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Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph
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In: Proceedings of LREC 2022 ; https://hal-amu.archives-ouvertes.fr/hal-03655636 ; Proceedings of LREC 2022, Jun 2022, Marseille, France (2022)
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A Critical Anaysis od David Hume's Theory of Justice as an Artificial Virtue
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In: Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric, Vol 20, Iss 1, Pp 9-32 (2022) (2022)
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8-month-old infants' ability to process word order is shaped by the amount of exposure
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://halshs.archives-ouvertes.fr/halshs-03185034 ; Cognition, Elsevier, In press (2021)
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Linking an Abstract Corpus Grammar to a Lexical Semantic Network
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In: https://hal.archives-ouvertes.fr/hal-03552630 ; [Research Report] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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Coupler syntaxe et sémantique dans une même base de connaissances linguistiques
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In: https://hal.archives-ouvertes.fr/hal-03552622 ; [Rapport de recherche] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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GA and ILS for optimizing the size of NFA models
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In: The 8th International Conference on Metaheuristics and Nature Inspired Computing (META) ; https://hal.univ-angers.fr/hal-03284541 ; The 8th International Conference on Metaheuristics and Nature Inspired Computing (META), Oct 2021, Marrakech, Morocco (2021)
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Abstract:
International audience ; Grammatical inference consists in learning a formal grammar (as a set of rewrite rules or a finite state machine). We are concerned with learning Nondeterministic Finite Automata (NFA) of a given size from samples of positive and negative words. NFA can naturally be modeled in SAT. The standard model [1] being enormous, we also try a model based on prefixes [2] which generates smaller instances. We also propose a new model based on suffixes and a hybrid model based on prefixes and suffixes. We then focus on optimizing the size of generated SAT instances issued from the hybrid models. We present two techniques to optimize this combination, one based on Iterated Local Search (ILS), the second one based on Genetic Algorithm (GA). Optimizing the combination significantly reduces the SAT instances and their solving time, but at the cost of longer generation time. We, therefore, study the balance between generation time and solving time thanks to some experimental comparisons, and we analyze our various model improvements.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; Constraint problem modeling; Grammar inference; model reformulation; NFA inference; SAT
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URL: https://hal.univ-angers.fr/hal-03284541 https://hal.univ-angers.fr/hal-03284541/file/Lardeux.pdf https://hal.univ-angers.fr/hal-03284541/document
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Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
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In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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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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Grammarly as AI-powered English Writing Assistant: Students’ Alternative for Writing English
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In: Metathesis: Journal of English Language, Literature, and Teaching; Vol 5, No 1 (2021): Metathesis: Journal of English Language, Literature, and Teaching; 65-78 ; 2580-2720 ; 2580-2712 ; 10.31002/metathesis.v5i1 (2021)
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Perceptual saliency, lenition, and learnability: An artificial grammar learning study
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Children’s Learning of a Semantics-Free Artificial Grammar with Center Embedding
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In: BIOLINGUISTICS; Vol. 14 (2020); 21-48 ; 1450-3417 (2020)
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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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Towards High-End Scalability on Bio-Inspired Computational Models
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In: Computer Science: Faculty Publications and Other Works (2020)
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Event related potentials at initial exposure in third language acquisition : Implications from an artificial mini-grammar study
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In: Journal of Neurolinguistics ; 56 (2020). - 100939. - Elsevier. - ISSN 0911-6044. - eISSN 1873-8052 (2020)
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