16 found
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  1.  43
    Becoming syntactic.Franklin Chang, Gary S. Dell & Kathryn Bock - 2006 - Psychological Review 113 (2):234-272.
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  2.  70
    The development of abstract syntax: Evidence from structural priming and the lexical boost.Caroline F. Rowland, Franklin Chang, Ben Ambridge, Julian M. Pine & Elena Vm Lieven - 2012 - Cognition 125 (1):49-63.
  3.  71
    Can thematic roles leave traces of their places?Franklin Chang, Kathryn Bock & Adele E. Goldberg - 2003 - Cognition 90 (1):29-49.
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  4.  41
    Symbolically speaking: a connectionist model of sentence production.Franklin Chang - 2002 - Cognitive Science 26 (5):609-651.
    The ability to combine words into novel sentences has been used to argue that humans have symbolic language production abilities. Critiques of connectionist models of language often center on the inability of these models to generalize symbolically (Fodor & Pylyshyn, 1988; Marcus, 1998). To address these issues, a connectionist model of sentence production was developed. The model had variables (role‐concept bindings) that were inspired by spatial representations (Landau & Jackendoff, 1993). In order to take advantage of these variables, a novel (...)
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  5.  61
    Do Lemmas Speak German? A Verb Position Effect in German Structural Priming.Franklin Chang, Michael Baumann, Sandra Pappert & Hartmut Fitz - 2015 - Cognitive Science 39 (5):1113-1130.
    Lexicalized theories of syntax often assume that verb-structure regularities are mediated by lemmas, which abstract over variation in verb tense and aspect. German syntax seems to challenge this assumption, because verb position depends on tense and aspect. To examine how German speakers link these elements, a structural priming study was performed which varied syntactic structure, verb position, and verb overlap.structural priming was found, both within and across verb position, but priming was larger when the verb position was the same between (...)
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  6.  66
    Connectionist Models of Language Production: Lexical Access and Grammatical Encoding.Gary S. Dell, Franklin Chang & Zenzi M. Griffin - 1999 - Cognitive Science 23 (4):517-542.
    Theories of language production have long been expressed as connectionist models. We outline the issues and challenges that must be addressed by connectionist models of lexical access and grammatical encoding, and review three recent models. The models illustrate the value of an interactive activation approach to lexical access in production, the need for sequential output in both phonological and grammatical encoding, and the potential for accounting for structural effects on errors and structural priming from learning.
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  7.  63
    “Long before short” preference in the production of a head-final language.Hiroko Yamashita & Franklin Chang - 2001 - Cognition 81 (2):B45-B55.
  8.  35
    Meaningful questions: The acquisition of auxiliary inversion in a connectionist model of sentence production.Hartmut Fitz & Franklin Chang - 2017 - Cognition 166 (C):225-250.
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  9.  32
    Input and Age‐Dependent Variation in Second Language Learning: A Connectionist Account.Marius Janciauskas & Franklin Chang - 2018 - Cognitive Science 42 (S2):519-554.
    Language learning requires linguistic input, but several studies have found that knowledge of second language rules does not seem to improve with more language exposure. One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive period, (...)
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  10.  27
    Four-year-old Mandarin-speaking children’s online comprehension of relative clauses.Wenchun Yang, Angel Chan, Franklin Chang & Evan Kidd - 2020 - Cognition 196 (C):104103.
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  11.  54
    Prediction in processing is a by-product of language learning.Franklin Chang, Evan Kidd & Caroline F. Rowland - 2013 - Behavioral and Brain Sciences 36 (4):350-351.
    Both children and adults predict the content of upcoming language, suggesting that prediction is useful for learning as well as processing. We present an alternative model which can explain prediction behaviour as a by-product of language learning. We suggest that a consideration of language acquisition places important constraints on Pickering & Garrod's (P&G's) theory.
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  12.  27
    Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations.Katherine E. Twomey, Franklin Chang & Ben Ambridge - 2016 - Cognition 153 (C):124-139.
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  13.  32
    Connectionism coming of age: legacy and future challenges.Julien Mayor, Pablo Gomez, Franklin Chang & Gary Lupyan - 2014 - Frontiers in Psychology 5.
  14.  15
    A Comprehensive Examination of Prediction‐Based Error as a Mechanism for Syntactic Development: Evidence From Syntactic Priming.Seamus Donnelly, Caroline Rowland, Franklin Chang & Evan Kidd - 2024 - Cognitive Science 48 (4):e13431.
    Prediction-based accounts of language acquisition have the potential to explain several different effects in child language acquisition and adult language processing. However, evidence regarding the developmental predictions of such accounts is mixed. Here, we consider several predictions of these accounts in two large-scale developmental studies of syntactic priming of the English dative alternation. Study 1 was a cross-sectional study (N = 140) of children aged 3−9 years, in which we found strong evidence of abstract priming and the lexical boost, but (...)
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  15.  22
    Visual Heuristics for Verb Production: Testing a Deep‐Learning Model With Experiments in Japanese.Franklin Chang, Tomoko Tatsumi, Yuna Hiranuma & Colin Bannard - 2023 - Cognitive Science 47 (8):e13324.
    Tense/aspect morphology on verbs is often thought to depend on event features like telicity, but it is not known how speakers identify these features in visual scenes. To examine this question, we asked Japanese speakers to describe computer‐generated animations of simple actions with variation in visual features related to telicity. Experiments with adults and children found that they could use goal information in the animations to select appropriate past and progressive verb forms. They also produced a large number of different (...)
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  16.  23
    Why loose rings can be tight: The role of learned object knowledge in the development of Korean spatial fit terms.Franklin Chang, Youngon Choi & Yeonjung Ko - 2015 - Cognition 136 (C):196-203.
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