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cs.CL2025
MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
Andrei-Marius Avram, Ema-Ioana Bănescu, Anda-Teodora Robea +2
This paper introduces MoRoVoc, the largest dataset for analyzing the regional variation of spoken Romanian. It has more than 93 hours of audio and 88,192 audio samples, balanced be…
cs.CL2025
UniBERT: Adversarial Training for Language-Universal Representations
Andrei-Marius Avram, Marian Lupaşcu, Dumitru-Clementin Cercel +2
This paper presents UniBERT, a compact multilingual language model that uses an innovative training framework that integrates three components: masked language modeling, adversaria…