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

Toni Cunillera () and Georgina Guilera
Additional contact information
Toni Cunillera: Universitat de Barcelona
Georgina Guilera: University of Barcelona

Scientometrics, 2018, vol. 117, issue 1, No 1, 8 pages

Abstract: 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.

Keywords: Statistical learning; Language; Psychology; Bibliometrics (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-2856-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2856-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-018-2856-x

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().