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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 Page: 1 2 3 4 5...19 Hits 1 – 20 of 364 1 Non-local Phonological Processes as Multi-tiered Strictly Local Maps ... Burness, Phillip. - : Université d'Ottawa / University of Ottawa, 2022 BASE Show details 2 Non-local Phonological Processes as Multi-tiered Strictly Local Maps Burness, Phillip. - : Université d'Ottawa / University of Ottawa, 2022 BASE Show details 3 MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2022) Abstract: One of the major differences between MaxEnt Harmonic Grammar (Goldwater and Johnson, 2003) and Noisy Harmonic Grammar (Boersma and Pater, 2016) is that in MaxEnt harmonically bounded candidates are able to get some probability, whereas in most other constraint-based grammars they can never be output (Jesney, 2007). The probability given to harmonically bounded candidates is taken from other candidates, in some cases allowing Max- Ent to model grammars that subvert some of the universal implications that are true in NoisyHG (Anttila and Magri, 2018). Magri (2018) argues that the types of implicational universals that remain valid in MaxEnt are phonologically implausible, suggesting that Max- Ent overgenerates NoisyHG. However, recent work has shown that some of the possible grammars in a constraint based grammar may be unlikely to be observed because they are difficult to learn (Staubs, 2014; Stanton, 2016; Pater and Moreton, 2012; Hughto, 2019; O’Hara, 2021). Here, I show that grammars that give weight to harmonically bounded candidates are harder to learn than other grammars. With learnability applied, I claim that the typological predictions of MaxEnt and NoisyHG are in fact much more similar than they would seem based on the grammars alone. Keyword: Computational Linguistics; computational phonology; harmonically bounded; learning bias; MaxEnt; noisy harmonic grammar; Phonetics and Phonology; phonological learning; Typological Linguistics and Linguistic Diversity; typological overgeneration URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1252&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/24 BASE Hide details 4 Input and output locality and representation Chandlee, Jane; Jardine, Adam In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 43 ; 2397-1835 (2021) BASE Show details 5 Computational Perspectives on Phonological Constituency and Recursion Yu, Kristine M.. - 2021 BASE Show details 6 Modeling phonological interactions using recursive schemes Oakden, Christopher Donal (author); Jardine, Adam (chair); Akinlabi, Akinbiyi (member). - 2021 BASE Show details 7 Computational Perspectives on Phonological Constituency and Recursion Kristine M. Yu In: Catalan Journal of Linguistics, Vol 20 (2021) (2021) BASE Show details 8 A Method for Projecting Features from Observed Sets of Phonological Classes Mayer, Connor; Daland, Robert In: LINGUISTIC INQUIRY, vol 51, iss 4 (2020) BASE Show details 9 Eines computacionals per a la creació i explotació de corpus orals en català Garrido Almiñana, Juan M. In: Zeitschrift für Katalanistik. - Freiburg : Romanisches Seminar der Universität 33 (2020), 131-154 BLLDB Show details 10 Corpus phonetics for under-documented languages: a vowel harmony example Kempton, Timothy; Pearce, Mary. - 2020 BASE Show details 11 Frequency Matching Behavior in On-line MaxEnt Learners O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 12 Questioning to Resolve Transduction Problems Meinhardt, Eric; Mai, Anna; Bakovic, Eric... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 13 A Logical and Computational Methodology for Exploring Systems of Phonotactic Constraints Lambert, Dakotah; Rogers, James In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 14 Place and Position are Computationally Different O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 15 An Algorithm for Learning Phonological Classes from Distributional Similarity Mayer, Connor. - : eScholarship, University of California, 2018 In: Mayer, Connor. (2018). An Algorithm for Learning Phonological Classes from Distributional Similarity. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/5jp6q2xn (2018) BASE Show details 16 Learning Both Variability and Exceptionality in Probabilistic OT Grammars Nazarov, Aleksei In: Proceedings of the Society for Computation in Linguistics (2018) BASE Show details 17 Investigating the Consequences of Iterated Learning in Phonological Typology Hughto, Coral In: Proceedings of the Society for Computation in Linguistics (2018) BASE Show details 18 Long-distance consonant agreement and subsequentiality Luo, Huan In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 52 ; 2397-1835 (2017) BASE Show details 19 Cross-language forced alignment to assist community-based linguistics for low resource languages Kempton, Timothy. - 2017 BASE Show details 20 Gradient Exceptionality in Maximum Entropy Grammar with Lexically Specific Constraints Moore-Cantwell, Claire; Pater, Joe. - 2016 BASE Show details Page: 1 2 3 4 5...19

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