Computational Dialectology

Heeringa, Wilbert; Prokić, Jelena

doi:10.1002/9781118827628.ch19

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Gabmap can contribute to the ongoing discussion on the procedures for the quantitative processing of draw-a-map data. Among the other statistical techniques that were selected to answer our research question, the nonlinear spline models provide a first assessment of the role of information entropy in the analysis of dialect perceptual distances (Heeringa & Prokić, 2018).…”

Section: Discussionmentioning

confidence: 99%

Quantifying folk perceptions of dialect boundaries. A case study from Tuscany (Italy)

Calamai

Piccardi

Nodari

2022

J. of Ling. Geography

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This paper aims to understand the contribution of geographical information in the perception of linguistic variation. A total of 813 mental maps collected among young speakers from different cities in Tuscany have been analyzed via an open-access web dialectometric tool (Gabmap). In particular, the study seeks to verify the role of geographic distance and the place of residence of the respondents in modeling perceived variation. The relationship between dialect grouping as made by linguists and perceived taxonomies of sublinguistic areas is also investigated. Results show that geographical proximity between mapped areas significantly predicts the perception of dialect similarity. Our participants made their decisions looking at (1) a keen sense of spatial contiguity, and (2) the synchronic presence of linguistic differences between the Tuscan subregions. Moreover, classification uncertainty grows when the mapped areas are very close to, or very distant from, the participants’ places of residence. Methodological and linguistic perspectives of mental maps in folk linguistics are finally discussed.

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Section: Discussionmentioning

confidence: 99%

Quantifying folk perceptions of dialect boundaries. A case study from Tuscany (Italy)

Calamai

Piccardi

Nodari

2022

J. of Ling. Geography

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“…The second method in philology is dialectology, the analysis of form or meaning of the word variations concerning dialect variations, which may produce evidence about its previous history. The structure of dialectology has developed into a variety of aspects, starting from structural (Gordon, 2018), focusing on the old phonological aspect, perceptual (Cramer, 2021;Preston, 2018), folk (Albury, 2017), data-driven and spatial statistics (Dubert & Sousa, 2016;Grieve, 2018), computational dialectology (Heeringa & Prokić, 2018;Inoue, 2019), and historical dialectology (Heuberger, The Acehnese Loanwords and .... (Saiful Akmal, et al) 2016; Magidow, 2021;Versloot, 2020).…”

Section: Introductionmentioning

confidence: 99%

Acehnese Loanwords and Contact with Other World's Languages

et al. 2023

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The research aimed to uncover some Acehnese loanwords’ etymological and historical roots, which may help unravel the relationships between the world’s languages. The method applied in the research was the word-etymology model or lexical etymology to trace the word’s origins in historical linguistics. In addition, the systematic comparison with other related languages and semantic change typology were also exercised for the purpose of analysis. The data consisted of some selected Acehnese loanwords from the phone interviews with the participants selected purposively in different districts in Aceh. The findings reveal that the Acehnese language is etymologically categorized as part of the Austronesian language (Chamic and Malay), Arabic Afro-Asiatic language, Sanskrit (Bengali, Urdu, Gujarat), English, and Indo-European. The research attests that Acehnese loanwords may also be influenced by cross-language loanwords and borrowings simultaneously, such as Arabic from the Afro-Asiatic language family, Dutch or German, and English from the Indo-European language.

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A dialectometric approach to inner Asia Minor Greek: Comparisons and associations between linguistic levels

Bompolas

Melissaropoulou

2023

Digital Scholarship in the Humanities

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Even though dialectometric approaches have significantly contributed to the development of dialectology in the last few decades, no relevant analyses have ever been performed on Modern Greek dialects. This article attempts to fill this gap by using dialectometric techniques to measure the degrees of association between aggregate morphological, phonological, and syntactic differences in nineteen varieties of inner Asia Minor Greek (i.e. of Cappadocian, Pharasiot, and Silliot). Our methods include correlations (between pairs of linguistic levels and between linguistic levels and geography) as well as multidimensional scaling and cluster analysis (of the whole dataset as well as of the linguistic levels), which allow us, on the one hand, to draw conclusions about the associations of linguistic levels and the distributions of dialects and, on the other hand, to directly compare our results to those coming from previous dialectometric studies and Greek dialectology. Results show that, although the complete dataset, phonology, and morphology yield—in some instances—similar patterns (i.e. high correlations between them as well as with geography, high agreement of dialect classifications), the level of syntax deviates the most, which is interpreted as a tendency to form larger dialect areas. Our findings are consistent with patterns found in earlier large-scale studies in dialectometry, but they only partially confirm the classifications of Greek dialectology.

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Computational Dialectology

Cited by 3 publications

References 30 publications

Quantifying folk perceptions of dialect boundaries. A case study from Tuscany (Italy)

Quantifying folk perceptions of dialect boundaries. A case study from Tuscany (Italy)

Acehnese Loanwords and Contact with Other World's Languages

A dialectometric approach to inner Asia Minor Greek: Comparisons and associations between linguistic levels

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