
Technology for Multilingual Europe”
Strategic Research and Innovation Agenda
Language Technologies for
Multilingual Europe
Towards a Human Language Project
SRIA Editorial Team
Version 1.0 beta – November 2017
STOA Study
q “Language Equality in the Digital Age –
Towards a Human Language Project”
q Strongly recommends to initiate the HLP
q Five main policy groups, 11 recommendations
q Research policies
§ Refocus and strengthen research in the HLP
§ European HLP Platform
of data and services
§ Bridge the technology
gap between European
languages
STUDY
EPRS | European Parliamentary Research Service
Scientific Foresight Unit (STOA)
PE 581.621
Science and Technology Options Assessment
http://www.meta-net.eu 12
Multilingual Europe Survey
q Conducted in May/June 2017
q 29 questions (16 open, 13 m/c)
q Three main parts:
1) Background and interests
2) Visions for a large-scale HLP
3) Talent generation/retention
q 634 participants from 52 countries
q Very high completion rate (27%)
q Avg. time to complete: 35,48 mins.
q è Respondents are extremely
passionate about this topic!
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 13
Survey: Demographics
q 634 respondents from 52 countries
(37 European countries, 27 MS)
q High level of seniority (53% have >20
years of experience, 27% >10 years)
q Diverse Expertise: Language Technology,
Computational Linguistics, Linguistics,
Artificial Intelligence, Computer Science
q Majority based at universities (63%)
q Substantial group of participants (16%)
from industry
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 14
Survey Results 1/7
q Support for a Human Language Project
97% of all respondents support the idea of a
HUMAN LANGUAGE PROJECT
87% of all respondents believe
DEEP NATURAL LANGUAGE UNDERSTANDING
AND GENERATION BY 2030
to be an adequate scientific challenge and goal
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 15
Survey Results 2/7
q Timeframe and Stakeholder Involvement (funding)
24%
35%
35%
7%
> 15 years
10- 15 years
5-10 years
5 years
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 16
Stakeholder Votes
European Commission 89%
Member States 57%
Industry 57%
Shared  Programme between
the  EU  and  the  Member  States!
Survey Results 3/7
q Economic Sectors – Impact of Language
Technologies, especially in the context of the DSM
Sectors to have the highest potential contribution to
commercial growth
Education 71%
Information and Communication Technologies 64%
Human Health and Social Work 45%
Specific services and applications that could benefit the
Multilingual DSM
Language Resources and Technologies 73%
Translation Services 46%
Multilingual Solutions for E-Learning 41%
E-Health 38%
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 17
Survey Results 4/7
q Key Research Areas mentioned by the respondents
Deep Learning, Natural Language Understanding
Data and Knowledge Repositories
NLP Applications
Machine Translation
Speech
Open Source Platforms
Conversational Interfaces and Agents
Multimodal Human Machine Interaction
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 18
Survey Results 5/7
q Applications
Machine Translation
Download services for multilingual resources
including ontologies, lexicons, dictionaries etc.
More in-depth development of NLP tools is
encouraged, especially speech applications
Other applications include IE and IR, summarisation,
search systems and intelligent assistants
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 19
Survey Results 6/7
q European LT Data and Service Platform
Importance of easy accessibility and open licensing for
available tools and data including commonly agreed
upon exchange formats and standards (30%)
Involvement of all stakeholders, i.e., data providers, LT
providers and LT consumers (11%)
Unified, high-level, transparent and user-friendly
approach with common goals (11%)
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 20
Survey Results 7/7
q Talent Generation and Retention
Closer collaboration between academia and industry
(e.g., through job fairs, hackathons etc.)
74%
Reorganisation of university curriculums 62%
Fostering a more enterpreneurial culture (e.g., through
specialised course modules, accelerator programmes etc.)
43%
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 21
Human Language Project
q Large-scale EU funding programme – 10-15 years
q Goal: Deep Natural Language Understanding by 2030
q Artificial Intelligence for Next Generation Language Technology!
q New breakthroughs and groundbreaking results for industry,
society, innovation, economy (multilingual digital single market).
22
Artificial Intelligence
Including cognition, perception, vision, cross-modal,
cross-platform, cross-culture, Internet of Things etc.
