SciTransfer
Organization

STICHTING INSTITUUT VOOR DE NEDERLANDSE TAAL

Dutch national language institute specialising in computational lexicography, language resources, and sign language translation technology.

Research institutedigitalNLNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€734K
Unique partners
33
What they do

Their core work

The Institute for the Dutch Language (INL) is the Netherlands' national research institute dedicated to Dutch language documentation, lexicography, and language technology. They build and maintain large-scale digital language resources — dictionaries, corpora, and lexical databases — and apply computational linguistics methods to make those resources machine-readable and interoperable. In H2020, they contributed specialist lexicographic expertise to pan-European dictionary infrastructure (ELEXIS) and brought their natural language processing capabilities into the accessibility domain by supporting sign language recognition and translation systems (SignON). Their core value in any consortium is deep, institutionally maintained expertise in structured language data combined with practical experience in language-AI applications.

Core expertise

What they specialise in

Computational lexicography and digital dictionariesprimary
1 project

ELEXIS (2018–2022) placed INL as a key contributor to the European Lexicographic Infrastructure, connecting national dictionary resources through linked open data and semantic web standards.

Language resources and linked open dataprimary
1 project

ELEXIS work required deep expertise in structuring lexical data as linked open data, enabling interoperability across lesser-resourced European languages.

Sign language recognition and translation technologyemerging
1 project

SignON (2021–2023) extended INL's language expertise into sign language recognition, automatic speech recognition, and avatar-based translation for a mobile communications framework.

Natural language processing and AI for languagesecondary
2 projects

Both ELEXIS and SignON required applied AI methods — from AI-assisted lexicography in ELEXIS to speech and gesture recognition in SignON.

Lesser-resourced and minority language supportsecondary
1 project

ELEXIS explicitly targeted lesser-resourced languages, an area where INL's experience with Dutch — a mid-sized European language — provides relevant methodological insight.

Evolution & trajectory

How they've shifted over time

Early focus
Digital lexicography and language resources
Recent focus
Sign language translation and accessibility tech

In their earlier H2020 work (2018–2021), INL focused squarely on language infrastructure: building interoperable lexicographic resources, connecting dictionary data through semantic web standards, and addressing the needs of lesser-resourced European languages. Their more recent project (2021–2023) marks a clear shift toward applied language technology for real-world accessibility — sign language translation, automatic speech recognition, avatar rendering, and user-centred design for a mobile app. This evolution suggests INL is moving from being a custodian of language data toward being an active developer of language-powered applications, particularly where their linguistic expertise can serve underserved communication communities.

INL is broadening from language resource maintenance into applied language AI for accessibility, suggesting future collaborations in assistive technology, human-computer interaction, and multilingual communication tools are a natural fit.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European17 countries collaborated

INL participates exclusively as a consortium partner — they have not led any H2020 project — which reflects their specialist role: they bring domain expertise rather than project management capacity. Their participation in ELEXIS, a large pan-European infrastructure project, shows comfort working within complex multi-partner consortia. Consortium builders should expect INL to deliver a focused, well-defined contribution (language data, NLP methods, lexicographic standards) rather than broad coordination responsibilities.

Across two projects, INL has engaged with 33 unique consortium partners spanning 17 countries, a notably broad reach for just two projects, reflecting the pan-European character of language infrastructure and accessibility initiatives they joined. Their network skews toward research institutions and universities across Western and Central Europe.

Why partner with them

What sets them apart

INL occupies a rare institutional position as the national Dutch language authority with both deep philological tradition and active computational linguistics capabilities — a combination few private or university-based partners can replicate. Their lexicographic resources are not reproducible by a project team from scratch; they represent decades of curated, institutionally maintained data. For consortia working on European language technology, multilingual NLP, or accessibility for Deaf communities in Dutch-speaking regions, INL offers credibility, unique datasets, and linguistic precision that generic NLP labs cannot match.

Notable projects

Highlights from their portfolio

  • ELEXIS
    Largest of their two projects at EUR 470,220 and their most defining role — contributing to a pan-European lexicographic infrastructure that connects national dictionary resources across multiple languages using linked open data.
  • SignON
    Represents a striking pivot into accessibility technology — sign language translation and avatar-driven communication — showing INL's willingness to apply its language expertise in applied AI contexts far beyond traditional lexicography.
Cross-sector capabilities
society (language preservation, minority and lesser-resourced languages)health and accessibility (assistive technology for Deaf and hard-of-hearing communities)research infrastructure (language data standards, interoperable lexical databases)
Analysis note: Profile is based on only two projects spanning 2018–2023. The expertise pattern is coherent and the keyword evolution is meaningful, but the small sample limits confidence in role preferences, partner loyalty patterns, and sector depth. INL's broader institutional work (outside H2020) is likely more extensive than these two projects suggest.