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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Modeling the Acquisition of Phonological Interactions: Biases and Generalization Prickett, Brandon; Jarosz, Gaja In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021) BASE Show details 2 Learning syntacti parameter settings without triggers by assigning credit and blame Prickett, Brandon; Holladay, Kaden; Hucklebridge, Shay... In: CLS 55, 2019 : proceedings of the fifty-fifth annual meeting of the Chicago Linguistic Society (2020), S. 337-350 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 3 Learning Exceptionality and Variation with Lexically Scaled MaxEnt ... Hughto, Coral; Lamont, Andrew; Prickett, Brandon. - : University of Massachusetts Amherst, 2019 BASE Show details 4 Learning Exceptionality and Variation with Lexically Scaled MaxEnt Hughto, Coral; Lamont, Andrew; Prickett, Brandon; Jarosz, Gaja In: Proceedings of the Society for Computation in Linguistics (2019) Abstract: A growing body of research in phonology addresses the representation and learning of variable processes and exceptional, lexically conditioned processes. Linzen et al. (2013) present a MaxEnt model with additive lexical scales to account for data exhibiting both variation and exceptionality. In this paper, we implement a learning model for lexically scaled MaxEnt grammars which we show to be successful across a range of data containing patterns of variation and exceptionality. We also explore how the model's parameters and the rate of exceptionality in the data influence its performance and predictions for novel forms. Keyword: Computational Linguistics; Exceptionality; Learning; Maximum Entropy; Phonetics and Phonology; Phonology; Russiain; Variation URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1076&context=scil https://scholarworks.umass.edu/scil/vol2/iss1/11 BASE Hide details 5 Learning syntactic parameters without triggers by assigning credit and blame Prickett, Brandon; Holladay, Kaden; Hucklebridge, Shay... In: Joe Pater (2019) BASE Show details

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