Machine Learning
Language TechnologiesKnowledge Technologies
http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Human Language Project – Interdisciplinary R&D&I Programme
Basic
Research
•Results in new
methods,
approaches
Applied R&D
•Results in novel
technologies
Innovation
•Results in novel
or improved
products or
services
Research Themes – Needs and Gaps (market-driven)
• Computational Linguistics
• Artificial Intelligence
• Language Technology
• Linguistics
• Computer Science
• Cognitive Science
• other related fields
• New, groundbreaking
methods, paradigms,
approaches
• Foster technologies,
products, innovation,
economy
• Foster education
HLP: Umbrella programme
to turbo-charge and to
coordinate all European
R&D&I activities in a
systematic way including
EP, EC, Member States.
23
Human Language Project
q Goal: Deep Natural Language Understanding
q Breakthroughs in Artificial Intelligence plus a fresh look at
Linguistics for the Next Generation of LT!
q All official European and many additional languages
q Broad coverage, high quality, high precision
q Create approaches, algorithms, data sets, resources
q Across modalities: text, text types, speech, image, video etc.
q Across platforms: messaging, telephony, social, mobile, IoT etc.
q Across cultures: knowledge, customs, formalities, humour,
emotion, subjectivity, biases, opinions, filter bubble etc.
24http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Human Language Project
q Collaboration and coordination between EC, EP,
Member States and all other stakeholders.
q Mix of funding sources:
§ EU projects: Horizon 2020 (WP 2018-2020) + FP9 (2021+)
§ National/regional funding sources
q Setup: basic research, applied research, innovation,
commercialisation – tightly intertwined
q Timeframe: at least 10 years
q Policy change towards “LT-enabled multilingualism”
q Public procurement: EU/EC, MS administrations should
demand certain language technologies
25http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Key Ingredients
• Extend knowledge bases
• Semantic Web, ontologies,
linked data, interoperability
• More complex models
• Multilingual resources that
are grounded, extensible
• Subjectivity, objectivity,
further novel dimensions
• Web-scale reasoning
• Combine DNNs and
symbolic processing
• ML for knowledge
acquisition and extension
• DNNs embedded into
modular systems including
symbolic knowledge bases
• Make it possible to inspect
and also to optimise DNNs
(beyond end-to-end)
• (Computational) Linguistics
research towards deep
language understanding
• From corpora to DNNs to
annotated data to highly
improved symbolic methods
• Language portability
• Full and Deep Language
Understanding by 2030 –
Human Language Project
Artificial Intelligence
Including cognition, perception, vision, cross-modal,
cross-platform, cross-culture, Internet of Things etc.
Machine Learning
Language TechnologiesKnowledge Technologies
HLP: Selected Topics
q High-Quality MT – overcome quality (and language) barriers,
written and spoken, collaborate closely with human translators
q Content Curation and Smart Online Content
§ Increasing commercial and social relevance of content (“fake news”)
§ Include: domain, text type, style, register, discourse, social etc.
§ Type-specific, genre-specific analysis, assessment, generation
q Multilingual European Knowledge Graph that consolidates
existing and emerging data (for crosslingual search, BI etc.)
q Conversational interfaces, especially for IoT, WoT, Industrie 4.0
q Multilingual Europe: LRs and LTs for all European languages
§ Include Member States – make it coordinated, shared, focused
§ Set of basic tools as open source and SaaS (free of charge)
§ Goal: boost the LT ecosystem and MDSM
27http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Human
Language
Project
Truly
Multilingual
Europe
Establish
the MDSM
Attractive
jobs for
high
potentials
Education
and young
researchers
Massive
boost for
research
Foster
innovation
and new
companies
28
Conclusions
q The Human Language Project is an opportunity for
Europe to invest in a promising and sustainable field
q A topic that Europe can shape and claim as its own
q Investing into the HLP would solve the threat of
Digital Language Extinction
q Investing into the HLP would make the DSM multilingual
q Investing into the HLP would secure Europe’s place in
the pole position in this field for many years to come
29http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Next Steps
q The current SRIA is version 1.0 beta
q At META-FORUM 2017 we collect a final round of
feedback and input
q We will consolidate all feedback and input afterwards
and publish the final SRIA 1.0 in December 2017
q Important and relevant: the situation and discussion in
the EP regarding the planned own-ini study
q Crucial goal for 2018: influence the discussion of the
key pillars of FP9
30http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
Thank you!
