香蕉视频

Psychology researchers at 香蕉视频 have used network science 鈥� a mathematical technique for revealing connections and patterns 鈥� to gain novel insights into Montrealers鈥� experience of using French and English.

The unique approach has brought to light subtle differences as to which social settings Montreal bilinguals discuss certain topics and whether they use French, English or both languages to discuss those topics.

The study, published in the November edition of the Journal of Neurolinguistics, follows a trend in language science to pay closer attention to the context in which language is used, but the researchers have gone a step further with their analysis of the topics bilinguals talk about.

鈥淚n the cognitive sciences, when people study language, they鈥檙e almost always looking at how people use language, at what鈥檚 going on cognitively or in the brain,鈥� explains the study鈥檚 senior author, Debra Titone, psychology professor at McGill and Canada Research Chair in Language and Multilingualism. 鈥淏ut what鈥檚 unique about this work is that we鈥檙e using mathematical tools to get at what people talk about.鈥�

Bridging a gap between scientific and social understanding of language

Analyzing content in this way has traditionally been the province of the humanities 鈥� discourse analysis, for instance, is a tool familiar to linguistics, cultural studies and many other social science disciplines. The unique application of network science to study what people talk about in different contexts opens a path to incorporate information about context and content into future work on the neurological and cognitive processes underlying language.

鈥淲e know that experience matters in terms of how the brain gets tuned to particular cognitive functions like language or attention,鈥� Titone says. 鈥淏y bridging between the content and context of where people actually communicate in the real world and the processes that come to bear, we are providing a path for other researchers to get at the content of what people talk about in a quantitative way that could be combined with traditional processing measures.鈥�

Montreal bilinguals鈥� language use highly variable

The researchers surveyed 115 French-English bilinguals, 66 of whom identified French as their stronger, or 鈥榙ominant鈥�, language, while the other 49 identified English as their dominant language. The participants were asked which of the two languages they used to talk about 21 different topics 鈥� ranging from sport to politics to religion 鈥� in each of five communicative contexts: at work, at home, at school, with their family, and in their social life. The findings revealed unique patterns for each of the five settings.

鈥淥n one end of the spectrum, we found the work context is more compartmentalized in terms of the number of things people are talking about and the number of languages they鈥檙e using to talk about those topics,鈥� says lead author, Mehrgol Tiv, a doctoral candidate in experimental psychology at McGill. 鈥淎t the other end, in their social lives, we found people were talking about all 21 of the topics, and they鈥檙e using both languages to talk about those topics.鈥�

While many Montreal bilinguals are required to use their non-dominant language in their work or study environment, the researchers found that non-dominant language use was also common in the more relaxed setting of social interactions with family and friends.

鈥淭hat could be a characteristic of Montreal, where you have these highly proficient bilinguals in a city that is itself pretty bilingual,鈥� Tiv says. 鈥淚n other cities where they might not be so much language diversity, it could be harder to find a non-dominant language appearing in, let鈥檚 say, a social context.鈥�

Future work to highlight individual differences in language use

The researchers acknowledge the results of the study were heavily influenced by the profile of the study participants 鈥� predominantly university students from in and around the McGill community. But, with collaborators in Montreal, Ottawa and Florida, they are already working on projects to apply their network science method across a broader range of demographics and languages.

鈥淭he broader theme we are really interested in pursuing is to better socially contextualize language and understand the role of individual differences,鈥� Tiv says. 鈥淲e see this this level of detail as something to leverage as opposed to casting it off as something that鈥檚 not meaningful, which has traditionally been done in the field.鈥�

About the study

鈥淯sing network science to map what Montr茅al bilinguals talk about across languages and communicative contexts鈥� by Mehrgol Tiv et al. was published in the Journal of Neurolinguistics.

DOI:

The research was funded by the Social Sciences and Humanities Research Council of Canada, the Natural Sciences and Engineering Research Council of Canada, and the National Institutes of Health.

Image: The researchers used network science 鈥� a system of 鈥榥odes鈥� and 鈥榚dges鈥� 鈥� to reveal unique patterns in the topics Montreal bilinguals discuss in various settings, and they language they use to do so.