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Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Pragmatic factors can explain variation in interpretation preferences for quantifier-negation utterances: A computational approach
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Every Quantifier Isn't the Same: Informativity Matters for Ambiguity Resolution in Quantifier-Negation Sentences
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Leveraging monolingual developmental techniques to better understand heritage languages
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In: BILINGUALISM-LANGUAGE AND COGNITION, vol 23, iss 1 (2020)
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Immature Representation or Immature Deployment? Modeling Child Pronoun Resolution
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In: Proceedings of the Society for Computation in Linguistics (2020)
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A Quantitative Framework for Specifying Underlying Representations in Child Language Acquisition
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Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater
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In: LANGUAGE, vol 95, iss 1 (2019)
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COMPARING SOLUTIONS TO THE LINKING PROBLEM USING AN INTEGRATED QUANTITATIVE FRAMEWORK OF LANGUAGE ACQUISITION
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In: LANGUAGE, vol 95, iss 4 (2019)
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Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater
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In: Pearl, Lisa S. (2019). Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater. Language, 95(1), e109 - e114. doi:10.1353/lan.2019.0017. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/44x782pc (2019)
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Quantitatively Assessing the Development of Adjective Ordering Preferences Using Child-directed and Child-produced Speech Corpora
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In: Proceedings of the Society for Computation in Linguistics (2018)
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An argument from acquisition: Comparing English metrical stress representations by how learnable they are from child-directed speech
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In: LANGUAGE ACQUISITION, vol 24, iss 4 (2017)
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More Learnable Than Thou? Testing Metrical Phonology Representations with Chld-Directed Speech
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In: Pearl, Lisa; Ho, Timothy; & Detrano, Zephyr. (2014). More Learnable Than Thou? Testing Metrical Phonology Representations with Chld-Directed Speech. Proceedings of the 40th Annual Meeting of the Berkeley Linguistics Society, 40(40), 398 - 422. Retrieved from: http://www.escholarship.org/uc/item/8jz137q0 (2014)
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Bayesian inference as a viable cross-linguistic word segmentation strategy: It’s all about what’s useful
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In: Phillips, Lawrence; & Pearl, Lisa. (2014). Bayesian inference as a viable cross-linguistic word segmentation strategy: It’s all about what’s useful. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/48x18404 (2014)
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More learnable than thou? Testing metrical phonology representations with childdirected speech
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In: Annual Meeting of the Berkeley Linguistics Society; BLS 40: General and Special Sessions; 398-422 ; 2377-1666 ; 0363-2946 (2014)
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Syntactic Islands and Learning Biases: Combining Experimental Syntax and Computational Modeling to Investigate the Language Acquisition Problem
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In: Pearl, Lisa; & Sprouse, Jon. (2013). Syntactic Islands and Learning Biases: Combining Experimental Syntax and Computational Modeling to Investigate the Language Acquisition Problem. Language Acquisition, 20(1), 23 - 68. doi:10.1080/10489223.2012.738742. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1tf6r4cf (2013)
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