Languages are known to describe the world in diverse ways. Across lexicons, diversity is
pervasive, appearing through phenomena such as lexical gaps and untranslatability …

We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—
words of common origin and meaning across languages. CogNet is continuously evolving …

In today's multilingual lexical databases, the majority of the world's languages are under-
represented. Beyond a mere issue of resource incompleteness, we show that existing lexical …

It is well known that AI-based language technology--large language models, machine
translation systems, multilingual dictionaries, and corpora--is currently limited to 2 to 3 …

The Universal Knowledge Core (UKC) is a large multilingual lexical database with a focus
on language diversity and covering over a thousand languages. The aim of the database, as …

It is well known that AI-based language technology—large language models, machine
translation systems, multilingual dictionaries, and corpora—is currently limited to three …

This paper describes a method to enrich lexical resources with content relating to linguistic
diversity, based on knowledge from the field of lexical typology. We capture the …

It is a well-known fact that current AI-based language technology--language models,
machine translation systems, multilingual dictionaries and corpora--focuses on the world's 2 …

Current AI-based language technologies—language models, machine translation systems,
multilingual dictionaries and corpora—are known to focus on the world's 2–3% most widely …

Traditional bilingual dictionaries, once pivotal translation tools, have been superseded on
the Web by multilingual lexical databases that interconnect the lexicons of hundreds of …