메뉴 건너뛰기




Volumn 24, Issue 4, 2011, Pages 311-320

Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network

Author keywords

Hierarchical linguistic structure; Language acquisition; Multiple timescale recurrent neural network; Self organization

Indexed keywords

CORRECTION PERFORMANCE; HIERARCHICAL STRUCTURES; INITIAL STATE; LANGUAGE ACQUISITION; LINGUISTIC STRUCTURE; MULTIPLE TIMESCALE RECURRENT NEURAL NETWORK; NEURAL ACTIVATION; SELF ORGANIZING; SELF-ORGANIZATION; SELF-ORGANIZED; TIME-SCALES;

EID: 79951944498     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2010.12.006     Document Type: Article
Times cited : (32)

References (25)
  • 4
    • 0000046043 scopus 로고    scopus 로고
    • Toward a connectionist model of recursion in human linguistic performance
    • Christiansen M.H., Chater N. Toward a connectionist model of recursion in human linguistic performance. Cognitive Science 1999, 23:157-205.
    • (1999) Cognitive Science , vol.23 , pp. 157-205
    • Christiansen, M.H.1    Chater, N.2
  • 7
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman J.L. Finding structure in time. Cognitive Science 1990, 14:179-211.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 8
    • 0001419757 scopus 로고
    • Distributed representations, simple recurrent networks, and grammatical structure
    • Elman J.L. Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning 1991, 7(2-3):195-225.
    • (1991) Machine Learning , vol.7 , Issue.2-3 , pp. 195-225
    • Elman, J.L.1
  • 9
    • 0027636611 scopus 로고
    • Learning and development in neural networks: the importance of starting small
    • Elman J.L. Learning and development in neural networks: the importance of starting small. Cognition 1993, 48(1):71-99.
    • (1993) Cognition , vol.48 , Issue.1 , pp. 71-99
    • Elman, J.L.1
  • 10
    • 0000894759 scopus 로고
    • Language as a dynamical system
    • MIT Press, Cambridge, MA, R. port, T. van Gelder (Eds.)
    • Elman J.L. Language as a dynamical system. Mind as motion: explorations in the dynamics of cognition 1995, 195-223. MIT Press, Cambridge, MA. R. port, T. van Gelder (Eds.).
    • (1995) Mind as motion: explorations in the dynamics of cognition , pp. 195-223
    • Elman, J.L.1
  • 11
    • 0001698763 scopus 로고    scopus 로고
    • Computational capabilities of local-feedback recurrent networks acting as finite-state machines
    • Frasconi P., Gori M. Computational capabilities of local-feedback recurrent networks acting as finite-state machines. IEEE Transactions on Neural Networks 1996, 7(6).
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.6
    • Frasconi, P.1    Gori, M.2
  • 12
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • Giles C.L., Miller C.B., Chen D., Chen H.H., Sun G.Z., Lee Y.C. Learning and extracting finite state automata with second-order recurrent neural networks. Neural Computation 1992, 4(3):393-405.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 393-405
    • Giles, C.L.1    Miller, C.B.2    Chen, D.3    Chen, H.H.4    Sun, G.Z.5    Lee, Y.C.6
  • 13
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 1982, 79:2554-2558.
    • (1982) Proceedings of the National Academy of Sciences , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 15
    • 77952290064 scopus 로고    scopus 로고
    • Learning to imitate stochastic time series in a compositional way by chaos
    • Namikawa J., Tani J. Learning to imitate stochastic time series in a compositional way by chaos. Neural Networks 2010, 23:625-638.
    • (2010) Neural Networks , vol.23 , pp. 625-638
    • Namikawa, J.1    Tani, J.2
  • 16
    • 51349107869 scopus 로고    scopus 로고
    • Two-way translation of compound sentences and arm motions by recurrent neural networks. In IEEE/RSJ international conference on intelligent robots and systems. IROS-2007
    • Ogata, T., Murase, M., Tani, J., Komatani, K., & Okuno, H. G. (2007). Two-way translation of compound sentences and arm motions by recurrent neural networks. In IEEE/RSJ international conference on intelligent robots and systems. IROS-2007 (pp. 1858-1863).
    • (2007) , pp. 1858-1863
    • Ogata, T.1    Murase, M.2    Tani, J.3    Komatani, K.4    Okuno, H.G.5
  • 17
    • 0001460434 scopus 로고
    • The induction of dynamical recognizers
    • Pollack J.B. The induction of dynamical recognizers. Machine Learning 1991, 7(2-3):227-252.
    • (1991) Machine Learning , vol.7 , Issue.2-3 , pp. 227-252
    • Pollack, J.B.1
  • 18
    • 0035462333 scopus 로고    scopus 로고
    • Simple recurrent networks learn context-free and context-sensitive languages by counting
    • Rodriguez P. Simple recurrent networks learn context-free and context-sensitive languages by counting. Neural Computation 2001, 13(9).
    • (2001) Neural Computation , vol.13 , Issue.9
    • Rodriguez, P.1
  • 19
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • MIT Press, D. Rumelhart, J. McClelland, R. Williams (Eds.)
    • Rumelhart D., Hinton G., Williams R. Learning internal representations by error propagation. Parallel distributed processing 1986, 318-362. MIT Press. D. Rumelhart, J. McClelland, R. Williams (Eds.).
    • (1986) Parallel distributed processing , pp. 318-362
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 20
    • 0000329993 scopus 로고
    • Information processing in dynamical systems: foundation of harmony theory
    • MIT Press, (Chapter 6), D. Rumelhart, J. McClelland, R. Williams (Eds.)
    • Smolensky P. Information processing in dynamical systems: foundation of harmony theory. Parallel distributed processing 1986, 194-281. MIT Press, (Chapter 6). D. Rumelhart, J. McClelland, R. Williams (Eds.).
    • (1986) Parallel distributed processing , pp. 194-281
    • Smolensky, P.1
  • 21
    • 84933480450 scopus 로고    scopus 로고
    • The synthetic modeling of language origins
    • Steels L. The synthetic modeling of language origins. Evolution of Communication 1997, 1(1):1-34.
    • (1997) Evolution of Communication , vol.1 , Issue.1 , pp. 1-34
    • Steels, L.1
  • 22
    • 26444444741 scopus 로고    scopus 로고
    • Learning semantic combinatoriality from the interaction between linguistic and behavioral processes
    • Sugita Y., Tani J. Learning semantic combinatoriality from the interaction between linguistic and behavioral processes. Adaptive Behavior 2005, 13(1):33-52.
    • (2005) Adaptive Behavior , vol.13 , Issue.1 , pp. 33-52
    • Sugita, Y.1    Tani, J.2
  • 24
    • 0000535025 scopus 로고
    • A PDP approach to processing center-embedded sentences. In Fourteenth annual conference of the cognitive science society. Routledge
    • Weckerly, J., & Elman, J. L. (1992). A PDP approach to processing center-embedded sentences. In Fourteenth annual conference of the cognitive science society. Vol. 14. Routledge (pp. 414-419).
    • (1992) , vol.14 , pp. 414-419
    • Weckerly, J.1    Elman, J.L.2
  • 25
    • 57149090913 scopus 로고    scopus 로고
    • Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment
    • Yamashita Y., Tani J. Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. PLoS Computational Biology 2008, 4.
    • (2008) PLoS Computational Biology , vol.4
    • Yamashita, Y.1    Tani, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.