Processing modifier-head agreement in long Finnish words: Evidence from eye movements
Processing modifier-head agreement in long Finnish words: Evidence from eye movements
Author(s): Seppo Vainio, Raymond Bertram, Anneli Pajunen, Jukka HyönäSubject(s): Morphology, Finno-Ugrian studies
Published by: Akadémiai Kiadó
Keywords: agreement; Finnish; morphology; sentence comprehension; eye movements;
Summary/Abstract: The present study investigates whether processing of an inflected Finnish noun is facilitated when preceded by a modifier in the same case ending. In Finnish, modifiers agree with their head nouns both in case and in number and the agreement is expressed by means of suffixes (e.g., vanha/ssa talo/ssa ‘old/in house/in’ → ‘in the old house’). Vainio et al. (2003; 2008) showed processing benefits for this kind of modifier-head agreement, when the head nouns were relatively short. However, the effect showed up relatively late in the processing stream, such that word n + 1, the word following the target noun talo/ssa, was read faster when it was preceded by an agreeing modifier (vanha/ssa) than when no modifier was present. This led Vainio et al. to the conclusion that agreement exerts its effect at a later stage, namely at the level of syntactic integration and not at the level of lexical access. The current study investigates whether the same holds when head nouns are considerably longer (e.g., kaupungin/talo/ssa ‘city house/in’ → ‘in the city hall’). Our results show that the effect of agreement is facilitative in case of longer head nouns as well, but—in contrast to what was found for shorter words—the effect not only appeared late, but was also observed in earlier processing measures. It thus seems that, in processing long words, benefits related to modifier-head agreement are not confined to post-lexical syntactic integration processes, but extend to lexical identification of the head.
Journal: Acta Linguistica Hungarica (Since 2017 Acta Linguistica Academica)
- Issue Year: 58/2011
- Issue No: 1
- Page Range: 134-156
- Page Count: 23
- Language: English