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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 Hits 1 – 20 of 65 1 Non-adjacent dependency learning over consonants & vowels in 8- to 10-month-olds ... Weyers, Ivonne. - : Open Science Framework, 2021 BASE Show details 2 Elucidating an implicit learning network in healthy adults during artificial grammar tasks Cote, Kaila E In: Master's Theses and Capstones (2021) BASE Show details 3 Information flow, artificial phonology and typology Gafos, Adamantios In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 4 Perceptual saliency, lenition, and learnability: An artificial grammar learning study Sturman, Bethany Christine. - : eScholarship, University of California, 2020 BASE Show details 5 A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics Wainselboim, Alejandro Javier; Rizzi, Silvio; Dematties, Dario... In: Computer Science: Faculty Publications and Other Works (2020) BASE Show details 6 Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions Panesar, Kulvinder. - : Universitat Politècnica de València, 2020 BASE Show details 7 Bias in Phonotactic Learning: Experimental Studies of Phonotactic Implicationals Glewwe, Eleanor. - : eScholarship, University of California, 2019 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) BASE Show details 8 Inductive learning of locality relations in segmental phonology McMullin, Kevin; Hansson, Gunnar Ólafur In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 10, No 1 (2019); 14 ; 1868-6354 (2019) BASE Show details 9 A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Zenodo, 2019 BASE Show details 10 A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Zenodo, 2019 BASE Show details 11 A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.; Wainselboim, Alejandro Javier; Zanutto, Bonifacio Silvano; Perez, Mauricio D.. - : Zenodo, 2019 Abstract: The file Corpora.txt keeps the corpus used to train the model and the different instances of the classifier. It is basically a text file with one sentence per line from the original corpus called test.tsv available at https://github.com/google-research-datasets/wiki-split.git. We eliminated punctuation marks and special characters from the original file putting each sentence per line. Enju_Output.txt holds the outputs generated by Enju in -so mode (Output in stand-off format) using Corpora.txt as input. This file has basically a natural language English per-sentence parse with a wide-coverage probabilistic for HPSG grammar. The file Supervision.txt keeps the grammatical tags of the corpus. This file holds a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file Word_Category.txt carries the coarse-grained word category information needed by the model and introduced in it by apical ... Keyword: bioinspired computational models; brain-inspired artificial neural networks; computational linguistics; cortical dynamics; grammar classification; grammar emergence; natural language processing; online sentence processing; semantic clustering; unsupervised learning URL: https://zenodo.org/record/3653180 https://dx.doi.org/10.5281/zenodo.3653180 BASE Hide details 12 The role of auditory perceptual gestalts on the processing of phrase structure ... Trotter, Tony. - : Lancaster University, 2019 BASE Show details 13 The ambiguous status of laryngeals in nasal vowel-consonant harmony Lin, Yu-Leng In: Toronto Working Papers in Linguistics; Vol 40 (2018): Special issue from the CRC-sponsored phonology/phonetics workshops ; 1718-3510 ; 1705-8619 (2018) BASE Show details 14 On the Relation between Phonotactic Learning and Alternation Learning Chong, Junxiang Adam. - : eScholarship, University of California, 2017 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) BASE Show details 15 Eye-movements in implicit artificial grammar learning Silva, Susana; Inácio, Filomena; Folia, Vasiliki. - : American Psychological Association, 2017 BASE Show details 16 It Doesn't Hurt to Try: The Impact of a Search for Structure in Artificial Grammar Learning Dubois, Michael Paul. - 2017 BASE Show details 17 A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet Virk, Shafqat Mumtaz; Muller, Philippe; Conrath, Juliette 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) BASE Show details 18 Simple K-star Categorial Dependency Grammars and their Inference Béchet, Denis; Foret, Annie 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) BASE Show details 19 Surface Realisation from Knowledge Bases ; Bases de Connaissances et Réalisation de Surface Gyawali, Bikash. - : HAL CCSD, 2016 In: https://hal.inria.fr/tel-01754499 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0004⟩ (2016) BASE Show details 20 What Matters in Artificial Learning, Sonority Hierarchy or Natural Classes? Lin, Yu-Leng In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2015 Annual Meeting on Phonology ; 2377-3324 (2016) BASE Show details Page: 1 2 3 4

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