Literature DB >> 15521803

Morphological family size in a morphologically rich language: the case of Finnish compared with Dutch and Hebrew.

Fermín Moscoso del Prado Martín1, Raymond Bertram, Tuomo Häikiö, Robert Schreuder, R Harald Baayen.   

Abstract

Finnish has a very productive morphology in which a stem can give rise to several thousand words. This study presents a visual lexical decision experiment addressing the processing consequences of the huge productivity of Finnish morphology. The authors observed that in Finnish words with larger morphological families elicited shorter response latencies. However, in contrast to Dutch and Hebrew, it is not the complete morphological family of a complex Finnish word that codetermines response latencies but only the subset of words directly derived from the complex word itself. Comparisons with parallel experiments using translation equivalents in Dutch and Hebrew showed substantial cross-language predictivity of family size between Finnish and Dutch but not between Finnish and Hebrew, reflecting the different ways in which the Hebrew and Finnish morphological systems contribute to the semantic organization of concepts in the mental lexicon. ((c) 2004 APA, all rights reserved).

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Year:  2004        PMID: 15521803     DOI: 10.1037/0278-7393.30.6.1271

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  8 in total

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3.  Sub- and supralexical information in early phases of lexical access.

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Authors:  Niels Janssen; Petra E Pajtas; Alfonso Caramazza
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5.  Must analysis of meaning follow analysis of form? A time course analysis.

Authors:  Laurie B Feldman; Petar Milin; Kit W Cho; Fermín Moscoso Del Prado Martín; Patrick A O'Connor
Journal:  Front Hum Neurosci       Date:  2015-03-11       Impact factor: 3.169

6.  Cross-language activation of morphological relatives in cognates: the role of orthographic overlap and task-related processing.

Authors:  Kimberley Mulder; Ton Dijkstra; R Harald Baayen
Journal:  Front Hum Neurosci       Date:  2015-02-02       Impact factor: 3.169

7.  Discrimination in lexical decision.

Authors:  Petar Milin; Laurie Beth Feldman; Michael Ramscar; Peter Hendrix; R Harald Baayen
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

8.  Statistical models of morphology predict eye-tracking measures during visual word recognition.

Authors:  Minna Lehtonen; Matti Varjokallio; Henna Kivikari; Annika Hultén; Sami Virpioja; Tero Hakala; Mikko Kurimo; Krista Lagus; Riitta Salmelin
Journal:  Mem Cognit       Date:  2019-10
  8 in total

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