Mapping Lexical Dialect Variation in British English Using Twitter

Grieve, Jack; Montgomery, Chris; Nini, Andrea; Murakami, Akira; Guo, Diansheng

doi:10.3389/frai.2019.00011

Cited by 46 publications

(51 citation statements)

References 36 publications

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“…Assuming that dialect leveling has occurred since the survey, they may only want to visit a sufficient number of sites representing the contemporary dialectal landscape. Additionally, the methodology could be implemented for larger databases based on online crawling or digitized corpora (e.g., Anderwald and Wagner, 2007 ; Huang et al, 2016 ; Ueberwasser and Stark, 2017 ; Grieve et al, 2019 ; Willis, 2020 ), where the researcher might need to select limited, representative survey sites after appropriate data pooling (e.g., spatially).…”

Section: Introductionmentioning

confidence: 99%

Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering

Jeszenszky

Steiner

Leemann

2021

Front. Artif. Intell.

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Many language change studies aim for a partial revisitation, i.e., selecting survey sites from previous dialect studies. The central issue of survey site reduction, however, has often been addressed only qualitatively. Cluster analysis offers an innovative means of identifying the most representative survey sites among a set of original survey sites. In this paper, we present a general methodology for finding representative sites for an intended study, potentially applicable to any collection of data about dialects or linguistic variation. We elaborate the quantitative steps of the proposed methodology in the context of the “Linguistic Atlas of Japan” (LAJ). Next, we demonstrate the full application of the methodology on the “Linguistic Atlas of German-speaking Switzerland” (Germ.: “Sprachatlas der Deutschen Schweiz”—SDS), with the explicit aim of selecting survey sites corresponding to the aims of the current project “Swiss German Dialects Across Time and Space” (SDATS), which revisits SDS 70 years later. We find that depending on the circumstances and requirements of a study, the proposed methodology, introducing cluster analysis into the survey site reduction process, allows for a greater objectivity in comparison to traditional approaches. We suggest, however, that the suitability of any set of candidate survey sites resulting from the proposed methodology be rigorously revised by experts due to potential incongruences, such as the overlap of objectives and variables across the original and intended studies and ongoing dialect change.

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Section: Introductionmentioning

confidence: 99%

Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering

Jeszenszky

Steiner

Leemann

2021

Front. Artif. Intell.

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“…For example, Eisenstein (2013Eisenstein ( , 2015 showed that in American English tweets t/ddeletion depends on its phonological context, but the effect is less outspoken than in speech. Grieve et al (2019) compared regional lexical variation in British English between Twitter data and traditional survey data. In both resources similar lexical patterns were identified, but some regional patterns showed up more clearly in Twitter than in survey data.…”

Section: Introductionmentioning

confidence: 99%

“…The scarceness of variation research in CMC is partly due to predominantly anonymous contributions in CMC. Consequently, information about the writer's demographic background such as gender, age, education, birth place, hometown and social class, is not directly available (Herring, 2001;Grieve et al, 2019), which hampers a variationist sociolinguistic analysis. Participants' gender and age can often be deducted from screen names or profile descriptions and pictures, but it is time consuming to search for this information.…”

Section: Introductionmentioning

confidence: 99%

Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian

Dijkstra

Heeringa

Jongbloed-Faber

et al. 2021

Front. Artif. Intell.

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This paper investigates the usability of Twitter as a resource for the study of language change in progress in low-resource languages. It is a panel study of a vigorous change in progress, the loss of final t in four relative pronouns (dy't, dêr't, wêr't, wa't) in Frisian, a language spoken by ± 450,000 speakers in the north-west of the Netherlands. This paper deals with the issues encountered in retrieving and analyzing tweets in low-resource languages, in the analysis of low-frequency variables, and in gathering background information on Twitterers. In this panel study we were able to identify and track 159 individual Twitterers, whose Frisian (and Dutch) tweets posted in the era 2010–2019 were collected. Nevertheless, a solid analysis of the sociolinguistic factors in this language change in progress was hampered by unequal age distributions among the Twitterers, the fact that the youngest birth cohorts have given up Twitter almost completely after 2014 and that the variables have a low frequency and are unequally spread over Twitterers.

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“…At the same time, social media like Twitter and Facebook seem to have triggered lexical variation and innovation in many languages such as English. Robinson (2019), for example, studies lexical variation across the UK focusing on region and jargon, and Grieve et al (2019) investigates lexical dialect variation in British English using Twitter. Grieve (2016) handles regional variation in written American English.…”

Section: Introductionmentioning

confidence: 99%

Lexical Variation in the Rural North Jordanian Dialect

Bader¹,

Al-Shatnawi²

2021

SLL

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This study investigates lexical variation, which is due to more education, more mobility, and widespread use of the social media, in the dialect of three towns around Irbid City in north Jordan and its correlation with age, gender, and level of education. Labov’s approach is adopted to examine the linguistic variation among 98 speakers of the Irbidite dialect. Around 100 words were collected and put in the form of a questionnaire to elicit the opinion of speakers from different age groups, genders, and levels of education towards the frequency of their use of these words. The study used the method of direct interview to elicit the feelings of the participants about the dialect they use. The results show that old speakers and less educated ones tend to preserve their native lexical items more than others. They indicated that they use the original lexical items because they are proud of their dialect which reflects their identity. The groups which tend more to neglect some lexical items are educated young and middle-aged female subjects. They indicated that they do so for prestige and imitation of peers in the Irbidite society.

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Mapping Lexical Dialect Variation in British English Using Twitter

Cited by 46 publications

References 36 publications

Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering

Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering

Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian

Lexical Variation in the Rural North Jordanian Dialect

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