office@meta-net.eu
http://www.meta-net.eu
http://www.facebook.com/META.Alliance
31

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Language Technologies for Multilingual Europe - Towards a Human Language Project. Strategic Research and Innovation Agenda (Version 1.0)

  • 1. META-NET has received funding from the EU’s Horizon 2020 research and innovation programme through the contract CRACKER (grant agreement no.: 645357). Formerly co-funded by FP7 and ICT PSP through the contracts T4ME (grant agreement no.: 249119), CESAR (grant agreement no.: 271022), METANET4U (grant agreement no.: 270893) and META-NORD (grant agreement no.: 270899). Georg Rehm DFKI, Germany georg.rehm@dfki.de META-FORUM 2017 Brussels, Belgium – November 13/14, 2017 – Strategic Research and Innovation Agenda (V1.0) – Language Technologies for Multilingual Europe. Towards a Human Language Project
  • 2. Outline q History – a brief look back q SRIA Version 1.0 and the Human Language Project q Survey “Language Technologies for Multilingual Europe” q Conclusions http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 2
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  • 4. q Published in early 2013. q First strategic research agenda for our field. q Complex process of collecting and shaping technology visions. q Hundreds of researchers participated. q Broad topics around Multilingual Europe in general.
  • 5. History q SRIA V0.5 presented at META- FORUM 2015 and Riga Summit. q Built upon strategy papers and roadmaps prepared by several European projects, incl. the META- NET SRA (2013). D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT Strategic Agenda for the Multilingual Digital Single Market Technologies for Overcoming Language Barriers towards a truly integrated European Online Market D RAFT Version 0.5 – April 22, 2015
  • 6. History q SRIA V0.9 unveiled at META-FORUM 2016 q Prepared, presented and endorsed by the Cracking the Language Barrier federation (editorial team). q Explains how the LT community is going to make the DSM multilingual. Strategic Research and Innovation Agenda Language as a Data Type and Key Challenge for Big Data Enabling the Multilingual Digital Single Market through technologies for translating, analysing, processing and curating natural language content SRIA Editorial Team Version 0.9 – July 2016 D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT D RAFT Strategic Agenda for the Multilingual Digital Single Market Technologies for Overcoming Language Barriers towards a truly integrated European Online Market D RAFT Version 0.5 – April 22, 2015
  • 7. Application Areas in V0.9 q Multilingual E-commerce § Customer-facing vs. back-office facing (after-market, after-sales) § Crosslingual search, CRM, helpdesks, processes, workflows § Semantic, crosslingual product descriptions and catalogues § Online dispute resolution q Multilingual Content, Media, Verticals § Content analytics, curation, generation (incl. authoring support) § Multimodal communication (speech, written, IoT) § Vertical domains: health, government, mobility, energy, legal. q Translation, Language, Knowledge, Data § Translation Centre – written/spoken, automatic/human § Crosslingual public and social intelligence, business intelligence § HQ resources, under-resourced languages, domain-specific LRs http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 7
  • 8. • STOA Workshop in European Parliament (January 2017): “Language equality in the digital age – towards a Human Language Project” • Human Language Project vision suggested in several presentations • STOA Study, published in March 2017, recommend setting up the HLP Ø http://www.stoa.europarl.europa.eu/stoa/cms/home/workshops/language STUDY EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 581.621 Science and Technology Options Assessment 8
  • 9. Current Developments q Multilingual Europe: our languages enjoy equal status yet digital extinction of the majority of EU languages is a very severe danger. q Language Technology Research and Innovation in Europe: World class research results (e.g., in QT21), strong SME base, thousands of LSPs; fragmentation; need for coordination. q Digitisation of our Continent – Big need for HQ Language Technologies: translation, personal assistants, MDSM etc. q Artificial Intelligence: Important breakthroughs and massive investments in R&D and applications (mostly in the US and Asia) – huge opportunity for Europe! q The European Language Challenge cannot be abandoned or outsourced! Ø Need for Language Technology made in Europe for Europe! 9http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 10. SRIA Version 1.0 beta q SRIA V1.0 beta – unveiled today at META-FORUM 2017 q Prepared and presented by Cracking the Language Barrier federation q Extended editorial team q Document available on http://www.cracker-project.eu http://www.cracking-the-language-barrier.eu Strategic Research and Innovation Agenda Language Technologies for Multilingual Europe Towards a Human Language Project SRIA Editorial Team Version 1.0 beta – November 2017
