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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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| 5 |
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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| 6 |
A Quantitative Framework for Specifying Underlying Representations in Child Language Acquisition
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Abstract:
My research broadly demonstrates how quantitative approaches can be effectively leveraged for developmental research. In this dissertation, I show one quantitatively precise way to identify the nature of developing mental representations in a variety of domains; my approach utilizes the connection between a learners input, creation of a potential mental representation from that input, and evaluation with respect to the learners output. More specifically, the quantitative approach I use leverages both realistic input data and realistic output data as part of the model design and evaluation. Using modeling, we have the opportunity to concretely evaluate representational options that we would not otherwise be able to disambiguate. I demonstrate this quantitative approach with three case studies in language development: (I) the development of adjective ordering preferences, where I find that the representations that adults use to talk to children are different than the ones used to talk to other, adults, (II) immature individual syntactic category representations, where I identify precisely which immature category representation young children are likely to be using, and (III) the development of adult productive syntactic category representations, where I identify when adult category knowledge emerges in typically and atypically developing populations.
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Keyword:
Cognitive psychology; computational models; Developmental psychology; language development; Linguistics; quantitative framework
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URL: https://escholarship.org/uc/item/81r940x7
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| 7 |
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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| 8 |
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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| 9 |
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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| 10 |
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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| 11 |
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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| 13 |
THE ROLE OF INDIRECT POSITIVE EVIDENCE IN SYNTACTIC ACQUISITION: A LOOK AT ANAPHORIC ONE
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In: LANGUAGE, vol 92, iss 1 (2016)
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| 14 |
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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| 15 |
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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| 16 |
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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| 19 |
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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