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Lexical diversity, the amount of lexical variation shown by a particular concept, varies between concepts. For the concept drunk, for instance, nearly 3000 English expressions exist, including blitzed, intoxicated, and hammered. For the concept sober, however, a significantly smaller number of lexical items is available, like sober or abstinent. While earlier variation studies have revealed that meaning-related concept characteristics correlate with the amount of lexical variation, these studies were limited in scope, being restricted to one semantic field and to one dialect area, that of the Limburgish dialects of Dutch. In this paper, we investigate whether the impact of concept characteristics, viz. vagueness, lack of salience and proneness to affect, is manifest in a similar way in other dialects and other semantic fields. In particular, by extending the scope of the earlier studies to other carefully selected semantic fields, we investigate the generalizability of the impact of concept characteristics to the lexicon as a whole. The quantitative approach that we employ to measure concept characteristics and lexical diversity methodologically advances the study of linguistic variation. Theoretically, this paper contributes to the further development of Cognitive Sociolinguistics by showcasing how meaning can be a source of lexical diversity. [ABSTRACT FROM AUTHOR]

This paper develops a construction-based dialectometry capable of identifying previously unknown constructions and measuring the degree to which a given construction is subject to regional variation. The central idea is to learn a grammar of constructions (a CxG) using construction grammar induction and then to use these constructions as features for dialectometry. This offers a method for measuring the aggregate similarity between regional CxGs without limiting in advance the set of constructions subject to variation. The learned CxG is evaluated on how well it describes held-out test corpora while dialectometry is evaluated on how well it can model regional varieties of English. Themethod is tested using two distinct datasets: First, the International Corpus of English representing eight outer circle varieties; Second, a web-crawled corpus representing five inner circle varieties. Results show that themethod (1) produces a grammar with stable quality across sub-sets of a single corpus that is (2) capable of distinguishing between regional varieties of Englishwith a high degree of accuracy, thus (3) supporting dialectometricmethods formeasuring the similarity between varieties of English and (4) measuring the degree to which each construction is subject to regional variation. This is important for cognitive sociolinguistics because it operationalizes the idea that competition between constructions is organized at the functional level so that dialectometry needs to represent as much of the available functional space as possible. [ABSTRACT FROM AUTHOR]