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20222024
most citedDiversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice

5 citations · 13 across the 10 of their papers we have counts for

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cs.CL2023★ 1 cited

Lexical Diversity in Kinship Across Languages and Dialects

Hadi Khalilia, Gábor Bella, Abed Alhakim Freihat +2

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

cs.CY2023★ 5 cited

Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice

Paula Helm, Gábor Bella, Gertraud Koch +1

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 p…

cs.CL2023★ 4 cited

Towards Bridging the Digital Language Divide

Gábor Bella, Paula Helm, Gertraud Koch +1

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…

cs.AI2023

Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs

Simone Bocca, Alessio Zamboni, Gabor Bella +5

When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge…

cs.CL2023

Representing Interlingual Meaning in Lexical Databases

Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair +2

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 lexica…