Problem
Research questions and friction points this paper is trying to address.
Wiktionary
English dialects
crowdsourced lexicon
language resources evaluation
Wiktionary as a Crowdsourced Lexicon for English Dialects
🤖 AI Summary
This study evaluates the ethical implications and empirical validity of Wiktionary as a crowdsourced resource for English dialectology. Employing a two-stage analytical framework that integrates georeferenced social media corpus validation with lexical coverage comparisons, the research systematically assesses its real-world performance. Results demonstrate that Wiktionary matches or surpasses the Oxford English Dictionary in regional variant coverage, exhibiting a 0.883 correlation with New Zealand English word-formation patterns and confirming strong alignment with authentic usage data. Beyond establishing the advantages of crowdsourced lexicography for dialect documentation, this work elucidates macro-level methodological challenges inherent in evaluating such resources, thereby proposing a novel paradigm for digital lexicography.
📝 Abstract
This paper evaluates Wiktionary as an ethically crowdsourced lexicon for English dialects. We took a two-phase approach, providing an in-depth descriptive analysis of the crowdsourced lexicon for 12 national varieties of English before applying the lexicon to geo-referenced, country-level social media language data to examine the real-world performance of this crowdsourced dialect lexicon. We demonstrate that Wiktionary matches or exceeds the coverage of traditional dictionaries, such as the Oxford English Dictionary (OED), for regional and Outer-Circle varieties. Our dialect-specific case study on New Zealand English found high alignment between Wiktionary and the OED based on word-formation patterns (R = 0.883). Similarly, we observed high alignment between the dialect lexicon and geo-referenced social media language. While this paper found that Wiktionary has broad coverage of lexical properties, it also highlighted some of the macro-challenges involved in evaluating dialect-responsive language resources and tools, such as the role of language contact in dialects and register effects in web-based corpora.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Crowdsourced Lexicon
English Dialects
Wiktionary
Social Media Validation
Lexical Coverage
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