SciTransfer
Organization

K DICTIONARIES LTD

Israeli SME providing professional multilingual dictionary data and lexicographic expertise to EU language technology and legal knowledge infrastructure projects.

Technology SMEdigitalILSMENo active H2020 projects
H2020 projects
2
As coordinator
0
Total EC funding
€373K
Unique partners
28
What they do

Their core work

K Dictionaries is a professional lexicography company based in Tel Aviv that creates and licenses structured dictionary databases and multilingual language resources. Their core product is high-quality lexical data — bilingual and multilingual dictionaries covering general language, domain-specific terminology, and lesser-resourced languages. In EU research projects, they serve as a specialist data provider, contributing curated lexicographic content and expertise to computational linguistics infrastructure and legal knowledge systems. They sit at the intersection of commercial dictionary publishing and academic language technology, making them an unusual bridge between proprietary language assets and open research infrastructure.

Core expertise

What they specialise in

Lexicography and dictionary dataprimary
2 projects

Central to both ELEXIS (European Lexicographic Infrastructure) and Lynx (multilingual legal knowledge graph), contributing structured lexical resources in both cases.

Multilingual and lesser-resourced language coverageprimary
1 project

ELEXIS explicitly lists lesser-resourced languages among its core keywords, an area where commercial dictionary publishers like K Dictionaries hold rare data assets.

Computational linguistics and NLP datasecondary
2 projects

Both projects required machine-readable, semantically structured lexical data; ELEXIS keywords include computational linguistics and AI, confirming K Dictionaries' role beyond print-style content.

Legal and domain-specific terminologysecondary
1 project

Lynx aimed to build a Legal Knowledge Graph for smart compliance services across multilingual Europe, requiring precise domain terminology that commercial lexicographers are well-placed to supply.

Linked data and semantic web for language resourcesemerging
1 project

ELEXIS keywords include linked (open) data and semantic web, indicating K Dictionaries engaged with structured, interoperable data formats beyond traditional dictionary publishing.

Evolution & trajectory

How they've shifted over time

Early focus
Multilingual legal terminology
Recent focus
Open lexicographic infrastructure

With only two overlapping projects (2017–2022), a detailed evolution is difficult to trace, but the trajectory is readable. The Lynx project (from 2017) placed K Dictionaries inside applied language technology — supplying multilingual terminology for a legal compliance system — without surfacing explicit NLP or semantic web keywords. The ELEXIS project (from 2018) marks a clear shift toward foundational language infrastructure: keywords like linked open data, semantic web, computational linguistics, and lesser-resourced languages signal that K Dictionaries moved from being a terminology supplier to an active participant in building open, machine-readable lexicographic standards. The direction is from applied commercial content toward open research infrastructure for language data.

K Dictionaries appears to be repositioning its commercial dictionary assets toward open, interoperable language data standards — making them a candidate partner for any project needing high-quality lexical resources in linked data or NLP-ready formats.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

K Dictionaries has participated in EU projects exclusively as a partner, never as coordinator, which fits the profile of a specialist content provider rather than a project manager. Their two projects involved large, geographically diverse consortia (28 partners across 15 countries), suggesting they are comfortable operating as one contributor among many rather than driving the agenda. This means working with them is straightforward — they bring a defined asset (lexical data, terminology expertise) and do not compete for leadership roles.

K Dictionaries has built connections with 28 partners across 15 countries, a notably wide network for a two-project SME, which reflects the pan-European consortia typical of language infrastructure projects. Their Israeli base makes them one of the few non-EU partners in European lexicographic research, which is itself a differentiator for consortia needing a non-EU perspective or Middle Eastern language coverage.

Why partner with them

What sets them apart

K Dictionaries occupies a rare niche as one of the only commercial dictionary publishers with active EU research project credentials — most lexicographic partners in H2020 are universities or national language institutes. Their commercial origin means they hold proprietary, production-grade language data that academic partners typically cannot match in breadth or editorial quality. For a consortium that needs real lexicographic content rather than just NLP methodology, K Dictionaries is a direct-access route to that asset.

Notable projects

Highlights from their portfolio

  • ELEXIS
    The flagship EU lexicographic infrastructure project linking 20+ national dictionary institutions across Europe — K Dictionaries' participation confirms their standing as a peer-level contributor alongside major national language institutes.
  • Lynx
    Demonstrates K Dictionaries' ability to apply lexicographic expertise in a high-value commercial domain (legal compliance), not just academic language research.
Cross-sector capabilities
Legal tech and compliance (multilingual legal terminology)Society and culture (language preservation, lesser-resourced languages)Research infrastructure (open language data standards and interoperability)
Analysis note: Only 2 projects with overlapping timelines limit the depth of evolution analysis. The early-period keywords are empty in the computed data (both projects technically fall in the same period), so the early/recent split is inferred from project themes rather than keyword data. Profile is reliable for sector and role characterisation but should be treated as indicative for expertise evolution claims.