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Non-adjacent dependency learning over consonants & vowels in 8- to 10-month-olds ...
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Elucidating an implicit learning network in healthy adults during artificial grammar tasks
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In: Master's Theses and Capstones (2021)
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Information flow, artificial phonology and typology
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Perceptual saliency, lenition, and learnability: An artificial grammar learning study
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
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In: Computer Science: Faculty Publications and Other Works (2020)
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Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions
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Bias in Phonotactic Learning: Experimental Studies of Phonotactic Implicationals
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In: Glewwe, Eleanor. (2019). Bias in Phonotactic Learning: Experimental Studies of Phonotactic Implicationals. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/4456s1j0 (2019)
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Inductive learning of locality relations in segmental phonology
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 10, No 1 (2019); 14 ; 1868-6354 (2019)
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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The role of auditory perceptual gestalts on the processing of phrase structure ...
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The ambiguous status of laryngeals in nasal vowel-consonant harmony
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In: Toronto Working Papers in Linguistics; Vol 40 (2018): Special issue from the CRC-sponsored phonology/phonetics workshops ; 1718-3510 ; 1705-8619 (2018)
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On the Relation between Phonotactic Learning and Alternation Learning
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In: Chong, Junxiang Adam. (2017). On the Relation between Phonotactic Learning and Alternation Learning. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/7235q340 (2017)
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It Doesn't Hurt to Try: The Impact of a Search for Structure in Artificial Grammar Learning
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A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet
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In: Proceedings of COLING 2016 ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01709130 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp. 3542-3552 (2016)
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Simple K-star Categorial Dependency Grammars and their Inference
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In: The 13th International Conference on Grammatical Inference (ICGI) ; https://hal.archives-ouvertes.fr/hal-01363393 ; The 13th International Conference on Grammatical Inference (ICGI), Oct 2016, Delft, Netherlands ; http://icgi2016.tudelft.nl/ (2016)
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Surface Realisation from Knowledge Bases ; Bases de Connaissances et Réalisation de Surface
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In: https://hal.inria.fr/tel-01754499 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0004⟩ (2016)
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What Matters in Artificial Learning, Sonority Hierarchy or Natural Classes?
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2015 Annual Meeting on Phonology ; 2377-3324 (2016)
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