How the size of our social network influences our semantic skills

People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size by randomly assigning participants to learn novel evaluative words as used by two (small network) versus eight (large network) speakers. It replicated the finding from Study 1, showing that those exposed to a larger social network were better at comprehending the valence of product reviews containing the novel words that were written by novel speakers. Together, these studies show that the size of one's social network can influence success at language comprehension. They thus open the door to research on how individuals’ lifestyle and the nature of their social interactions can influence linguistic skills

People with larger social networks show poorer voice recognition

The way we process language is influenced by our experience. We are more likely to attend to features that proved to be useful in the past. Importantly, the size of individuals’ social network can influence their experience, and consequently, how they process language. In the case of voice recognition, having a larger social network might provide more variable input and thus enhance the ability to recognise new voices. On the other hand, learning to recognise voices is more demanding and less beneficial for people with a larger social network as they have more speakers to learn yet spend less time with each. This paper tests whether social network size influences voice recognition, and if so, in which direction. Native Dutch speakers listed their social network and performed a voice recognition task. Results showed that people with larger social networks were poorer at learning to recognise voices. Experiment 2 replicated the results with a British sample and English stimuli. Experiment 3 showed that the effect does not generalise to voice recognition in an unfamiliar language suggesting that social network size influences attention to the linguistic rather than non-linguistic markers that differentiate speakers. The studies thus show that our social network size influences our inclination to learn speaker-specific patterns in our environment, and consequently, the development of skills that rely on such learned patterns, such as voice recognition

A bad feeling or a bad filling? The influence of social network size on speech perception

Infants and adults learn new phonological varieties better when exposed to multiple rather than a single speaker. Does having a larger social network similarly facilitate phonological performance? Study 1 shows that people with larger social networks are indeed better at speech perception in noise, indicating that the benefit of exposure to multiple speakers extends to real life experience and to adult native speakers. Furthermore, the study shows that this association is not due to differences in amount of input or to cognitive differences between people with different social network sizes. Using computational simulations, Study 2 reveals that the effect of social network size on speech perception is fully mediated by the fact that having a larger social network leads to smoother sampling of the central areas of the phonemes. Furthermore, the simulations reveal that in contrast to previous assumptions, variability itself does not boost performance. The simulations also show that the effect of social network size is independent of amount of input but is modulated by the ratio of intra- to inter-individual variability. Together, these studies show how properties of our social network influence our speech perception. They thus show how aspects of our life-style can influence our linguistic performance

Do people converge to the linguistic patterns of non-reliable speakers? Perceptual learning from non-native speakers

People's language is shaped by the input from the environment. The environment, however, offers a range of linguistic inputs that differ in their reliability. We test whether listeners accordingly weigh input from sources that differ in reliability differently. Using a perceptual learning paradigm, we show that listeners adjust their representations according to linguistic input provided by native but not by non-native speakers. This is despite the fact that listeners are able to learn the characteristics of the speech of both speakers. These results provide evidence for a disassociation between adaptation to the characteristic of specific speakers and adjustment of linguistic representations in general based on these learned characteristics. This study also has implications for theories of language change. In particular, it cast doubts on the hypothesis that a large proportion of non-native speakers in a community can bring about linguistic change

Executive control influences linguistic representations

Although it is known that words acquire their meanings partly from the contexts in which they are used, we proposed that the way in which words are processed can also influence their representation. We further propose that individual differences in the way that words are processed can consequently lead to individual differences in the way that they are represented. Specifically, we showed that executive control influences linguistic representations by influencing the coactivation of competing and reinforcing terms. Consequently, people with poorer executive control perceive the meanings of homonymous terms as being more similar to one another, and those of polysemous terms as being less similar to one another, than do people with better executive control. We also showed that bilinguals with poorer executive control experience greater cross-linguistic interference than do bilinguals with better executive control. These results have implications for theories of linguistic representation and language organization

How social network heterogeneity facilitates lexical access and lexical prediction

People learn language from their social environment. As individuals differ in their social networks, they might be exposed to input with different lexical distributions, and these might influence their linguistic representations and lexical choices. In this article we test the relation between linguistic performance and 3 social network properties that should influence input variability, namely, network size, network heterogeneity, and network density. In particular, we examine how these social network properties influence lexical prediction, lexical access, and lexical use. To do so, in Study 1, participants predicted how people of different ages would name pictures, and in Study 2 participants named the pictures themselves. In both studies, we examined how participants’ social network properties related to their performance. In Study 3, we ran simulations on norms we collected to see how age variability in one’s network influences the distribution of different names in the input. In all studies, network age heterogeneity influenced performance leading to better prediction, faster response times for difficult-to-name items, and less entropy in input distribution. These results suggest that individual differences in social network properties can influence linguistic behavior. Specifically, they show that having a more heterogeneous network is associated with better performance. These results also show that the same factors influence lexical prediction and lexical production, suggesting the two might be related

Interacting with multiple partners improves communication skills

Successful communication is important for both society and people’s personal life. Here we show that people can improve their communication skills by interacting with multiple others, and that this improvement seems to come about by a greater tendency to take the addressee’s perspective when there are multiple partners. In Experiment 1, during a training phase, participants described figures to a new partner in each round or to the same partner in all rounds. Then all participants interacted with a new partner and their recordings from that round were presented to naïve listeners. Participants who had interacted with multiple partners during training were better understood. This occurred despite the fact that the partners had not provided the participants with any input other than feedback on comprehension during the interaction. In Experiment 2, participants were asked to provide descriptions to a different future participant in each round or to the same future participant in all rounds. Next they performed a surprise memory test designed to tap memory for global details, in line with the addressee’s perspective. Those who had provided descriptions for multiple future participants performed better. These results indicate that people can improve their communication skills by interacting with multiple people, and that this advantage might be due to a greater tendency to take the addressee’s perspective in such cases. Our findings thus show how the social environment can influence our communication skills by shaping our own behavior during interaction in a manner that promotes the development of our communication skills

The effect of domain prestige and interlocutors’ bilingualism on sound adaptation

There is great variability in whether foreign sounds in loanwords are adapted, such that segments show cross-word and cross-situational variation in adaptation. Previous research proposed that word frequency, speakers' level of bilingualism and neighborhoods' level of bilingualism can explain such variability. We test for the effect of these factors and propose two additional factors: interlocutors' level of bilingualism and the prestige of the donor language in the loanword's domain. Analyzing elicited productions of loanwords from Spanish into Mexicano in a village where Spanish and Mexicano enjoy prestige in complementary domains, we show that interlocutors' bilingualism and prestige influence the rate of sound adaptation. Additionally, we find that speakers accommodate to their interlocutors, regardless of the interlocutors' level of bilingualism. As retention of foreign sounds can lead to sound change, these results show that social factors can influence changes in a language's sound system

Selective grammatical convergence: Learning from desirable speakers

Models of language learning often assume that we learn from all the input we receive. This assumption is particularly strong in the domain of short-term and long-term grammatical convergence, where researchers argue that grammatical convergence is mostly an automatic process insulated from social factors. This paper shows that the degree to which individuals learn from grammatical input is modulated by social and contextual factors, such as the degree to which the speaker is liked and their social standing. Furthermore, such modulation is found in experiments that test generalized learning rather than convergence during the interaction. This paper thus shows the importance of the social context in grammatical learning, and indicates that the social context should be integrated into models of language learning