The results reported in this paper aim to increase the presence of the Uzbek language in the
Internet and its usability within IT applications. We describe the initial development of a …

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

Large-scale morphological databases provide essential input to a wide range of NLP
applications. Inflectional data is of particular importance for morphologically rich …

According to the" human in the loop" paradigm, machine learning algorithms can improve
when leveraging on human intelligence, usually in the form of labels or annotation from …

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 …

This paper introduces CogNet, a new, large-scale lexical database that provides cognates—
words of common origin and meaning—across languages. The database currently contains …

We present a large scale multilingual lexical resource, the Universal Knowledge Core
(UKC), which is organized like a Wordnet with, however, a major design difference. In the …

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 …

Semantic Heterogeneity is the problem which arises when multiple resources present
differences in how they represent the same real world phenomenon. In KR, an early …