  • 11. SRIA Version 1.0 beta q SRIA 1.0 beta fully endorses and supports the STOA study q Also our key recommendation: set up the Human Language Project q Positive side effect: establish the Multilingual Digital Single Market q SRIA informed by survey “Language Technology for Multilingual Europe” Strategic Research and Innovation Agenda Language Technologies for Multilingual Europe Towards a Human Language Project SRIA Editorial Team Version 1.0 beta – November 2017
  • 12. STOA Study q “Language Equality in the Digital Age – Towards a Human Language Project” q Strongly recommends to initiate the HLP q Five main policy groups, 11 recommendations q Research policies § Refocus and strengthen research in the HLP § European HLP Platform of data and services § Bridge the technology gap between European languages STUDY EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 581.621 Science and Technology Options Assessment http://www.meta-net.eu 12
  • 13. Multilingual Europe Survey q Conducted in May/June 2017 q 29 questions (16 open, 13 m/c) q Three main parts: 1) Background and interests 2) Visions for a large-scale HLP 3) Talent generation/retention q 634 participants from 52 countries q Very high completion rate (27%) q Avg. time to complete: 35,48 mins. q è Respondents are extremely passionate about this topic! http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 13
  • 14. Survey: Demographics q 634 respondents from 52 countries (37 European countries, 27 MS) q High level of seniority (53% have >20 years of experience, 27% >10 years) q Diverse Expertise: Language Technology, Computational Linguistics, Linguistics, Artificial Intelligence, Computer Science q Majority based at universities (63%) q Substantial group of participants (16%) from industry http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 14
  • 15. Survey Results 1/7 q Support for a Human Language Project 97% of all respondents support the idea of a HUMAN LANGUAGE PROJECT 87% of all respondents believe DEEP NATURAL LANGUAGE UNDERSTANDING AND GENERATION BY 2030 to be an adequate scientific challenge and goal http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 15
  • 16. Survey Results 2/7 q Timeframe and Stakeholder Involvement (funding) 24% 35% 35% 7% > 15 years 10- 15 years 5-10 years 5 years http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 16 Stakeholder Votes European Commission 89% Member States 57% Industry 57% Shared  Programme between the  EU  and  the  Member  States!
  • 17. Survey Results 3/7 q Economic Sectors – Impact of Language Technologies, especially in the context of the DSM Sectors to have the highest potential contribution to commercial growth Education 71% Information and Communication Technologies 64% Human Health and Social Work 45% Specific services and applications that could benefit the Multilingual DSM Language Resources and Technologies 73% Translation Services 46% Multilingual Solutions for E-Learning 41% E-Health 38% http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 17
  • 18. Survey Results 4/7 q Key Research Areas mentioned by the respondents Deep Learning, Natural Language Understanding Data and Knowledge Repositories NLP Applications Machine Translation Speech Open Source Platforms Conversational Interfaces and Agents Multimodal Human Machine Interaction http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 18
  • 19. Survey Results 5/7 q Applications Machine Translation Download services for multilingual resources including ontologies, lexicons, dictionaries etc. More in-depth development of NLP tools is encouraged, especially speech applications Other applications include IE and IR, summarisation, search systems and intelligent assistants http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 19
  • 20. Survey Results 6/7 q European LT Data and Service Platform Importance of easy accessibility and open licensing for available tools and data including commonly agreed upon exchange formats and standards (30%) Involvement of all stakeholders, i.e., data providers, LT providers and LT consumers (11%) Unified, high-level, transparent and user-friendly approach with common goals (11%) http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 20
  • 21. Survey Results 7/7 q Talent Generation and Retention Closer collaboration between academia and industry (e.g., through job fairs, hackathons etc.) 74% Reorganisation of university curriculums 62% Fostering a more enterpreneurial culture (e.g., through specialised course modules, accelerator programmes etc.) 43% http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project 21
