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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 Hits 1 – 5 of 5 1 Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech Pedrelli, Luca; Hinaut, Xavier In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021) BASE Show details 2 Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling Juven, Alexis; Hinaut, Xavier In: 2020 International Joint Conference on Neural Networks (IJCNN 2020) ; https://hal.inria.fr/hal-02594725 ; 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom ; https://wcci2020.org/ (2020) BASE Show details 3 Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech Pedrelli, Luca; Hinaut, Xavier In: 2020 International Joint Conference on Neural Networks (IJCNN 2020) ; https://hal.inria.fr/hal-02594495 ; 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom ; https://wcci2020.org/ (2020) BASE Show details 4 A Reservoir Model for Intra-Sentential Code-Switching Comprehension in French and English Detraz, Pauline; Hinaut, Xavier In: CogSci'19 - 41st Annual Meeting of the Cognitive Science Society ; https://hal.inria.fr/hal-02432831 ; CogSci'19 - 41st Annual Meeting of the Cognitive Science Society, Jul 2019, Montréal, Canada ; https://cognitivesciencesociety.org/cogsci-2019/ (2019) Abstract: International audience ; Some people can mix two languages within the same sentence: this is known as intra-sentential code-switching. The majority of computational models on language comprehen- sion are dedicated to one language. Some bilingual models have also been developed, but very few have explored the code-switching case. We collected data from human subjects that were required to mix pairs of given sentences in French and English. Truly bilingual subjects produced more switches within the same sentence. The corpus obtained have some very complex mixed sentences: there can be until eleven language switches within the same sentence. Then, we trained ResPars, a Reservoir-based sentence Parsing model, with the collected corpus. This Recurrent Neural Network model processes sen- tences incrementally, word by word, and outputs the sentence meaning (i.e. thematic roles). Surprisingly the model is able to learn and generalize on the mixed corpus with performances nearly as good as the unmixed French-English corpus. Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [SCCO.LING]Cognitive science/Linguistics; [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]; Basal Ganglia; Bilingual; Code-Switching; Corpus; Echo State Networks; English; ESN; French; Language Comprehension; Model; Prefrontal Cortex; Recurrent Neural Networks; Reservoir Computing; Sentence Parsing URL: https://hal.inria.fr/hal-02432831 BASE Hide details 5 On-Line Processing of Grammatical Structure Using Reservoir Computing Hinaut, Xavier; Dominey, Peter In: In A. E. P. Villa, et al.: Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks ; https://hal.inria.fr/hal-02561301 ; In A. E. P. Villa, et al.: Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Sep 2012, Lausanne, Switzerland. pp.596-603, ⟨10.1007/978-3-642-33269-2_75⟩ (2012) BASE Show details

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