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1
Input and output locality and representation
In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 43 ; 2397-1835 (2021)
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2
Plurality and quantification in graph representation of meaning
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3
Modeling phonological interactions using recursive schemes
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4
The Computational Similarity of Binding and Long-Distance Consonant Dissimilation
In: University of Pennsylvania Working Papers in Linguistics (2021)
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5
Melody learning and long-distance phonotactics in tone [<Journal>]
Jardine, Adam [Verfasser]
DNB Subject Category Language
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6
The Complexity of Optimizing Over Strictly Local Constraints
In: University of Pennsylvania Working Papers in Linguistics (2020)
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7
Quantifier-free tree transductions
In: Proceedings of the Society for Computation in Linguistics (2020)
Abstract: This work aims to extend quantifier-fee (QF) logical transductions, which over strings are equivalent to Input Strictly Local functions, to trees. While QF string transductions are defined with predecessor or successor functions and copy sets, we define QF tree transductions with parent functions and copy trees and consider transductions that preserve the asymmetric c-command relation. QF tree transductions are useful in capturing some transductions as exemplified by tier-construction for case assignment in Vu et al. (2019). Interestingly, they are incomparable to existing tree transducer classes such as bottom-up or top-down tree transducers.
Keyword: Computational Linguistics; logical transductions; syntax; tree transductions
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1131&context=scil
https://scholarworks.umass.edu/scil/vol3/iss1/49
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8
Representation and the Computation of Long Distance Tone Processes
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2019 Annual Meeting on Phonology ; 2377-3324 (2020)
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9
The computational nature of stress assignment
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2019 Annual Meeting on Phonology ; 2377-3324 (2020)
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10
Q-Theory Representations are Logically Equivalent to Autosegmental Representations
In: Proceedings of the Society for Computation in Linguistics (2019)
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11
How the Structure of the Constraint Space Enables Learning
In: Proceedings of the Society for Computation in Linguistics (2019)
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12
Autosegmental Input Strictly Local Functions
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 157-168 (2019) (2019)
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13
Tone Association and Output Locality in Non-Linear Structures
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2018 Annual Meeting on Phonology ; 2377-3324 (2019)
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14
Markedness constraints are negative: An autosegmental constraint definition language
In: Proceedings of the fifty-first (51.) annual meeting of the Chicago Linguistic Society (2016), S. 301-316
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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15
Learning Repairs for Marked Structures
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2014 Annual Meeting on Phonology ; 2377-3324 (2016)
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16
Very efficient learning of structured classes of subsequential functions from positive data
In: The 12th International Conference on Grammatical Inference ; https://hal.archives-ouvertes.fr/hal-01193057 ; The 12th International Conference on Grammatical Inference, Sep 2014, Kyoto, Japan. pp.94-108 ; http://jmlr.org/proceedings/papers/v34/ (2014)
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17
Learning Phonological Mappings by Learning Strictly Local Functions
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2013 Annual Meeting on Phonology ; 2377-3324 (2014)
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18
Logic and the Generative Power of Autosegmental Phonology
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2013 Annual Meeting on Phonology ; 2377-3324 (2014)
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