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1
Language Acquisition with Echo State Networks: Towards Unsupervised Learning
Dinh, Thanh Trung
;
Hinaut, Xavier
In: ICDL 2020 - IEEE International Conference on Development and Learning ; https://hal.inria.fr/hal-02926613 ; ICDL 2020 - IEEE International Conference on Development and Learning, Oct 2020, Valparaiso / Virtual, Chile (2020)
Abstract:
International audience ; The modeling of children language acquisition with robots is a long quest paved with pitfalls. Recently a sentence parsing model learning in cross-situational conditions has been proposed: it learns from the robot visual representations. The model, based on random recurrent neural networks (i.e. reservoirs), can achieve significant performance after few hundreds of training examples, more quickly that what a theoretical model could do. In this study, we investigate the developmental plausibility of such model: (i) if it can learn to generalize from single-object sentence to double-object sentence; (ii) if it can use more plausible representations: (ii.a) inputs as sequence of phonemes (instead of words) and (ii.b) outputs fully independent from sentence structure (in order to enable purely unsupervised cross-situational learning). Interestingly, tasks (i) and (ii.a) are solved in a straightforward fashion, whereas task (ii.b) suggest that that learning with tensor representations is a more difficult task
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
;
[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]
;
Concept formation and symbol grounding/emergence
;
Cross-Situational learning
;
Echo State Networks
;
Language acquisition
;
Language and semantic reasoning
;
Language Learning
;
Reservoir Computing
;
Robot
;
Unsupervised Learning
URL:
https://hal.inria.fr/hal-02926613
https://hal.inria.fr/hal-02926613/document
https://hal.inria.fr/hal-02926613/file/LanguageLearningICDL2020_with-supmat.pdf
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