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Although the N400 was originally discovered in a paradigm designed to elicit a P300 (Kutas and Hillyard, 1980), its relationship with the P300 and how both overlapping event-related potentials (ERPs) determine behavioral profiles is still elusive. Here we conducted an ERP (N = 20) and a multiple-response speed-accuracy tradeoff (SAT) experiment (N = 16) on distinct participant samples using an antonym paradigm (The opposite of black is white/nice/yellow with acceptability judgment). We hypothesized that SAT profiles incorporate processes of task-related decision-making (P300) and stimulus-related expectation violation (N400). We replicated previous ERP results (Roehm et al., 2007): in the correct condition (white), the expected target elicits a P300, while both expectation violations engender an N400 [reduced for related (yellow) vs. unrelated targets (nice)]. Using multivariate Bayesian mixed-effects models, we modeled the P300 and N400 responses simultaneously and found that correlation between residuals and subject-level random effects of each response window was minimal, suggesting that the components are largely independent. For the SAT data, we found that antonyms and unrelated targets had a similar slope (rate of increase in accuracy over time) and an asymptote at ceiling, while related targets showed both a lower slope and a lower asymptote, reaching only approximately 80% accuracy. Using a GLMM-based approach (Davidson and Martin, 2013), we modeled these dynamics using response time and condition as predictors. Replacing the predictor for condition with the averaged P300 and N400 amplitudes from the ERP experiment, we achieved identical model performance. We then examined the piecewise contribution of the P300 and N400 amplitudes with partial effects (see Hohenstein and Kliegl, 2015). Unsurprisingly, the P300 amplitude was the strongest contributor to the SAT-curve in the antonym condition and the N400 was the strongest contributor in the unrelated condition. In brief, this is the first demonstration of how overlapping ERP responses in one sample of participants predict behavioral SAT profiles of another sample. The P300 and N400 reflect two independent but interacting processes and the competition between these processes is reflected differently in behavioral parameters of speed and accuracy.
Preface
(2019)
This paper aims at investigating the usage of present subjunctive (Konjunktiv I), which is traditionally labelled as a feature of standard written language and therefore as typically occurring in communication genres based on it such as press texts and reporting, in everyday spoken German. Through an analysis of corpus data performed according to theory and method of Interactional Linguistics and encompassing private, institutional and public interactional domains, the paper will show how this particular verb form expresses different epistemic stances according to its syntactic embedment.
This paper focuses on so called syntactic projection phenomena in the German language. This term from the German Gesprächsforschung is used to define the fact that an utterance or part of it foreshadows another one. This paper aims at pointing out how such projection phenomena are consciously exploited for rhethorical purposes. This will be observed on the basis of excerpts from the Stuttgart 21 mediation talks. The linguistic analysis carried out in this paper will focus on syntactic projection phenomena involving the use of causal adverbial connectives deshalb and deswegen.
In this paper, we describe a data processing pipeline used for annotated spoken corpora of Uralic languages created in the INEL (Indigenous Northern Eurasian Languages) project. With this processing pipeline we convert the data into a loss-less standard format (ISO/TEI) for long-term preservation while simultaneously enabling a powerful search in this version of the data. For each corpus, the input we are working with is a set of files in EXMARaLDA XML format, which contain transcriptions, multimedia alignment, morpheme segmentation and other kinds of annotation. The first step of processing is the conversion of the data into a certain subset of TEI following the ISO standard ’Transcription of spoken language’ with the help of an XSL transformation. The primary purpose of this step is to obtain a representation of our data in a standard format, which will ensure its long-term accessibility. The second step is the conversion of the ISO/TEI files to a JSON format used by the “Tsakorpus” search platform. This step allows us to make the corpora available through a web-based search interface. As an addition, the existence of such a converter allows other spoken corpora with ISO/TEI annotation to be made accessible online in the future.
As the Web ought to be considered as a series of sources rather than as a source in itself, a problem facing corpus construction resides in meta-information and categorization. In addition, we need focused data to shed light on particular subfields of the digital public sphere. Blogs are relevant to that end, especially if the resulting web texts can be extracted along with metadata and made available in coherent and clearly describable collections.
