AI RESEARCH
Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking
arXiv CS.CL
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ArXi:2602.17653v2 Announce Type: replace Recent work has shown that language models (LMs) trained on synthetic corpora can exhibit typological preferences that resemble cross-linguistic regularities in human languages, particularly for syntactic phenomena such as word order. In this paper, we extend this paradigm to differential argument marking (DAM), a semantic licensing system in which morphological marking depends on semantic prominence.