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Studying the role of expertise in poetry reading, we hypothesized that poets’ expert knowledge comprises genre-appropriate reading- and comprehension strategies that are reflected in distinct patterns of reading behavior.
We recorded eye movements while two groups of native speakers (n=10 each) read selected Russian poetry: an expert group of professional poets who read poetry daily, and a control group of novices who read poetry less than once a month. We conducted mixed-effects regression analyses to test for effects of group on first-fixation durations, first-pass gaze durations, and total reading times per word while controlling for lexical- and text variables.
First-fixation durations exclusively reflected lexical features, and total reading times reflected both lexical- and text variables; only first-pass gaze durations were additionally modulated by readers’ level of expertise. Whereas gaze durations of novice readers became faster as they progressed through the poems, and differed between line-final words and non-final ones, poets retained a steady pace of first-pass reading throughout the poems and within verse lines. Additionally, poets’ gaze durations were less sensitive to word length.
We conclude that readers’ level of expertise modulates the way they read poetry. Our findings support theories of literary comprehension that assume distinct processing modes which emerge from prior experience with literary texts.
This study aims to establish what lexical factors make it more likely for dictionary users to consult specific articles in a dictionary using the English Wiktionary log files, which include records of user visits over the course of 6 years. Recent findings suggest that lexical frequency is a significant factor predicting look-up behavior, with the more frequent words being more likely to be consulted. Three further lexical factors are brought into focus: (1) age of acquisition; (2) lexical prevalence; and (3) degree of polysemy operationalized as the number of dictionary senses. Age of acquisition and lexical prevalence data were obtained from recent published studies and linked to the list of visited Wiktionary lemmas, whereas polysemy status was derived from Wiktionary entries themselves. Regression modeling confirms the significance of corpus frequency in explaining user interest in looking up words in the dictionary. However, the remaining three factors also make a contribution whose nature is discussed and interpreted. Knowing what makes dictionary users look up words is both theoretically interesting and practically useful to lexicographers, telling them which lexical items should be prioritized in lexicographic work.
We investigate the optional omission of the infinitival marker in a Swedish future tense construction. During the last two decades the frequency of omission has been rapidly increasing, and this process has received considerable attention in the literature. We test whether the knowledge which has been accumulated can yield accurate predictions of language variation and change. We extracted all occurrences of the construction from a very large collection of corpora. The dataset was automatically annotated with language-internal predictors which have previously been shown or hypothesized to affect the variation. We trained several models in order to make two kinds of predictions: whether the marker will be omitted in a specific utterance and how large the proportion of omissions will be for a given time period. For most of the approaches we tried, we were not able to achieve a better-than-baseline performance. The only exception was predicting the proportion of omissions using autoregressive integrated moving average models for one-step-ahead forecast, and in this case time was the only predictor that mattered. Our data suggest that most of the language-internal predictors do have some effect on the variation, but the effect is not strong enough to yield reliable predictions.
Dieses Kapitel untersucht die Stellung adnominaler Genitive im Deutschen. Die Stellungsvariation besteht fast ausschließlich für artikellose Eigennamen, weshalb diese im Zentrum der Analyse stehen. Auf Basis von Korpusdaten kann gezeigt werden, dass die Faktoren Belebtheit und Länge des Attributs sowie Kasus der Gesamtphrase einen großen Teil der Variation erklären.
Our corpus study is concerned with subject-verb agreement in contemporary German, more precisely the variation in verb number. We focus on subjects consisting of noun phrases coordinated by the conjunction und (‘and’). In our samples, both nouns are in singular. Number resolution – i.e., plural verb despite of the singular nouns – can be regarded as the default choice in contemporary German. However, our data show that eliding the second determiner in the subject enhances the probability of using the singular verb. This ellipsis effect is highly significant in German and Austrian texts. It seems to be weaker in Swiss texts. Regression analyses reveal that the ellipsis effect is stronger than both the highly significant influence of subject individuation and the significant effect of subject agentivity.