Speech planning is a sophisticated process. In dialog, it regularly starts in overlap with an incoming turn by a conversation partner. We show that planning spoken responses in overlap with incoming turns is associated with higher processing load than planning in silence. In a dialogic experiment, participants took turns with a confederate describing lists of objects. The confederate’s utterances (to which participants responded) were pre-recorded and varied in whether they ended in a verb or an object noun and whether this ending was predictable or not. We found that response planning in overlap with sentence-final verbs evokes larger task-evoked pupillary responses, while end predictability had no effect. This finding indicates that planning in overlap leads to higher processing load for next speakers in dialog and that next speakers do not proactively modulate the time course of their response planning based on their predictions of turn endings. The turn-taking system exerts pressure on the language processing system by pushing speakers to plan in overlap despite the ensuing increase in processing load.
Since 2013 representatives of several French and German CMC corpus projects have developed three customizations of the TEI-P5 standard for text encoding in order to adapt the encoding schema and models provided by the TEI to the structural peculiarities of CMC discourse. Based on the three schema versions, a 4th version has been created which takes into account the experiences from encoding our corpora and which is specifically designed for the submission of a feature request to the TEI council. On our poster we would present the structure of this schema and its relations (commonalities and differences) to the previous schemas.
Wie werden Wörter im Deutschen und im Englischen geschrieben? Wo sind Gemeinsamkeiten, wo sind Unterschiede? Diese Fragen werden aus morphologisch-graphematischer Perspektive bearbeitet. Es geht hier also nicht um Bezüge zwischen Schrift und Lautform (traditionell oft im Fokus der Graphematik), sondern um Korrespondenzen zwischen Schrift und Morphologie. Das betrifft zum einen den Aufbau von Morphemen. Welche Beschränkungen lassen sich hier für die Abfolge der Buchstaben formulieren? Was sind minimale, was sind prototypische Stämme und Affixe? Zum anderen geht es um Fragen der Einheitlichkeit (Wie uniform wird ein Morphem in der Schrift repräsentiert?) und der Eindeutigkeit (Wie distinkt verweist eine Schreibung auf ein Morphem?). Insgesamt zeigt sich, dass im Englischen eher Affixe verlässlich kodiert werden (oft eindeutig und einheitlich), während im Deutschen häufig Stämme einheitlich kodiert werden. Das sind zwei grundsätzlich unterschiedliche Strategien der Leseerleichterung.
Most authors agree that modal particles - a dass of function words widely considered characteristic of Modem German - cannot receive prosodic stress, though the reasons for this restriction have not yet been satisfactorily explained. This paper argues that unstressability follows from the general contribution of modal particles to compositional utterance meaning, which requires them to take scope over focus-background structures. Form and function of modal particle meanings are modelled and illustrated for five representative examples - the particles wohl, ja, eigentlich, eben and halt. It is argued that these as well as other particles, whenever they occur under prosodic stress, cannot preserve the meaning nor the syntactic behaviour of modal particles. All instances of stressed particles in German must therefore be categorized in other functional classes.
Modern theoretical linguistics lives by the insight that the meanings of complex expressions derive from the meanings of their parts and the way these are composed. However, the currently dominating theories of the syntax-semantics interface hastily relegate important aspects of meaning which cannot readily be aligned with visible structure to empty projecting heads non-reductively (mainstream Generative Grammar) or to the syntactic construction holistically (Construction Grammar). This book develops an alternative, compositional analysis of the hidden aspectual-temporal, modal and comparative meanings of a range of productive constructions of which pseudorefl exive, excessive and directional complement constructions take center stage. Accordingly, a contradiction-inducing hence semantically problematic part of literally coded meaning is locally ignored and systematically realized „expatriately“ with respect to parts of structure that achieve the indexical anchoring of propositional contents in terms of times, worlds and standards of comparison, thus yielding the observed hidden meanings.
This contribution presents a quantitative approach to speech, thought and writing representation (ST&WR) and steps towards its automatic detection. Automatic detection is necessary for studying ST&WR in a large number of texts and thus identifying developments in form and usage over time and in different types of texts. The contribution summarizes results of a pilot study: First, it describes the manual annotation of a corpus of short narrative texts in relation to linguistic descriptions of ST&WR. Then, two different techniques of automatic detection – a rule-based and a machine learning approach – are described and compared. Evaluation of the results shows success with automatic detection, especially for direct and indirect ST&WR.
In this paper, we present our work-inprogress to automatically identify free indirect representation (FI), a type of thought representation used in literary texts. With a deep learning approach using contextual string embeddings, we achieve f1 scores between 0.45 and 0.5 (sentence-based evaluation for the FI category) on two very different German corpora, a clear improvement on earlier attempts for this task. We show how consistently marked direct speech can help in this task. In our evaluation, we also consider human inter-annotator scores and thus address measures of certainty for this difficult phenomenon.