1,936 research outputs found

    Simplicity and informativeness in semantic category systems

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    Recent research has shown that semantic category systems, such as color and kinship terms, find an optimal balance between simplicity and informativeness. We argue that this situation arises through pressure for simplicity from learning and pressure for informativeness from communicative interaction, two distinct pressures that often (but not always) pull in opposite directions. Another account argues that learning might also act as a pressure for informativeness, that learners might be biased toward inferring informative systems. This results in two competing hypotheses about the human inductive bias. We formalize these competing hypotheses in a Bayesian iterated learning model in order to simulate what kinds of languages are expected to emerge under each. We then test this model experimentally to investigate whether learners' biases, isolated from any communicative task, are better characterized as favoring simplicity or informativeness. We find strong evidence to support the simplicity account. Furthermore, we show how the application of a simplicity principle in learning can give the impression of a bias for informativeness, even when no such bias is present. Our findings suggest that semantic categories are learned through domain-general principles, negating the need to posit a domain-specific mechanism

    Modal semantic universals optimize the simplicity/informativeness trade-off

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    The meanings expressed by the world’s languages have been argued to support efficient communication. Evidence for this hypothesis has drawn on cross-linguistic analyses of vocabulary in semantic domains of both content words (e.g. kinship terms (Kemp & Regier 2012); color terms (Regier, Kay & Khetarpal 2007; Zaslavsky, Kemp, Regier & Tishby 2018)) and function words (e.g.quantifiers(Steinert-Threlkeld2021); indefinite pronouns(Deni ́c, Steinert-Threlkeld & Szymanik 2022)) approaching the hypothesis concretely in terms of a trade-off between simplicity and informativeness. We apply the analysis to modals (e.g. can, ought, might). Two proposed universals in this domain from Nauze (2008) and Vander Klok (2013) are used for generating many artificial languages with varying degrees of quasi-naturalness as a proxy for natural data. A computational experiment shows that most of the optimal solutions to the trade-off problem are predicted by Vander Klok; meanwhile, as languages more robustly satisfy Nauze’s universal, they also become more optimal. This suggests that efficient communication is a leading explanation for constraints on modal semantic variation

    Grammatical marking and the tradeoff between code length and informativeness

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    Functionalist accounts of language suggest that formsare paired with meanings in ways that support efficientcommunication. Previous work on grammatical markingsuggests that word forms have lengths that enable efficientproduction, and previous work on the semantic typologyof the lexicon suggests that word meanings representefficient partitions of semantic space. Here we consider anintegrated information-theoretic framework that captures howcommunicative pressures influence both form and meaning.We take tense systems as a case study, and show how theframework explains both which tense systems are attestedacross languages and the length asymmetries of the forms inthose systems

    Complexity/informativeness trade-off in the domain of indefinite pronouns

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    The vocabulary of human languages has been argued to support efficient communication by optimizing the trade-off between complexity and informativeness (Kemp & Regier 2012). The argument has been based on cross-linguistic analyses of vocabulary in semantic domains of content words such as kinship, color, and number terms. The present work extends this analysis to a category of function words: indefinite pronouns (e.g. someone, anyone, no-one, cf. Haspelmath 2001). We build on previous work to establish the meaning space and featural make-up for indefinite pronouns, and show that indefinite pronoun systems across languages optimize the complexity/informativeness trade-off. This demonstrates that pressures for efficient communication shape both content and function word categories, thus tying in with the conclusions of recent work on quantifiers by Steinert-Threlkeld (2019). Furthermore, we argue that the trade-off may explain some of the universal properties of indefinite pronouns, thus reducing the explanatory load for linguistic theories

    Communication increases category structure and alignment only when combined with cultural transmission

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    The semantic categories labeled by words in natural languages are used for communication with others, and learned by observing the productions of others who learned them in the same way. Do these processes of communication and cultural transmission affect the structure of category systems and their alignment across speakers? We examine novel category systems that emerge from communication, cultural transmission, and both processes combined. Communication alone leads to category systems that vary widely in their communicative effectiveness, and are no more structured or aligned than those created by individuals. When combined with cultural transmission, communication speeds up convergence on a learnable number of structured, aligned categories that are consistently communicatively effective. However, cultural transmission without communication eventually has similar results. Communication appears to be neither necessary nor sufficient for creating semantic category systems that are robustly effective for communication. Furthermore, category systems that emerge from cultural transmission are more aligned across speakers than the systems created by individuals, suggesting that cultural transmission allows individuals to coordinate their semantic systems more effectively than they can through shared perceptual biases alone

    Communication increases category structure and alignment only when combined with cultural transmission

    Get PDF
    The semantic categories labeled by words in natural languages are used for communication with others, and learned by observing the productions of others who learned them in the same way. Do these processes of communication and cultural transmission affect the structure of category systems and their alignment across speakers? We examine novel category systems that emerge from communication, cultural transmission, and both processes combined. Communication alone leads to category systems that vary widely in their communicative effectiveness, and are no more structured or aligned than those created by individuals. When combined with cultural transmission, communication speeds up convergence on a learnable number of structured, aligned categories that are consistently communicatively effective. However, cultural transmission without communication eventually has similar results. Communication appears to be neither necessary nor sufficient for creating semantic category systems that are robustly effective for communication. Furthermore, category systems that emerge from cultural transmission are more aligned across speakers than the systems created by individuals, suggesting that cultural transmission allows individuals to coordinate their semantic systems more effectively than they can through shared perceptual biases alone

    The informativeness/complexity trade-off in the domain of Boolean connectives

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