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Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage; its poetic genres impose unique combinatory constraints on linguistic elements. How does the constrained poetic structure facilitate speech segmentation when common linguistic and statistical cues are unreliable to listeners in poems? We generated artificial Jueju, which arguably has the most constrained structure in ancient Chinese poetry, and presented each poem twice as an isochronous sequence of syllables to native Mandarin speakers while conducting magnetoencephalography (MEG) recording. We found that listeners deployed their prior knowledge of Jueju to build the line structure and to establish the conceptual flow of Jueju. Unprecedentedly, we found a phase precession phenomenon indicating predictive processes of speech segmentation—the neural phase advanced faster after listeners acquired knowledge of incoming speech. The statistical co-occurrence of monosyllabic words in Jueju negatively correlated with speech segmentation, which provides an alternative perspective on how statistical cues facilitate speech segmentation. Our findings suggest that constrained poetic structures serve as a temporal map for listeners to group speech contents and to predict incoming speech signals. Listeners can parse speech streams by using not only grammatical and statistical cues but also their prior knowledge of the form of language.
This study examines asymmetries between so-called inherent and contextual categories in relation to the morphological complexity of the nominal and verbal inflectional domain of languages. The observations are traced back to the influence of adult L2 learning in scenarios of intense language contact. A method for a simple comparison of the amount of inherent versus contextual categories is proposed and applied to the German-based creole language Unserdeutsch (Rabaul Creole German) in comparison to its lexifier language. The same procedure will be applied to two further language pairs. The grammatical systems of Unserdeutsch and other contact languages display a noticeable asymmetry regarding their structural complexity. Analysing different kinds of evidence, the explanatory key factor seems to be the role of (adult) L2 acquisition in the history of a language, whereby languages with periods of widespread L2 acquisition tend to lose contextual features. This impression is reinforced by general tendencies in pidgin and creole languages. Beyond that, there seems to be a tendency for inherent categories to be more strongly associated with the verb, while contextual categories seem to be more strongly associated with the noun. This leads to an asymmetry in categorical complexity between the noun phrase and the verb phrase in languages that experienced periods of intense L2 learning.
As immigration and mobility increases, so do interactions between people from different linguistic backgrounds. Yet while linguistic diversity offers many benefits, it also comes with a number of challenges. In seven empirical articles and one commentary, this Special Issue addresses some of the most significant language challenges facing researchers in the 21st century: the power language has to form and perpetuate stereotypes, the contribution language makes to intersectional identities, and the role of language in shaping intergroup relations. By presenting work that aims to shed light on some of these issues, the goal of this Special Issue is to (a) highlight language as integral to social processes and (b) inspire researchers to address the challenges we face. To keep pace with the world’s constantly evolving linguistic landscape, it is essential that we make progress toward harnessing language’s power in ways that benefit 21st century globalized societies.
Nonnative-accented speakers face prevalent discrimination. The assumption that people freely express negative sentiments toward nonnative speakers has also guided common research methods. However, recent studies did not consistently find downgrading, so that prejudice against nonnative accents might even be questioned at first sight. The present theoretical article will bridge these contradictory findings in three ways: (a) We illustrate that nonnative speakers with foreign accents frequently may not be downgraded in commonly used first-impression and employment scenario paradigms. It appears that relatively controlled responding may be influenced by norms and motivations to respond without prejudice, whereas negative biases emerge in spontaneous responding. (b) We present an integrative view based on knowledge on modern forms of prejudice to develop modern notions of accent-ism, which allow for predictions when accent biases are (not) likely to surface. (c) We conclude with implications for interventions and a tailored research agenda.
In this Paper, we describe a schema and models which have been developed for the representation of corpora of computer-mediated communicatin (CMC corpora) using the representation framework provided by the Text Encoding Initiative (TEI). We characterise CMC discourse as dialogic, sequentially organised interchange between humans and point out that many features of CMC are not adequately handled by current corpus encoding schemas and tools. We formulate desiderata for a representation of CMC in encoding schemes and argue why the TEI is a suitable framework for the encoding of CMC corpora. We propose a model of basic CMC units (utterances, posts, and nonverbal activities) and the macro- and micro-level structures of interactions in CMC environments. Based on these models, we introduce CMC-core, a TEI customisation for the encoding of CMC corpora, which defines CMC-specific encoding features on the four levels of elements, model classes, attribute classes, and modules of the TEI infrastructure. The description of our customisation is illustrated by encoding examples from corpora by researchers of the TEI SIG CMC, representing a variety of CMC genres, i.e. chat, wiki talk, twitter, blog, and Second Life interactions. The material described, i.e. schemata, encoding examples, and documentation, is available from the of the TEI CMC SIG Wiki and will accompany a feature request to the TEI council in late 2019.
Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored diferences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fuency tasks (‘animals’, ‘human feature’, ‘verbs’, ‘r-words’) via curve ftting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n=39), participants with ASD (n=32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without afecting strength of associations or content.
This article makes an empirical and a methodological contribution to the comparative study of action. The empirical contribution is a comparative study of three distinct types of action regularly accomplished with the turn format du meinst x (“you mean/think x”) in German: candidate understandings, formulations of the other’s mind, and requests for a judgment. These empirical materials are the basis for a methodological exploration of different levels of researcher abstraction in the comparative study of action. Two levels are examined: the (coarser) level of conditionally relevant responses (what a response speaker must do to align with the action of the prior turn) and the (finer) level of “full alignment” (what a response speaker can do to align with the action of a prior turn). Both levels of abstraction provide empirically viable and analytically interesting descriptive concepts for the comparative study of action. Data are in German.
In diesem Beitrag stellen wir die Ergebnisse einer Studie über die Intonation von Frageaktivitäten in deutschen Alltagsgesprächen vor. Unsere Untersuchung erforscht, inwieweit die Intonation zur Kontextualisierung von konversationellen Fragen beiträgt. In der Analyse stützen wir uns auf das autosegmental-metrische Modell von Peters und das taxonomische Modell der interaktionalen Prosodieforschung von Selting. Diese Modelle beschreiben jeweils phonologische oder pragmatische Aspekte der Frageintonation, zwei Dimensionen, die für sich genommen, keine vollständige Beschreibung liefern können. Auf der Grundlage authentischer Gesprächsdaten aus dem Korpus FOLK argumentieren wir für die Kompatibilität des autosegmental-metrischen Modells von Peters und des taxonomischen Modells der Frageintonation von Selting. Die Merkmale aus beiden Modellen lassen sich zu Bündeln kombinieren, die es erlauben, die Intonation von Fragen zu erfassen.
To ensure short gaps between turns in conversation, next speakers regularly start planning their utterance in overlap with the incoming turn. Three experiments investigate which stages of utterance planning are executed in overlap. E1 establishes effects of associative and phonological relatedness of pictures and words in a switch-task from picture naming to lexical decision. E2 focuses on effects of phonological relatedness and investigates potential shifts in the time-course of production planning during background speech. E3 required participants to verbally answer questions as a base task. In critical trials, however, participants switched to visual lexical decision just after they began planning their answer. The task-switch was time-locked to participants' gaze for response planning. Results show that word form encoding is done as early as possible and not postponed until the end of the incoming turn. Hence, planning a response during the incoming turn is executed at least until word form activation.