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dc.contributor.advisor Kuebler, Sandra C en_US Sanders, Nathan Clark en_US 2010-12-13T21:01:30Z 2027-08-13T20:01:30Z 2012-03-11T00:40:15Z 2010-12-13T21:01:30Z 2010 en_US
dc.description Thesis (Ph.D.) - Indiana University, Linguistics, 2010 en_US
dc.description.abstract This dissertation establishes the utility and reliability of a statistical distance measure for syntactic dialectometry, expanding dialectometry's methods to include syntax as well as phonology and the lexicon. It establishes the measure's reliability by comparing its results to those of dialectology and phonological dialectometry on Swedish dialects, as well as evaluating variant parameter settings. The research questions of this dissertation are (1) whether a statistical measure of syntax for dialectometry will reproduce the results of syntactic dialectology and phonological dialectometry and (2) what parameter settings produce results most similar to dialectology's results. Statistical dialect distance is defined in two parts: a feature set that captures linguistic properties and a measure of dissimilarity that combines two sites' features into a single number. This dissertation uses feature sets from previous work: trigrams (Nerbonne & Wiersma, 2006) and leaf-ancestor paths (Sanders, 2007). In addition, it introduces two other feature sets: leaf-head paths based on dependencies and phrase-structure rules. This dissertation uses the measure R (Nerbonne & Wiersma 2006) as well as measures from information theory: Kullback-Leibler and Jensen-Shannon divergences and cosine similarity. This statistical distance is tested on the Swediasyn, a corpus of interviews recorded in villages throughout Sweden. After the distance was measured, the distances were processed and then compared with existing dialectology results. Unlike previous work, significant distances were measured between dialect corpora in this dissertation. When these distances are mapped to the geography of Sweden, they reproduce the traditional dialect regions of Sweden. There is weak correlation with geographic distance, but good agreement between dialectometric syntactic and phonological distance. Comparing specific dialect features with those of dialectology is inconclusive; better comparison methods are needed. en_US
dc.language.iso en en_US
dc.publisher [Bloomington, Ind.] : Indiana University en_US
dc.rights This work is licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) license.
dc.subject linguistics en_US
dc.subject computational en_US
dc.subject dialectometry en_US
dc.subject dialectology en_US
dc.subject syntax en_US
dc.subject swedish en_US
dc.subject.classification Computer Science en_US
dc.subject.classification Language, Linguistics en_US
dc.title A Statistical Method for Syntactic Dialectometry en_US
dc.type Doctoral Dissertation en_US

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This work is licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) license. Except where otherwise noted, this item's license is described as This work is licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) license.

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