1,897 research outputs found

    Structuring information through gesture and intonation

    Get PDF
    Face-to-face communication is multimodal. In unscripted spoken discourse we can observe the interaction of several “semiotic layers”, modalities of information such as syntax, discourse structure, gesture, and intonation. We explore the role of gesture and intonation in structuring and aligning information in spoken discourse through a study of the co-occurrence of pitch accents and gestural apices. Metaphorical spatialization through gesture also plays a role in conveying the contextual relationships between the speaker, the government and other external forces in a naturally-occurring political speech setting

    Prosodic focus in Vietnamese

    Get PDF
    This paper reports on pilot work on the expression of Information Structure in Vietnamese and argues that Focus in Vietnamese is exclusively expressed prosodically: there are no specific focus markers, and the language uses phonology to express intonational emphasis in similar ways to languages like English or German. The exploratory data indicates that (i) focus is prosodically expressed while word order remains constant, (ii) listeners show good recoverability of the intended focus structure, and (iii) that there is a trading relationship between several phonetic parameters (duration, f0, amplitude) involved to signal prosodic (acoustic) emphasis

    Intonation in neurogenic foreign accent syndrome

    Get PDF
    Foreign accent syndrome (FAS) is a motor speech disorder in which changes to segmental as well as suprasegmental aspects lead to the perception of a foreign accent in speech. This paper focuses on one suprasegmental aspect, namely that of intonation. It provides an in-depth analysis of the intonation system of four speakers with FAS with the aim of establishing the intonational changes that have taken place as well as their underlying origin. Using the autosegmental-metrical framework of intonational analysis, four different levels of intonation, i.e. inventory, distribution, realisation and function, were examined. Results revealed that the speakers with FAS had the same structural inventory at their disposal as the control speakers, but that they differed from the latter in relation to the distribution, implementation and functional use of their inventory. In contrast to previous findings, the current results suggest that these intonational changes cannot be entirely attributed to an underlying intonation deficit but also reflect secondary manifestations of physiological constraints affecting speech support systems and compensatory strategies. These findings have implications for the debate surrounding intonational deficits in FAS, advocating a reconsideration of current assumptions regarding the underlying nature of intonation impairment in FAS

    Asymmetrical cognitive load Imposed by processing native and non-native speech

    Full text link
    Intonation affects information processing and comprehension. Previous research has found that some international teaching assistants (ITAs) fail to exploit English intonation, potentially posing processing difficulties to students who are native English speakers. However, researchers have also found that non-native listeners found it easier to process sentences given by a non-native speaker with a shared language background, leading to an interlanguage speech intelligibility benefit (ISIB). Therefore, how native speaker teaching assistant (NSTA)’s and ITA’s classroom speech affects the processing, comprehension, and attitudes of listeners with different language backgrounds needs to be further investigated. Using a dual-task paradigm, a comprehension questionnaire, and an attitudinal questionnaire, the present study investigates how the pronunciation and intonation of a NSTA and an ITA affect native English speakers’ and Mandarin-speaking English learners’ processing and comprehension of a lecture, and attitudes towards the two instructors. The present study found shared processing advantages when the listeners shared the L1 of the speaker, but overall lecture comprehension and attitude were unaffected. These findings support and extend prior research studies surveying ITAs’ intonational patterns and ISIB. These findings also have implications for research on the teaching of English pronunciation to non-native instructors.Published versio

    Aspects of the information structure of spoken discourse

    Get PDF
    This thesis is a data-based investigation of the way speakers structure what they want to say in terms of 'given' and 'new' information. It is presented as a contribution to the study of the pragmatics of natural language in which the structure of discourse utterances is viewed as deriving, not from primarily syntactic or semantic criteria, but from the functional requirements of efficient communication in context. The recorded -Conversational speech of Edinburgh Scottish English speakers is analysed to determine whether intonational criteria, as suggested by Halliday (1967), can be taken as the formal features which define the organisation of information in spoken discourse. it is proposed that intonational cues are only a partial, and unreliable, guide to information structuring. A detailed examination is then presented of a corpus of spoken data elicited in a situation in which several parameters relating to the nature of information transfer were controlled. As a result, a comprehensive description of the linguistic realisation of information structure elements is provided. This leads to a reconsideration of conversational data and the ways in which elements in the information structure of messages interact and are influenced by larger structuring processes in the organisation of conversational contributions. Conclusions from the investigation are presented along with suggestions for continuing the research

    Cue Phrase Classification Using Machine Learning

    Full text link
    Cue phrases may be used in a discourse sense to explicitly signal discourse structure, but also in a sentential sense to convey semantic rather than structural information. Correctly classifying cue phrases as discourse or sentential is critical in natural language processing systems that exploit discourse structure, e.g., for performing tasks such as anaphora resolution and plan recognition. This paper explores the use of machine learning for classifying cue phrases as discourse or sentential. Two machine learning programs (Cgrendel and C4.5) are used to induce classification models from sets of pre-classified cue phrases and their features in text and speech. Machine learning is shown to be an effective technique for not only automating the generation of classification models, but also for improving upon previous results. When compared to manually derived classification models already in the literature, the learned models often perform with higher accuracy and contain new linguistic insights into the data. In addition, the ability to automatically construct classification models makes it easier to comparatively analyze the utility of alternative feature representations of the data. Finally, the ease of retraining makes the learning approach more scalable and flexible than manual methods.Comment: 42 pages, uses jair.sty, theapa.bst, theapa.st

    Intonation and discourse processing

    Get PDF
    This paper describes intonational cues to discourse structure, and the role that intonation plays in spoken discourse processing. We begin by discussing two main structures in discourse that one must consider when doing research on discourse processing: segmentation and information status. We then review a number of key studies from the phonetics literature which have investigated the intonational marking of these structures. Next, we discuss in detail the psycholinguistic research to date which has examined the role that intonation can play in facilitating or inhibiting the processing of discourse in English and other related languages. We conclude by outlining directions for future research in the area of intonation-discourse processing
    • 

    corecore