A quantitative approach to Swiss German – Dialectometric analyses and comparisons of linguistic levels

Scherrer, Yves; Stoeckle, Philipp

doi:10.1515/dialect-2016-0006

Cited by 22 publications

(34 citation statements)

References 27 publications

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“…On the other hand, Scherrer and Rambow (2010) as well as Hollenstein and Aepli (2015) found ZH to be one of the most easily identifiable dialects, suggesting that it acts as a sort of default dialect with few characteristic traits. Dialectometrical studies (Scherrer and Stoeckle, 2016) have partially confirmed this role of the Zurich dialect.…”

Section: Resultsmentioning

confidence: 83%

Findings of the VarDial Evaluation Campaign 2017

Zampieri¹,

Malmasi²,

Ljubešić³

et al. 2017

Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)

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We present the results of the VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects, which we organized as part of the fourth edition of the VarDial workshop at EACL'2017. This year, we included four shared tasks: Discriminating between Similar Languages (DSL), Arabic Dialect Identification (ADI), German Dialect Identification (GDI), and Cross-lingual Dependency Parsing (CLP). A total of 19 teams submitted runs across the four tasks, and 15 of them wrote system description papers.

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Section: Resultsmentioning

confidence: 83%

Findings of the VarDial Evaluation Campaign 2017

Zampieri¹,

Malmasi²,

Ljubešić³

et al. 2017

Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)

Self Cite

119

158

View full text Add to dashboard Cite

show abstract

“…Indeed, the geographic range at which residuals decay to zero is much larger than in Map 8. We attribute the patterns visible in Map 9 to the special position of Freiburg in the Swiss dialect syntax landscape (Bucheli Berger, 2010; Scherrer & Stoeckle, 2016:109). Thus, we can claim that the analysis of residuals, both in scatterplots and even more so in maps, is an interesting tool to reveal such patterns and differences.…”

Section: Discussionmentioning

confidence: 99%

Exploring global and local patterns in the correlation of geographic distances and morphosyntactic variation in Swiss German

Jeszenszky

Stoeckle

Glaser

et al. 2017

J. of Ling. Geography

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Using data from a Swiss German dialect syntax survey, this study aims to explore, in a spatially differentiated manner, the correlation between dialectal variation and geographic distances. A linguistic distance was expressed by a measure aggregated from 60 survey questions. To operationalize the possibility of language contact, Euclidean distance, as well as travel times in 2000, 1950 and 1850 between survey sites were used. Going beyond previous work by others, we also explore the covariation of geographic and linguistic distances at the local level, focusing on spatial subsets and individual survey sites, thus being able to paint a more differentiated picture. With the diverse physical landscape of Switzerland making an impact on potential language contact, we find that travel times are a better predictor than Euclidean distance for the syntactic variation in Swiss German dialects. However, on the local scale the difference is not always significant, depending on prevalent topography. AbstractUsing data of a Swiss German dialect syntax survey this study aims at exploring, in a spatially differentiated manner, the correlation between dialectal variation and geographic distances. A linguistic distance was expressed by a measure aggregated from 60 survey questions. To operationalise the possibility of language contact, Euclidean distance and travel times in 2000, 1950 and 1850 between survey sites were used. Going beyond previous work by others, we also explore the covariation of geographic and linguistic distances at the local scale, focusing on spatial subsets and individual survey sites, thus being able to paint a more differentiated picture. With the diverse physical landscape of Switzerland making an impact on potential language contact, we find that travel times are a better predictor than Euclidean distance for the syntactic variation in Swiss German dialects. However, on the local scale the difference is not always significant, depending on prevalent topography.

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“…Nevertheless, some 1007|NW|EP 1053|NW|NA 1240|GR|FS 1255|UR|FS 1138|LU|NA 1235|LU|NA 1121|BE|PM 1215|BE|PM 1203|BE|NA 1142|BE|EP 1170|BE|EP 1063|AG|EP 1147|AG|EP 1195|LU|EP 1261|LU|EP 1073|BL|EP 1075|BS|EP 1048|GL|EP 1207|GL|EP 1209|SZ|EP 1212|VS|EP 1082|ZH|PM 1083|ZH|PM 1244|ZH|PM 1225|ZH|PM 1087|ZH|PM 1143|ZH|EP 1270|ZH|EP 1008|LU|NA 1055|ZH|NA 1189|ZH|NA 1188|ZH|NA 1163|AG|FS 1205|SH|NA 1198|SG|EP 1044|BS|NA 1224|BS|NA 1263|BS|NA 1228|ZH|AZ 1295|AG|AZ 1300|ZH|AZ 1248|AG|AZ dialectologically interesting groupings can be found: BL and BS refer to similar dialects, NW and UR as well, and VS is least connected to any other dialect area. The clustering obtained with the ArchiMob documents can be compared with a similar experiment based on data from two Swiss German dialect atlases according to the traditional dialectometrical approach (Scherrer and Stoeckle 2016): each ArchiMob document in Fig. 6 is assigned a color, which corresponds to the cluster inferred at that geographical location by (Scherrer and Stoeckle 2016).…”

Section: Dialect Classificationmentioning

confidence: 99%

“…The clustering obtained with the ArchiMob documents can be compared with a similar experiment based on data from two Swiss German dialect atlases according to the traditional dialectometrical approach (Scherrer and Stoeckle 2016): each ArchiMob document in Fig. 6 is assigned a color, which corresponds to the cluster inferred at that geographical location by (Scherrer and Stoeckle 2016). The matching suggests that at least a subset of documents contains a dialectologically differentiated signal that can rival with much more cost-intensive atlas data.…”

Section: Dialect Classificationmentioning

confidence: 99%

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Digitising Swiss German: how to process and study a polycentric spoken language

Scherrer

Samardžić

Glaser

2019

Lang Resources & Evaluation

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Swiss dialects of German are, unlike many dialects of other standardised languages, widely used in everyday communication. Despite this fact, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerable regional variation. This paper presents the ArchiMob corpus, a freely available general-purpose corpus of spoken Swiss German based on oral history interviews. The corpus is a result of a long design process, intensive manual work and specially adapted computational processing. We first present the modalities of access of the corpus for linguistic, historic and computational research. We then describe how the documents were transcribed, segmented and aligned with the sound source. This work involved a series of experiments that have led to automatically annotated normalisation and part-of-speech tagging layers. Finally, we present several case studies to motivate the use of the corpus for digital humanities in general and for dialectology in particular. Keywords Swiss German Á Corpus Á Non-standard language Á Spoken language Á Normalisation Á Speech-to-text alignment Á Word level annotation Á Dialectology Á Dialectometry Á Oral history & Yves Scherrer

show abstract

A quantitative approach to Swiss German – Dialectometric analyses and comparisons of linguistic levels

Cited by 22 publications

References 27 publications

Findings of the VarDial Evaluation Campaign 2017

Findings of the VarDial Evaluation Campaign 2017

Exploring global and local patterns in the correlation of geographic distances and morphosyntactic variation in Swiss German

Digitising Swiss German: how to process and study a polycentric spoken language

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