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This paper evaluates Wiktionary as an ethically crowdsourced lexicon for English dialects, demonstrating its coverage compared to traditional dictionaries and its performance with geo-referenced social media data.
This paper introduces DiaLLM, a framework for adapting LLMs to English dialects, revealing a gap between dialectal robustness (understanding) and generation (producing dialectal text), and showing that explicit variety-targeted alignment improves generation but not necessarily human preference.