Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

From the world to word order: Deriving biases in noun phrase order from statistical properties of the world

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10427018" target="_blank" >RIV/00216208:11320/20:10427018 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://muse.jhu.edu/article/764695" target="_blank" >https://muse.jhu.edu/article/764695</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    From the world to word order: Deriving biases in noun phrase order from statistical properties of the world

  • Popis výsledku v původním jazyce

    The world’s languages exhibit striking diversity. At the same time, recurring linguistic patterns suggest the possibility that this diversity is shaped by features of human cognition. One well-studied example is word order in complex noun phrases (like these two red vases). While many orders of these elements are possible, a subset appear to be preferred. It has been argued that this ordering reflects a single underlying representation of noun phrase structure, from which preferred orders are straightforwardly derived (e.g. Cinque 2005). Building on previous experimental evidence using artificial language learning (Culbertson &amp; Adger 2014), we show that these preferred orders arise not only in existing languages, but also in improvised sequences of gestures produced by English speakers. We then use corpus data from a wide range of languages to argue that the hypothesized underlying structure of the noun phrase might be learnable from statistical features relating objects and their properties conceptually. Using an information-theoretic measure of strength of association, we find that adjectival properties (e.g. red) are on average more closely related to the objects they modify (e.g. wine) than numerosities are (e.g. two), which are in turn more closely related to the objects they modify than demonstratives are (e.g. this). It is exactly those orders which transparently reflect this—by placing adjectives closest to the noun, and demonstratives farthest away—that are more common across languages and preferred in our silent gesture experiments. These results suggest that our experience with objects in the world, combined with a preference for transparent mappings from conceptual structure to linear order, can explain constraints on noun phrase order.

  • Název v anglickém jazyce

    From the world to word order: Deriving biases in noun phrase order from statistical properties of the world

  • Popis výsledku anglicky

    The world’s languages exhibit striking diversity. At the same time, recurring linguistic patterns suggest the possibility that this diversity is shaped by features of human cognition. One well-studied example is word order in complex noun phrases (like these two red vases). While many orders of these elements are possible, a subset appear to be preferred. It has been argued that this ordering reflects a single underlying representation of noun phrase structure, from which preferred orders are straightforwardly derived (e.g. Cinque 2005). Building on previous experimental evidence using artificial language learning (Culbertson &amp; Adger 2014), we show that these preferred orders arise not only in existing languages, but also in improvised sequences of gestures produced by English speakers. We then use corpus data from a wide range of languages to argue that the hypothesized underlying structure of the noun phrase might be learnable from statistical features relating objects and their properties conceptually. Using an information-theoretic measure of strength of association, we find that adjectival properties (e.g. red) are on average more closely related to the objects they modify (e.g. wine) than numerosities are (e.g. two), which are in turn more closely related to the objects they modify than demonstratives are (e.g. this). It is exactly those orders which transparently reflect this—by placing adjectives closest to the noun, and demonstratives farthest away—that are more common across languages and preferred in our silent gesture experiments. These results suggest that our experience with objects in the world, combined with a preference for transparent mappings from conceptual structure to linear order, can explain constraints on noun phrase order.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů