Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too?

Mauroux, Susan Moore

doi:10.4000/anglophonia.755

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The weather forecast is a particular discourse type aimed at the general public and likely to be familiar to most people. It functions within a fairly rigid framework, whereby listeners/viewers have expectations about the sorts of words (e.g., weather types, temperatures, geographical locations, and times of the day/days of the week), images (e.g., a map of a country overlain with weather symbols), and gestures (e.g., points to areas of the map) that will occur ( Moore Mauroux, 2016 ). This discourse type was chosen not only because it was used in previous first-exposure studies of spoken language ( Gullberg et al, 2010 , 2012 ), but also because it could be adapted for presentation in Swedish Sign Language and still retain its familiarity for viewers.…”

Section: Methodsmentioning

confidence: 99%

Breaking Into Language in a New Modality: The Role of Input and Individual Differences in Recognising Signs

et al. 2022

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A key challenge when learning language in naturalistic circumstances is to extract linguistic information from a continuous stream of speech. This study investigates the predictors of such implicit learning among adults exposed to a new language in a new modality (a sign language). Sign-naïve participants (N = 93; British English speakers) were shown a 4-min weather forecast in Swedish Sign Language. Subsequently, we tested their ability to recognise 22 target sign forms that had been viewed in the forecast, amongst 44 distractor signs that had not been viewed. The target items differed in their occurrence frequency in the forecast and in their degree of iconicity. The results revealed that both frequency and iconicity facilitated recognition of target signs cumulatively. The adult mechanism for language learning thus operates similarly on sign and spoken languages as regards frequency, but also exploits modality-salient properties, for example iconicity for sign languages. Individual differences in cognitive skills and language learning background did not predict recognition. The properties of the input thus influenced adults’ language learning abilities at first exposure more than individual differences.

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Section: Methodsmentioning

confidence: 99%

Breaking Into Language in a New Modality: The Role of Input and Individual Differences in Recognising Signs

et al. 2022

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“…As a particular discourse type aimed at the general public, it is likely to be very familiar to participants. It should therefore generate a predictable semantic field for viewers, in terms of the words and concepts prototypically associated with weather forecasts (Moore Mauroux, 2016). This discourse genre was therefore chosen not only because it was used in previous first-exposure studies of spoken language (Gullberg et al, 2010(Gullberg et al, , 2012Veroude et al, 2010), but also because it could be adapted for presentation in Swedish Sign Language (Svenskt teckenspråk, STS) and still retain its familiarity.…”

Section: Investigating Implicit Learning Of Form-meaning Mappings At ...mentioning

confidence: 99%

Which Aspects of Visual Motivation Aid the Implicit Learning of Signs at First Exposure?

et al. 2023

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We investigated whether sign‐naïve learners can infer and learn the meaning of signs after minimal exposure to continuous, naturalistic input in the form of a weather forecast in Swedish Sign Language. Participants were L1‐English adults. Two experimental groups watched the forecast once (n = 40) or twice (n = 42); a control group did not (n = 42). Participants were then asked to assign meaning to 22 target signs. We explored predictors of meaning assignment with respect to item occurrence frequency and three facets of visual motivation: iconicity, transparency, and gesture similarity. Meaning assignment was enhanced by exposure and item frequency, thereby providing evidence for implicit language learning in a new modality, even under challenging naturalistic conditions. Accuracy was also contingent upon iconicity and transparency, but not upon gesture similarity. Meaning assignment at first exposure is thus visually motivated, although the overall low accuracy rates and further qualitative analyses suggest that visually motivated meaning assignment is not always successful.

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“…The weather forecast is a particular discourse type aimed at the general public and likely to be familiar to most people. It functions within a fairly rigid framework, whereby listeners/ viewers have expectations about the sorts of words (e.g., weather types, temperatures, geographical locations, and times of the day/days of the week), images (e.g., a map of a country overlain with weather symbols), and gestures (e.g., points to areas of the map) that will occur (Moore Mauroux, 2016). This discourse type was chosen not only because it was used in previous first-exposure studies of spoken language (Gullberg et al, 2010(Gullberg et al, , 2012, but also because it could be adapted for presentation in Swedish Sign Language and still retain its familiarity for viewers.…”

Section: Naturalistic Input: Weather Forecast In Swedish Sign Languagementioning

confidence: 99%

Breaking into language in a new modality: the role of input and of individual differences in recognising signs

Hofweber¹,

Aumonier²,

Janke³

et al. 2021

Preprint

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A key challenge when learning language in naturalistic circumstances is to extract linguistic information from a continuous stream of speech. This study investigates the predictors of such implicit learning amongst adults exposed to a new language in a new modality. Sign-naïve participants (N=93; British-English speakers) were shown a 4-minute weather forecast in Swedish Sign Language. Subsequently, we tested their ability to recognise 22 target sign forms. The target items differed in their occurrence frequency in the forecast, and in their degree of iconicity. The results revealed that both frequency and iconicity facilitated recognition cumulatively. The adult mechanism for language learning thus operates similarly on sign and spoken languages as regards frequency, but also exploits modality-salient properties, e.g., iconicity for sign languages. Individual differences in cognitive skills did not predict recognition. The properties of the input thus influenced adults’ language learning abilities at first exposure more than individual differences.

show abstract

Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too?

Cited by 3 publications

References 2 publications

Breaking Into Language in a New Modality: The Role of Input and Individual Differences in Recognising Signs

Breaking Into Language in a New Modality: The Role of Input and Individual Differences in Recognising Signs

Which Aspects of Visual Motivation Aid the Implicit Learning of Signs at First Exposure?

Breaking into language in a new modality: the role of input and of individual differences in recognising signs

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