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"publishedYear" : 2013, "abstractText" : "Our paper is an attempt to indicate the relevance of information theoretical accounts\nto understand word recognition and morphological processing in Hungarian, along with other\nstudies using more traditional predictors like linear position and morphological composition.\nThe first two experiments were gating studies. The effect of the decision points was only\nevident in frequent words. The correct recognition means for the recognition points differ\nfrom the means for one-before-recognition points, indicating that the recognition point\nfollows a sudden drop of the entropy value. This shows how entropy measures can be used to\npredict word recognition in actual language performance. The next two experiments examined\nthe word reconstruction effect. A clear bathtub effect (Aitchison, 1987) was obtained:\nreconstruction was highest in the cases where both the beginning and the end were correct.\nThe last, lexical decision based study used four basic morphological types of markers (plural,\nsecond and first possessive) and three types of case (-nak,-ban-,-ra ‘DAT, INSIDE, ONTO).\nThe main effect of the frequency and the error type was significant. Frequent words were judged faster but less accurately, suggesting a trade-off. 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