This article provides a tutorial for analyzing pupillometric data. Pupil dilation has become increasingly popular in psychological and psycholinguistic research as a measure to trace language processing. However, there is no general consensus about procedures to analyze the data, with most studies analyzing extracted features from the pupil dilation data instead of analyzing the pupil dilation trajectories directly. Recent studies have started to apply nonlinear regression and other methods to analyze the pupil dilation trajectories directly, utilizing all available information in the continuously measured signal. This article applies a nonlinear regression analysis, generalized additive mixed modeling, and illustrates how to analyze the full-time course of the pupil dilation signal. The regression analysis is particularly suited for analyzing pupil dilation in the fields of psychological and psycholinguistic research because generalized additive mixed models can include complex nonlinear interactions for investigating the effects of properties of stimuli (e.g., formant frequency) or participants (e.g., working memory score) on the pupil dilation signal. To account for the variation due to participants and items, nonlinear random effects can be included. However, one of the challenges for analyzing time series data is dealing with the autocorrelation in the residuals, which is rather extreme for the pupillary signal. On the basis of simulations, we explain potential causes of this extreme autocorrelation, and on the basis of the experimental data, we show how to reduce their adverse effects, allowing a much more coherent interpretation of pupillary data than possible with feature-based techniques.

In this study, children, young adults and elderly adults were tested in production and comprehension tasks assessing referential choice. Our aims were (1) to determine whether speakers egocentrically base their referential choice on the preceding linguistic discourse or also take into account the perspective of a hypothetical listener and (2) whether the possible impact of perspective taking on referential choice changes with increasing age, with its associated changes in cognitive capacity. In the production task, participants described picture-based stories featuring two characters of the same gender, making it necessary to use unambiguous forms; in the comprehension task, participants interpreted potentially ambiguous pronouns at the end of similar orally presented stories. Young adults (aged 18–35) were highly sensitive to the informational needs of hypothetical conversational partners in their production and comprehension of referring expressions. In contrast, children (aged 4–7) did not take into account possible conversational partners and tended to use pronouns for all given referents, leading to the production of ambiguous pronouns that are unrecoverable for a listener. This was mirrored in the outcome of the comprehension task, where children were insensitive to the shift of discourse topic marked by the speaker. The elderly adults (aged 69–87) behaved differently from both young adults and children. They showed a clear sensitivity to the other person's perspective in both production and comprehension, but appeared to lack the necessary cognitive capacities to keep track of the prominence of discourse referents, producing more potentially ambiguous pronouns than young adults, though fewer than children. In conclusion then, referential choice seems to depend on perspective taking in language, which develops with increasing linguistic experience and cognitive capacity, but also on the ability to keep track of the prominence of discourse referents, which is gradually lost with older age.

SDF is a formalism for the definition of syntax which is comparable to BNF in some respects, but h_ as a wider scope in that it also covers the definition of lexical and abstract syntax. Its design and implementation are tailored towards the language designer who wants to develop new languages as well as implement existing ones in a highly interactive manner. It emphasizes comP,actness of syntax definitions by offering (a) a standard interface between lexical and context-free syntax; (b) a standard correspondence between context-free and abstract syntax; (c) pow~rful disambiguation and list constructs; and (d) an efficient incremental implementation which accepts arbitrary context-free syntax definitions. SDF can be combined with a variety of progr:amming and specification languages. In this way these obtain fully general user-definable syntax.

Many comprehension studies have shown that children as late as age 6 ; 6 misinterpret object pronouns as co-referring with the referential subject about half the time. A recent review of earlier experiments testing children's interpretation of object pronouns in sentences with quantified subjects (Elbourne, 2005) also suggests that there is a 'Pronoun Interpretation Problem'. In contrast, two experiments addressing English children's pronoun production (Bloom, Barss, Nicol & Conway, 1994; de Villiers, Cahillane & Altreuter, 2006) show almost perfect usage. The aim of this study is to verify this asymmetry between pronoun production and pronoun comprehension for Dutch, and to investigate the effects of coherent discourse and topicality on pronoun production and comprehension. Employing a truth-value judgment task and an elicited production task, this study indeed finds such an asymmetry in 83 Dutch children (age range 4 ; 5-6 ; 6). When object pronouns were clearly established as the topic of the target sentence, the Pronoun Interpretation Problem dissolved entirely. These results are compatible with the asymmetrical grammar hypothesis of Hendriks & Spenader (2005/2006) and suggest, contrary to many previous claims, that children are highly proficient at using pragmatic clues in interpretation.

In this paper we discuss a computational cognitive model of children's poor performance on pronoun interpretation (the so-called Delay of Principle B Effect, or DPBE). This cognitive model is based on a theoretical account that attributes the DPBE to children's inability as hearers to also take into account the speaker's perspective. The cognitive model predicts that child hearers are unable to do so because their speed of linguistic processing is too limited to perform this second step in interpretation. We tested this hypothesis empirically in a psycholinguistic study, in which we slowed down the speech rate to give children more time for interpretation, and in a computational simulation study. The results of the two studies confirm the predictions of our model. Moreover, these studies show that embedding a theory of linguistic competence in a cognitive architecture allows for the generation of detailed and testable predictions with respect to linguistic performance.