Fixation proportions of the German-Dutch bilinguals in Experiment 2.

<p>The data are plotted in the same way as for Experiment 1: Average fixation proportions to first (dotted lines), second (dashed lines) and result number (solid lines) for production (blue) and comprehension (red) conditions are shown. Fixations are plotted backwards from the offset of "is" in the recordings (time zero) to the onset of the first number. The first vertical dotted line represents the average onset of the second number. The areas shaded in gray represent the space in between the lower and upper bounds of the 95% by-participant confident intervals.</p

Inflectional complexity and experience affect plural processing in younger and older readers of Dutch and German

<p>According to dual-route models of morphological processing, regular inflections can be retrieved as whole-word forms or decomposed into morphemes. Baayen, Dijkstra, and Schreuder [(1997). Singulars and plurals in Dutch: Evidence for a parallel dual-route model. <i>Journal of Memory and Language</i>, <i>37</i>, 94–117. doi:10.1006/jmla.1997.2509] proposed a dual-route model in which singular-dominant plurals (“brides”) are decomposed, while plural-dominant plurals (“peas”) are accessed as whole-word units. We report two lexical-decision experiments investigating how plural processing is influenced by participants’ age and morphological complexity of the language (German/Dutch). For all Dutch participants and older German participants, we replicated the interaction between number and dominance reported by Baayen and colleagues. Younger German participants showed a main effect of number, indicating decomposition of all plurals. Access to stored forms seems to depend on morphological richness and experience with word forms. The data pattern fits neither full-decomposition nor full-storage models, but is compatible with dual-route models.</p

Scatterplots of the relationship between sustained attention and the tau of gaze durations.

<p>Tau of gaze durations presented separately for monosyllabic and disyllabic words separately in the single object task (monosyllabic panel A, disyllabic panel B) and the double object task (monosyllabic panel C, disyllabic panel D). Sustained attention is indexed by the mean RT on the digit discrimination task (DDT).</p

Scatterplots of the relationship between sustained attention and the tau of naming latencies.

<p>Tau of naming latencies presented separately for monosyllabic and disyllabic words separately in the single object task (monosyllabic panel A, disyllabic panel B) and the double object task (monosyllabic panel C, disyllabic panel D). Sustained attention is indexed by the mean RT on the digit discrimination task (DDT).</p

The production and generation effect in picture naming: How lexical access and articulation influence memory

Poster presented at EPS January meeting 2018 in Londo

Data_Sheet_1.pdf

<p>As conversation is the most important way of using language, linguists and psychologists should combine forces to investigate how interlocutors deal with the cognitive demands arising during conversation. Linguistic analyses of corpora of conversation are needed to understand the structure of conversations, and experimental work is indispensable for understanding the underlying cognitive processes. We argue that joint consideration of corpus and experimental data is most informative when the utterances elicited in a lab experiment match those extracted from a corpus in relevant ways. This requirement to compare like with like seems obvious but is not trivial to achieve. To illustrate this approach, we report two experiments where responses to polar (yes/no) questions were elicited in the lab and the response latencies were compared to gaps between polar questions and answers in a corpus of conversational speech. We found, as expected, that responses were given faster when they were easy to plan and planning could be initiated earlier than when they were harder to plan and planning was initiated later. Overall, in all but one condition, the latencies were longer than one would expect based on the analyses of corpus data. We discuss the implication of this partial match between the data sets and more generally how corpus and experimental data can best be combined in studies of conversation.</p