Variation of verbal constructions in Estonian dialects

Uiboaed, Kristel; Hasselblatt, Cornelius; Lindström, Liina; Muischnek, Kadri; Nerbonne, John

doi:10.1093/llc/fqs053

Cited by 16 publications

(12 citation statements)

References 20 publications

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Section: Categorisation Of the Dialect Data -Overlap Analysismentioning

confidence: 96%

Japanese Lexical Variation Explained by Spatial Contact Patterns

Jeszenszky¹,

Hikosaka²,

Imamura³

et al. 2019

Preprint

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In this paper we analyse spatial variation in Japanese dialectal lexicon by assembling a set of methodologies using theories in variationist linguistics and GIScience, and tools used in historical GIS. Based on historical dialect atlas data, we calculate a linguistic distance matrix across survey localities. The linguistic variation expressed through this distance is contrasted with several measurements, based on spatial distance, utilised to estimate language contact potential across Japan, historically and at present. Further, administrative boundaries are tested for their separation effect. Measuring aggregate association within linguistic variation can contrast previous notions of dialect area formation by detecting continua. Depending on local geographies in spatial subsets, great circle distance, travel distance and travel times explain a similar proportion of the variance in linguistic distance despite the limitations of the latter two. While they explain the majority, two further measurements estimating contact have lower explanatory power: least cost paths modelling contact before the industrial revolution, based on DEM and seafaring, and a linguistic influence index based on settlement hierarchy. Historical domain boundaries and present day prefecture boundaries are found to have a statistically significant effect on dialectal variation. However, the interplay of boundaries and distance is yet to be identified. We claim that a similar methodology can address spatial variation in other digital humanities, given a similar spatial and attribute granularity.

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Section: Categorisation Of the Dialect Data -Overlap Analysismentioning

confidence: 96%

Japanese Lexical Variation Explained by Spatial Contact Patterns

Jeszenszky¹,

Hikosaka²,

Imamura³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…A similar approach is present in previous research e.g. Uiboaed et al [83], who used the statistical ordination method correspondence analysis (CA) in dialectology, but for finding associations across localities. Based on the correspondence matrix of variant categories, Figure 6 shows a graph of associations for each variant category with all others, independent of geography, created using the R package qgraph [84].…”

Section: Categorisation Of the Dialect Data -Overlap Analysismentioning

confidence: 96%

Japanese Lexical Variation Explained by Historical Contact Patterns

Jeszenszky¹,

Hikosaka²,

Imamura³

et al. 2019

Preprint

View full text Add to dashboard Cite

We assemble a set of methodologies using theories in variationist linguistic and GIScience, and tools used in historical GIS to analyse spatial variation in Japanese dialectal lexicon. Based on historical dialect atlas data, we calculate a linguistic distance matrix across survey localities. The linguistic variation expressed through this distance is contrasted with several distance based measurements utilised to estimate the potential of language contact across Japan historically and at present. Besides, administrative boundaries are tested for their separation effect. Aggregate association measures within linguistic variation can challenge previous notions of dialect area formation. Depending on local geographies in spatial subsets, great circle distance, travel distance and travel times explain a similar proportion of the variance in dialectal variation despite the limitations of the latter two. While they explain the majority, two further contact estimations have lower explanatory power: least cost paths implemented to model contact before the industrial revolution, based on DEM and seafaring, and a linguistic influence index based on the law of gravity. Historical domain boundaries and present day prefecture boundaries are found to have a substantial effect on dialectal variation. However, the interplay of boundaries and distance is yet to be identified. We claim that a similar methodology can address spatial variation in other digital humanities, given a similar spatial and attribute granularity.

show abstract

“…For a pair of variant categories, we take the number of localities where the variant categories are used concurrently (overlaps) and divide it by the number of localities where only one of the variant categories is used (divergences). A similar approach is present in previous research e.g., Uiboaed et al [84], who used the statistical ordination method correspondence analysis (CA) in dialectology, but for finding associations across localities, rather than dialectal variants.…”

Section: Categorisation Of the Dialect Data: Overlap Analysismentioning

confidence: 98%

Japanese Lexical Variation Explained by Spatial Contact Patterns

Jeszenszky

Hikosaka

Imamura

et al. 2019

IJGI

View full text Add to dashboard Cite

In this paper, we analyse spatial variation in the Japanese dialectal lexicon by assembling a set of methodologies using theories in variationist linguistics and GIScience, and tools used in historical GIS. Based on historical dialect atlas data, we calculate a linguistic distance matrix across survey localities. The linguistic variation expressed through this distance is contrasted with several measurements, based on spatial distance, utilised to estimate language contact potential across Japan, historically and at present. Further, administrative boundaries are tested for their separation effect. Measuring aggregate associations within linguistic variation can contrast previous notions of dialect area formation by detecting continua. Depending on local geographies in spatial subsets, great circle distance, travel distance and travel times explain a similar proportion of the variance in linguistic distance despite the limitations of the latter two. While they explain the majority, two further measurements estimating contact have lower explanatory power: least cost paths, modelling contact before the industrial revolution, based on DEM and sea navigation, and a linguistic influence index based on settlement hierarchy. Historical domain boundaries and present day prefecture boundaries are found to have a statistically significant effect on dialectal variation. However, the interplay of boundaries and distance is yet to be identified. We claim that a similar methodology can address spatial variation in other digital humanities, given a similar spatial and attribute granularity.

show abstract

Variation of verbal constructions in Estonian dialects

Cited by 16 publications

References 20 publications

Japanese Lexical Variation Explained by Spatial Contact Patterns

Japanese Lexical Variation Explained by Spatial Contact Patterns

Japanese Lexical Variation Explained by Historical Contact Patterns

Japanese Lexical Variation Explained by Spatial Contact Patterns

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