  • 22. Human Language Project q Large-scale EU funding programme – 10-15 years q Goal: Deep Natural Language Understanding by 2030 q Artificial Intelligence for Next Generation Language Technology! q New breakthroughs and groundbreaking results for industry, society, innovation, economy (multilingual digital single market). 22 Artificial Intelligence Including cognition, perception, vision, cross-modal, cross-platform, cross-culture, Internet of Things etc. Machine Learning Language TechnologiesKnowledge Technologies http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 23. Human Language Project – Interdisciplinary R&D&I Programme Basic Research •Results in new methods, approaches Applied R&D •Results in novel technologies Innovation •Results in novel or improved products or services Research Themes – Needs and Gaps (market-driven) • Computational Linguistics • Artificial Intelligence • Language Technology • Linguistics • Computer Science • Cognitive Science • other related fields • New, groundbreaking methods, paradigms, approaches • Foster technologies, products, innovation, economy • Foster education HLP: Umbrella programme to turbo-charge and to coordinate all European R&D&I activities in a systematic way including EP, EC, Member States. 23
  • 24. Human Language Project q Goal: Deep Natural Language Understanding q Breakthroughs in Artificial Intelligence plus a fresh look at Linguistics for the Next Generation of LT! q All official European and many additional languages q Broad coverage, high quality, high precision q Create approaches, algorithms, data sets, resources q Across modalities: text, text types, speech, image, video etc. q Across platforms: messaging, telephony, social, mobile, IoT etc. q Across cultures: knowledge, customs, formalities, humour, emotion, subjectivity, biases, opinions, filter bubble etc. 24http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 25. Human Language Project q Collaboration and coordination between EC, EP, Member States and all other stakeholders. q Mix of funding sources: § EU projects: Horizon 2020 (WP 2018-2020) + FP9 (2021+) § National/regional funding sources q Setup: basic research, applied research, innovation, commercialisation – tightly intertwined q Timeframe: at least 10 years q Policy change towards “LT-enabled multilingualism” q Public procurement: EU/EC, MS administrations should demand certain language technologies 25http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 26. Key Ingredients • Extend knowledge bases • Semantic Web, ontologies, linked data, interoperability • More complex models • Multilingual resources that are grounded, extensible • Subjectivity, objectivity, further novel dimensions • Web-scale reasoning • Combine DNNs and symbolic processing • ML for knowledge acquisition and extension • DNNs embedded into modular systems including symbolic knowledge bases • Make it possible to inspect and also to optimise DNNs (beyond end-to-end) • (Computational) Linguistics research towards deep language understanding • From corpora to DNNs to annotated data to highly improved symbolic methods • Language portability • Full and Deep Language Understanding by 2030 – Human Language Project Artificial Intelligence Including cognition, perception, vision, cross-modal, cross-platform, cross-culture, Internet of Things etc. Machine Learning Language TechnologiesKnowledge Technologies
  • 27. HLP: Selected Topics q High-Quality MT – overcome quality (and language) barriers, written and spoken, collaborate closely with human translators q Content Curation and Smart Online Content § Increasing commercial and social relevance of content (“fake news”) § Include: domain, text type, style, register, discourse, social etc. § Type-specific, genre-specific analysis, assessment, generation q Multilingual European Knowledge Graph that consolidates existing and emerging data (for crosslingual search, BI etc.) q Conversational interfaces, especially for IoT, WoT, Industrie 4.0 q Multilingual Europe: LRs and LTs for all European languages § Include Member States – make it coordinated, shared, focused § Set of basic tools as open source and SaaS (free of charge) § Goal: boost the LT ecosystem and MDSM 27http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 28. Human Language Project Truly Multilingual Europe Establish the MDSM Attractive jobs for high potentials Education and young researchers Massive boost for research Foster innovation and new companies 28
  • 29. Conclusions q The Human Language Project is an opportunity for Europe to invest in a promising and sustainable field q A topic that Europe can shape and claim as its own q Investing into the HLP would solve the threat of Digital Language Extinction q Investing into the HLP would make the DSM multilingual q Investing into the HLP would secure Europe’s place in the pole position in this field for many years to come 29http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project
  • 30. Next Steps q The current SRIA is version 1.0 beta q At META-FORUM 2017 we collect a final round of feedback and input q We will consolidate all feedback and input afterwards and publish the final SRIA 1.0 in December 2017 q Important and relevant: the situation and discussion in the EP regarding the planned own-ini study q Crucial goal for 2018: influence the discussion of the key pillars of FP9 30http://www.meta-net.eu SRIA V1.0 beta – Towards a Human Language Project