AI RESEARCH
Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation Strategies
arXiv CS.CL
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ArXi:2603.15295v1 Announce Type: new Large language models (LLMs) have shown remarkable performance across various sentence-based linguistic phenomena, yet their ability to capture cross-sentence paradigmatic patterns, such as verb alternations, remains underexplored. In this work, we present curated paradigm-based datasets for four languages, designed to probe systematic cross-sentence knowledge of verb alternations (change-of-state and object-drop constructions in English, German and Italian, and Hebrew binyanim.