New! Sign up for our free email newsletter.
Science News
from research organizations

New linguistic tools can predict your dialect characteristics

Date:
September 24, 2014
Source:
Linguistic Society of America
Summary:
A new linguistic study may make it possible to more accurately predict the dialect features people use based on their demographic characteristics and where they live. In a new article, researchers used statistical modeling techniques to predict whether speakers in Tuscany use words from standard Italian or words unique to local dialects.
Share:
FULL STORY

A new linguistic study may make it possible to more accurately predict the dialect features people use based on their demographic characteristics and where they live. In a new article published in the September 2014 issue of Language, Martijn Wieling (University of Groningen) and colleagues used statistical modeling techniques to predict whether speakers in Tuscany use words from standard Italian or words unique to local dialects.

In the article, Wieling et al. studied how over 2,000 speakers of Italian and Tuscan dialects referred to 170 different concepts. (The Italian word for 'cheese', for example, is formaggio; a Tuscan speaker may refer to this instead as cacio.) Using a technique known as generalized additive mixed modeling, the researchers examined how the location of a speaker, as well as demographic information such as their age, sex, and education level, are likely to affect whether a speaker will use the standard (Italian) or dialectal (Tuscan) form for a given concept. Though the effects of geography and social factors in shaping language use have previously been studied by many linguists, Wieling et. al's study considers them together in a single and mathematically more sophisticated model.

Their findings reflected many previously-studied trends in dialect variation: for example, men, farmers, and speakers further from the city of Florence were more likely to use dialectal, Tuscan-specific words than women, while speakers with higher levels of education were more likely to use standard, Italian words. However, Wieling et. al's model also provided new insight into dialect patterns. For example, old speakers were more likely than young speakers to use their local dialect's terms for frequently-used concepts, but both young and old speakers showed similar patterns of usage for less-frequently-used words. Additionally, there was great variability in the usage patterns across concepts. For some concepts, the standard Italian form was more likely to be used in smaller villages than larger villages--while for other concepts this pattern was reversed, with a greater likelihood of a dialect-specific form in smaller villages.

Though this study focused on a group of speakers in a single region of Italy, the modeling methods used in this study could be applied to predict how geography and demographics could affect the language used by speakers of other languages, such as American English.

The report is available online here: http://www.linguisticsociety.org/files/wieling.pdf


Story Source:

Materials provided by Linguistic Society of America. Note: Content may be edited for style and length.


Journal Reference:

  1. Wieling et al. Lexical differences between Tuscan dialects and standard Italian: Accounting for geographic and socio-demographic variation using generalized additive mixed modeling. Language, September 2014

Cite This Page:

Linguistic Society of America. "New linguistic tools can predict your dialect characteristics." ScienceDaily. ScienceDaily, 24 September 2014. <www.sciencedaily.com/releases/2014/09/140924113651.htm>.
Linguistic Society of America. (2014, September 24). New linguistic tools can predict your dialect characteristics. ScienceDaily. Retrieved November 23, 2024 from www.sciencedaily.com/releases/2014/09/140924113651.htm
Linguistic Society of America. "New linguistic tools can predict your dialect characteristics." ScienceDaily. www.sciencedaily.com/releases/2014/09/140924113651.htm (accessed November 23, 2024).

Explore More

from ScienceDaily

RELATED STORIES