The CLARIAH-PLUS board assigns great importance to the use of CLARIAH not only by researchers but also outside of the research domain, so that it can have societal or commercial impact.
This is important for the optimal use of tax money, but it also contributes to the long-term sustainability of the CLARIAH infrastructure. In addition, it is one of the Key Performance Indicators (KPI) formulated by ESFRI to Landmark infrastructures such as CLARIN and DARIAH. The Netherlands wants to contribute, through CLARIAH, to good scores on this KPI.
CLARIAH therefore aims to take maximal advantage of its potential as a centre for innovation. CLARIAH can make agreements with commercial companies and societal partners for the use of the CLARIAH infrastructure. CLARIAH wants to point out to social partners that such opportunities are available and explore the potential with them.
The CLARIAH-PLUS board provides resources to stimulate activities that increase CLARIAH’s social and / or commercial impact. Any researcher within the Netherlands can apply for this. It concerns small exploratory projects that may conduct preliminary research to arrive at a larger externally funded project. Conditions for such projects or activities are:
- They promote the social and / or commercial impact of CLARIAH and thus address social and / or commercial themes or problems.
- They are consistent with themes and research questions from the humanities, and in particular with core themes and disciplines of CLARIAH-PLUS.
- The theme is in line with themes from the Top Sectors, the National Science Agenda, the Open Science movement, or sector plans of the Ministry of Education, Culture and Science.
- There is co-financing from a social partner, for at least half of the budget, as in-kind or as in-cash.
- If a contribution from CLARIAH-PLUS is also required, the maximum contribution per application is € 10K.
- A researcher or research group active in CLARIAH-PLUS makes an active contribution to the project
The total budget in CLARIAH-PLUS for this policy is € 70K.
Call for Proposals
- The second call (2020) was open from June 16, 2020.
- The submission deadline was October 4, 2020.
- Three proposals were submitted, two of them were accepted: ASR4RESP and XXX.
- The first call (2019) was open from August 19, 2019.
- The submission deadline was October 1, 2019.
- Two proposals were submitted, one of which (SASTA) was accepted.
|Duration||November 2020 - November 2021|
|PI||drs. Janna de Boer, MD, UMC Utrecht|
The efficacy of speech language analysis in psychiatry is widely studied, as speech is an important source of information on a person's state of health. In addition, many psychiatric disorders are characterised by (mild) language and/or speech disorders. To date, such analyses have been very labour-intensive, as all conversations are transcribed manually.
This project aims to use CLARIAH's automatic speech recognition (ASR) to analyse whether speech from patients with a psychiatric disorder can also be accurately and automatically recognised. At present, it is not yet clear whether the speech of people with a language and/or speech disorder can be recognised accurately enough to be used for clinical purposes such as diagnostics or prognosis.
|Duration||November 2020 - November 2021|
|PI||dr. Catia Cucchiarini, Radboud University Nijmegen|
Evaluating speaking proficiency in primary school is challenging as teachers have to judge many aspects (content and grammar) in one go. As a possible solution, CitoLab developed Beeldverhaal, an app that asks pupils to tell a story based on four pictures.
Through Automatic Speech Recognition the story is then converted into text, so that teachers can analyze the written text multiple times on multiple levels to judge the pupil’s level of speaking proficiency.
Since ASR of child speech is still problematic, the present project will try to improve its quality to make it suitable for educational applications like Beeldverhaal.
|Duration||September 2019- September 2020|
|PI||prof. dr. Jan Odijk, Utrecht University|
|Funders||Vereniging voor Klinische Linguïstiek, Stichting Taaltechnologie, CLARIAH|
Clinical linguists would like to use the analysis of spontaneous language sessions with patients to diagnose language deficits or abnormalities (e.g. aphasia). Until now, the analysis of such sessions has been done entirely by hand. This is very labor-intensive and is therefore often not done or only partially done.
Together with the Dutch Association for Clinical Linguistics (VKL), Utrecht University is investigating whether this process can be partially automated in order to make this process more efficient. To this end, a research prototype of a new application (SASTA) is being developed that is suitable for the semi-automatic assessment of language development in accordance with different assessment methods.
This new application:
- reuses GRETEL4 modules (namely the Alpino automatic parser and GrETEL’s query system);
- adds new modules for aspects not covered by Alpino (e.g. for compounds, certain colloquial forms and various kinds of deviant language).
SASTA uses specifications formulated as a set queries that implement language assessment methods such as TARSP, STAP and ASTA..