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Twenty years of statistical learning: from language, back to machine learning

Author

Listed:
  • Toni Cunillera

    (Universitat de Barcelona)

  • Georgina Guilera

    (University of Barcelona)

Abstract

Twenty years ago, Saffran et al. (Science 274:1926–1928, 1996) published a paper in the prestigious journal Science, proposing statistical learning as a key learning process to explain how infants acquire their first words. The current paper presents an overview of how this publication has impacted the scientific community under a bibliometric perspective. Documents citing that paper were searched on the Web of Science Core Collection. Its evolution over time has been analyzed, most productive journals and subject areas have been identified, and a keywords co-occurrence map has been created. Results show that statistical learning has spread widely around scientific areas out of Linguistics and Psychology, and has aroused the interest of researchers from other related areas such as Rehabilitation or Education and Educational Research.

Suggested Citation

  • Toni Cunillera & Georgina Guilera, 2018. "Twenty years of statistical learning: from language, back to machine learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 1-8, October.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2856-x
    DOI: 10.1007/s11192-018-2856-x
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    References listed on IDEAS

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    1. Nees Jan Eck & Ludo Waltman & Ed C. M. Noyons & Reindert K. Buter, 2010. "Automatic term identification for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 581-596, March.
    2. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    3. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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