Silence after narratives by patients in psychodynamic psychotherapy: a conversation analytic study.

In psychotherapy, verbal communication is central to the therapeutic process. However, when patients remain silent, it can serve various functions, such as reflecting more deeply or hesitating to elaborate on a topic. This article uses conversation analysis to examine a specific context in which silence occurs: After a patient has concluded his/her narrative, both the therapist and the patient resist the turn allocation by the respective other, resulting in mutual silence.

Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language Complexity.

In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent criticisms of my analyses, showing that the points raised by my critics were already explicitly considered and analysed in my original work. Furthermore, I show that the proposed alternative analyses fail to withstand detailed examination.

Word frequency and cognitive effort in turns-at-talk: turn structure affects processing load in natural conversation.

Frequency distributions are known to widely affect psycholinguistic processes. The effects of word frequency in turns-at-talk, the nucleus of social action in conversation, have, by contrast, been largely neglected. This study probes into this gap by applying corpus-linguistic methods on the conversational component of the British National Corpus (BNC) and the Freiburg Multimodal Interaction Corpus (FreMIC).

"Now once again this idea of yours (…) how does it sound when I say that?" - Changing the perspective: how coach's questioning practices elicit self-reflecting processes in clients.

Drawing upon the transformative power of questions, the paper investigates questioning sequences from authentic coaching data to examine the systematic use of a particular succession of formulation and question and its impact on inviting self-reflection processes in the client and eliciting change. The object of investigation in this paper are therefore questioning sequences in which a coach asks a question immediately after a rephrasing or relocating action, prompting the client to respond in an explicit or implicit way. The coach hereby shifts the focus to a hypothetical scenario, prompting the client to change her perspective on the matter and reflect on her own statements, ideas and attitudes from an outside perspective.

Some students are more equal: Performance in Author Recognition Test and Title Recognition Test modulated by print exposure and academic background.

Reading is a key skill for university students. The Author Recognition Test (ART) and the Title Recognition Test (TRT) have both been used for decades to measure print exposure which correlates with reading and other linguistic skills. Given the available evidence for interindividual differences in reading skills, this study addresses three open issues.

Parallelisms and deviations: two fundamentals of an aesthetics of poetic diction.

Poetic diction routinely involves two complementary classes of features: (i) parallelisms, i.e. repetitive patterns (rhyme, metre, alliteration, etc.

Languages with more speakers tend to be harder to (machine-)learn.

Computational language models (LMs), most notably exemplified by the widespread success of OpenAI's ChatGPT chatbot, show impressive performance on a wide range of linguistic tasks, thus providing cognitive science and linguistics with a computational working model to empirically study different aspects of human language. Here, we use LMs to test the hypothesis that languages with more speakers tend to be easier to learn. In two experiments, we train several LMs-ranging from very simple n-gram models to state-of-the-art deep neural networks-on written cross-linguistic corpus data covering 1293 different languages and statistically estimate learning difficulty.

Conditionals in context: Brain signatures of prediction in discourse processing.

Comprehenders are known to generate expectations about upcoming linguistic input at the sentence and discourse level. However, most previous studies on prediction focused mainly on word-induced brain activity rather than examining neural activity preceding a critical stimulus in discourse processing, where prediction actually takes place. In this EEG study, participants were presented with multiple sentences resembling a discourse including conditional sentences with either only if or if, which are characterized by different semantics, triggering stronger or weaker predictions about the possible continuation of the presented discourses, respectively.

A large quantitative analysis of written language challenges the idea that all languages are equally complex.

One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than 6500 different documents as represented in 41 multilingual text collections consisting of ~ 3.

Is More Always Better? Testing the Addition Bias for German Language Statistics.

This replication study aims to investigate a potential bias toward addition in the German language, building upon previous findings of Winter and colleagues who identified a similar bias in English. Our results confirm a bias in word frequencies and binomial expressions, aligning with these previous findings. However, the analysis of distributional semantics based on word vectors did not yield consistent results for German.

Shared cross-cultural principles underlie human prosocial behavior at the smallest scale.

Prosociality and cooperation are key to what makes us human. But different cultural norms can shape our evolved capacities for interaction, leading to differences in social relations. How people share resources has been found to vary across cultures, particularly when stakes are high and when interactions are anonymous.

Testing the Relationship between Word Length, Frequency, and Predictability Based on the German Reference Corpus.

In a recent article, Meylan and Griffiths (Meylan & Griffiths, 2021, henceforth, M&G) focus their attention on the significant methodological challenges that can arise when using large-scale linguistic corpora. To this end, M&G revisit a well-known result of Piantadosi, Tily, and Gibson (2011, henceforth, PT&G) who argue that average information content is a better predictor of word length than word frequency. We applaud M&G who conducted a very important study that should be read by any researcher interested in working with large-scale corpora.

Positioning Shifts From Told Self to Performative Self in Psychotherapy.

According to Positioning Theory, participants in narrative interaction can position themselves on a representational level concerning the autobiographical, told self, and a performative level concerning the interactive and emotional self of the tellers. The performative self is usually much harder to pin down, because it is a non-propositional, enacted self. In contrast to everyday interaction, psychotherapists regularly topicalize the performative self explicitly.

Elderspeak in Acute Hospitals? The Role of Context, Cognitive and Functional Impairment.

Older adults are often exposed to elderspeak, a specialized speech register linked with negative outcomes. However, previous research has mainly been conducted in nursing homes without considering multiple contextual conditions. Based on a novel contextually-driven framework, we examined elderspeak in an acute general versus geriatric German hospital setting.

A non-parametric significance test to compare corpora.

Classical null hypothesis significance tests are not appropriate in corpus linguistics, because the randomness assumption underlying these testing procedures is not fulfilled. Nevertheless, there are numerous scenarios where it would be beneficial to have some kind of test in order to judge the relevance of a result (e.g.