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1
Finite-state Model of Shupamem Reduplication ...
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2
Comment on “Nonadjacent dependency processing in monkeys, apes, and humans”
In: Sci Adv (2021)
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3
Strong Generative Capacity of Morphological Processes
In: Proceedings of the Society for Computation in Linguistics (2021)
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4
The study of word stress and accent : theories, methods and data
Goedemans, Rob (Herausgeber); Hulst, Harry van der (Herausgeber); Heinz, Jeffrey (Herausgeber). - Cambridge, United Kingdom : Cambridge University Press, 2019
BLLDB
UB Frankfurt Linguistik
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5
Dimensions of phonological stress
Goedemans, Rob (Herausgeber); Heinz, Jeffrey (Herausgeber); Hulst, Harry van der (Herausgeber). - Singapore : Cambridge University Press, 2019
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UB Frankfurt Linguistik
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6
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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7
How the Structure of the Constraint Space Enables Learning
In: Proceedings of the Society for Computation in Linguistics (2019)
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8
RedTyp: A Database of Reduplication with Computational Models
In: Proceedings of the Society for Computation in Linguistics (2019)
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9
The computational nature of phonological generalizations
In: Phonological typology (2018), S. 126-195
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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10
What Danish and Estonian Can Show to a Modern Word-Prosodic Typology
Kuznetsova, Natalia. - : Cambridge University Press, 2018. : country:GBR, 2018. : place:Cambridge (UK), 2018
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11
Statistical Relational Learning With Unconventional String Models
In: Front Robot AI (2018)
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12
A formal analysis of Correspondence Theory
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2016 Annual Meeting on Phonology ; 2377-3324 (2017)
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13
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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14
Efficiency in the Identification in the Limit Learning Paradigm
In: Topics in Grammatical Inference ; https://hal.archives-ouvertes.fr/hal-01399418 ; Jeffrey Heinz and José M. Sempere. Topics in Grammatical Inference, pp.25 - 46, 2016, 978-3-662-48395-4. ⟨10.1007/978-3-662-48395-4_2⟩ ; http://www.springer.com/la/book/9783662483930 (2016)
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15
One or many? In search of the default stress in Greek
Lengeris, Angelos; Revithiadou, Anthi. - : Cambridge University Press, 2016
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16
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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17
Output Strictly Local Functions
In: 14th Meeting on the Mathematics of Language ; https://hal.archives-ouvertes.fr/hal-01193051 ; 14th Meeting on the Mathematics of Language, Jul 2015, Chicago, United States. pp.112--125, ⟨10.3115/v1/W15-2310⟩ ; https://aclweb.org/anthology/W/W15/#2300 (2015)
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18
Learning Strictly Local Subsequential Functions
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01193047 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2014, 2, pp.491--503 ; https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/issue/view/8 (2014)
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19
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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20
Introduction to the Special Issue on Grammatical Inference
In: ISSN: 0885-6125 ; EISSN: 1573-0565 ; Machine Learning ; https://hal.archives-ouvertes.fr/hal-01087550 ; Machine Learning, Springer Verlag, 2014, 96 (1-2), pp.1-3 (2014)
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