The Language Technology topic is currently gaining momentum in Europe with the possibility of establishing a large-scale research and innovation programme in the near future. For the next planning phase and upcoming discussions with the EU, we would like to ask all members of the European Language Technology Research and Innovation community as well as related areas for their input on several important questions.
We’re giving away one iPad among the first 500 respondents! 

Many thanks in advance for your help!
You're not required to answer all questions, but we encourage you to answer as many as possible. We also welcome you to contact us if you have any questions or concerns.

Georg Rehm – georg.rehm@dfki.de 
Stefanie Hegele – stefanie.hegele@dfki.de
DFKI GmbH, Berlin, Germany 

This survey is supported by the EU project CRACKER (GA no. 645357).
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Part 1: 
Background, research interests and projects

 
Personal details

 
Name and surname

 
How many years of work experience do you have? *


 
What is the name of the organisation you work for?

 
What type of organisation do you work for? *


 
What is your company's estimated annual revenue in Euro?

 
What is the size of the organisation (total number of employees)?


 
What is your main role in the organisation? *


 
What are the day-to-day responsibilities in your role?


 
What are the key research fields, areas and sub-areas, methods and applications you work on?

 
Fields


 
Areas and sub-areas


 
Methods


 
Applications


 
Which languages do you mainly work with in your research or offer in your products or services?

Below we list what we perceive as a key set of languages. You’re invited to include any additional languages in the field “Other”.
 
Languages A-M

Scroll down to see languages N-Z

 
Languages N-Z


 
Which languages would you like to include in your research, products or services in addition – but cannot due to a lack of technologies, tools or resources?

Below we list what we perceive as a key set of languages. You’re invited to include any additional languages in the field “Other”.
 
Languages A-M

Scroll down to see languages N-Z

 
Languages N-Z


 
In which of the following economic sectors do you see high potential for applications, opportunities for commercial growth or promising target markets for your research, products or services?


 
Which of the following Language Technology applications and services for the Multilingual Digital Single Market could be improved through your research?

Background information: The Digital Single Market (DSM) is one of the EU’s current flagship initiatives. It’s expected to generate more than 400 Billion Euros of growth. However, in order to make it truly unified, we need to take the language dimension into account and make the DSM multilingual through sophisticated and innovative language technologies. In order to unlock the Multilingual Digital Single Market (MDSM) a comprehensive roadmap is needed. We’re currently preparing the final version of the MDSM Strategic Research and Innovation Agenda (http://cracking-the-language-barrier.eu/sria) and assessing where current research could help improve potential Language Technology applications and thereby strengthen the MDSM.

 
Where do you see crucial gaps in terms of technologies, tools, or resources, especially with regard to specific languages?

 
What is the biggest challenge the European Language Technology community is currently facing?

 
2. Part:
Visions for a future large-scale European Language Technology Programme

Background information: The recent European Parliament study “Language equality in the digital age – Towards a Human Language Project” recommends, to the European Union, to initiate a large-scale European LT research, development and innovation flagship project/programme, called, in the study, “Human Language Project” (HLP). The HLP is foreseen to be a long-term European collaborative programme between research, innovation, industry, academia, administrations and citizens with the goal of achieving the next scientific breakthroughs for the automatic processing and generation of natural language. In addition to basic research, the HLP is foreseen to include applied research as well as innovation and commercialisation activities.

 
Do you support the idea of setting up a large-scale Human Language Project?

     
 
Are there any specific reasons why you do not support the setting up of a Human Language Project? Please specify if possible.

 
The above mentioned study suggests, in terms of the HLP’s key strategic vision, to concentrate on achieving Deep Natural Language Understanding by 2030. Do you think this is the right vision and an adequate scientific challenge?

     
 
Which strategic vision would you suggest instead?

 
How long do you you think the HLP needs to be so that it can reach the suggested scientific vision and have a significant impact?


 
Let’s assume that we have a comfortably funded Human Language Project with a timespan of ca. 5-15 years. What are, in your opinion, the (up to) five key challenges Europe needs to work in with regard to:

 
Basic research

 
Applied research

 
Innovation

 
Industries/Sectors/Verticals

 
Which are the top three research, technology development, or socio-economic opportunities that you personally envisage the HLP to bring about or to successfully address?

 
Do you have any other additional suggestions or recommendations with regard to the HLP? For example, how it should be organised in terms of priority setting and governance or with regard to strategic guidance?

 
How should the Human Language Project be funded?


 
Let’s assume that one component of the Human Language Project is the development of a European Language Technology Data and Service Platform (for citizens, industry and public administrations), as described, among others, in the above mentioned EP study and the META-NET Strategic Research Agenda for Multilingual Europe 2020 (http://www.meta-net.eu/sra). What are, in your opinion, the five key topics, applications, services that must be included in such a platform?

 
Do you have any additional recommendations regarding the setup of the European Language Technology Data and Service Platform? For example, regarding the collaboration between data providers, LT providers and LT consumers?

 
3. Part:
Talent generation and retention

With regard to Computational Linguistics, AI, Deep Learning and other modern LT approaches, Europe is currently facing a rather significant talent gap, further increased by the fact that many high potentials are being recruited by big technology companies on other continents. Europe’s talent scarcity combined with the human capital flight problem hinder the development of research and industry. Therefore, it is necessary to find incentives to attract and retain talent, both by creating an environment of talent as well as fostering a promising start-up ecosystem.
 
Which technical or soft skills do you personally consider most important for your specific area/projects?

 
How can the skill gap best be addressed?


 
Last but not least...

 
How did you find out about this survey?


 
If you have any additional comments, concerns or suggestions please do not hesitate to share them.

Thank you again for participating in this survey and for sharing your ideas and visions!

Your information is strictly confidential. For the final publication of the results we will anonymize all answers and aggregate all responses. Any private or organisation-based data you chose to provide will not be shared without your permission.

In appreciation of your time, you will receive a complimentary overview of the findings about two months after we have closed the survey system. 

For any further questions, comments or remarks please get in touch.

Georg Rehm – georg.rehm@dfki.de 
Stefanie Hegele – stefanie.hegele@dfki.de
DFKI GmbH, Berlin, Germany 

Finally, we would highly appreciate your help in disseminating this survey!
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