Publications

Displaying 101 - 111 of 111
  • Stern, G. (2023). On embodied use of recognitional demonstratives. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527204.

    Abstract

    This study focuses on embodied uses of recognitional
    demonstratives. While multimodal conversation analytic
    studies have shown how gesture and speech interact in the
    elaboration of exophoric references, little attention has been
    given to the multimodal configuration of other types of
    referential actions. Based on a video-recorded corpus of
    professional meetings held in French, this qualitative study
    shows that a subtype of deictic references, namely recognitional
    references, are frequently associated with iconic gestures, thus
    challenging the traditional distinction between exophoric and
    endophoric uses of deixis.
  • Uhrig, P., Payne, E., Pavlova, I., Burenko, I., Dykes, N., Baltazani, M., Burrows, E., Hale, S., Torr, P., & Wilson, A. (2023). Studying time conceptualisation via speech, prosody, and hand gesture: Interweaving manual and computational methods of analysis. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527220.

    Abstract

    This paper presents a new interdisciplinary methodology for the
    analysis of future conceptualisations in big messy media data.
    More specifically, it focuses on the depictions of post-Covid
    futures by RT during the pandemic, i.e. on data which are of
    interest not just from the perspective of academic research but
    also of policy engagement. The methodology has been
    developed to support the scaling up of fine-grained data-driven
    analysis of discourse utterances larger than individual lexical
    units which are centred around ‘will’ + the infinitive. It relies
    on the true integration of manual analytical and computational
    methods and tools in researching three modalities – textual,
    prosodic1, and gestural. The paper describes the process of
    building a computational infrastructure for the collection and
    processing of video data, which aims to empower the manual
    analysis. It also shows how manual analysis can motivate the
    development of computational tools. The paper presents
    individual computational tools to demonstrate how the
    combination of human and machine approaches to analysis can
    reveal new manifestations of cohesion between gesture and
    prosody. To illustrate the latter, the paper shows how the
    boundaries of prosodic units can work to help determine the
    boundaries of gestural units for future conceptualisations.
  • Uluşahin, O., Bosker, H. R., McQueen, J. M., & Meyer, A. S. (2023). No evidence for convergence to sub-phonemic F2 shifts in shadowing. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 96-100). Prague: Guarant International.

    Abstract

    Over the course of a conversation, interlocutors sound more and more like each other in a process called convergence. However, the automaticity and grain size of convergence are not well established. This study therefore examined whether female native Dutch speakers converge to large yet sub-phonemic shifts in the F2 of the vowel /e/. Participants first performed a short reading task to establish baseline F2s for the vowel /e/, then shadowed 120 target words (alongside 360 fillers) which contained one instance of a manipulated vowel /e/ where the F2 had been shifted down to that of the vowel /ø/. Consistent exposure to large (sub-phonemic) downward shifts in F2 did not result in convergence. The results raise issues for theories which view convergence as a product of automatic integration between perception and production.
  • Van Ooijen, B., Cutler, A., & Norris, D. (1991). Detection times for vowels versus consonants. In Eurospeech 91: Vol. 3 (pp. 1451-1454). Genova: Istituto Internazionale delle Comunicazioni.

    Abstract

    This paper reports two experiments with vowels and consonants as phoneme detection targets in real words. In the first experiment, two relatively distinct vowels were compared with two confusible stop consonants. Response times to the vowels were longer than to the consonants. Response times correlated negatively with target phoneme length. In the second, two relatively distinct vowels were compared with their corresponding semivowels. This time, the vowels were detected faster than the semivowels. We conclude that response time differences between vowels and stop consonants in this task may reflect differences between phoneme categories in the variability of tokens, both in the acoustic realisation of targets and in the' representation of targets by subjects.
  • Van Valin Jr., R. D. (2000). Focus structure or abstract syntax? A role and reference grammar account of some ‘abstract’ syntactic phenomena. In Z. Estrada Fernández, & I. Barreras Aguilar (Eds.), Memorias del V Encuentro Internacional de Lingüística en el Noroeste: (2 v.) Estudios morfosintácticos (pp. 39-62). Hermosillo: Editorial Unison.
  • Vogel, C., Koutsombogera, M., Murat, A. C., Khosrobeigi, Z., & Ma, X. (2023). Gestural linguistic context vectors encode gesture meaning. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527176.

    Abstract

    Linguistic context vectors are adapted for measuring the linguistic contexts that accompany gestures and comparable co-linguistic behaviours. Focusing on gestural semiotic types, it is demonstrated that gestural linguistic context vectors carry information associated with gesture. It is suggested that these may be used to approximate gesture meaning in a similar manner to the approximation of word meaning by context vectors.
  • Vosse, T., & Kempen, G. (1991). A hybrid model of human sentence processing: Parsing right-branching, center-embedded and cross-serial dependencies. In M. Tomita (Ed.), Proceedings of the Second International Workshop on Parsing Technologies.
  • Weber, A. (2000). Phonotactic and acoustic cues for word segmentation in English. In Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000) (pp. 782-785).

    Abstract

    This study investigates the influence of both phonotactic and acoustic cues on the segmentation of spoken English. Listeners detected embedded English words in nonsense sequences (word spotting). Words aligned with phonotactic boundaries were easier to detect than words without such alignment. Acoustic cues to boundaries could also have signaled word boundaries, especially when word onsets lacked phonotactic alignment. However, only one of several durational boundary cues showed a marginally significant correlation with response times (RTs). The results suggest that word segmentation in English is influenced primarily by phonotactic constraints and only secondarily by acoustic aspects of the speech signal.
  • Weber, A. (2000). The role of phonotactics in the segmentation of native and non-native continuous speech. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP, Workshop on Spoken Word Access Processes. Nijmegen: MPI for Psycholinguistics.

    Abstract

    Previous research has shown that listeners make use of their knowledge of phonotactic constraints to segment speech into individual words. The present study investigates the influence of phonotactics when segmenting a non-native language. German and English listeners detected embedded English words in nonsense sequences. German listeners also had knowledge of English, but English listeners had no knowledge of German. Word onsets were either aligned with a syllable boundary or not, according to the phonotactics of the two languages. Words aligned with either German or English phonotactic boundaries were easier for German listeners to detect than words without such alignment. Responses of English listeners were influenced primarily by English phonotactic alignment. The results suggest that both native and non-native phonotactic constraints influence lexical segmentation of a non-native, but familiar, language.
  • Witteman, J., Karaseva, E., Schiller, N. O., & McQueen, J. M. (2023). What does successful L2 vowel acquisition depend on? A conceptual replication. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 928-931). Prague: Guarant International.

    Abstract

    It has been suggested that individual variation in vowel compactness of the native language (L1) and the distance between L1 vowels and vowels in the second language (L2) predict successful L2 vowel acquisition. Moreover, general articulatory skills have been proposed to account for variation in vowel compactness. In the present work, we conceptually replicate a previous study to test these hypotheses with a large sample size, a new language pair and a
    new vowel pair. We find evidence that individual variation in L1 vowel compactness has opposing effects for two different vowels. We do not find evidence that individual variation in L1 compactness
    is explained by general articulatory skills. We conclude that the results found previously might be specific to sub-groups of L2 learners and/or specific sub-sets of vowel pairs.
  • Zora, H., Tremblay, A. C., Gussenhoven, C., & Liu, F. (Eds.). (2023). Crosstalk between intonation and lexical tones: Linguistic, cognitive and neuroscience perspectives. Lausanne: Frontiers Media SA. doi:10.3389/978-2-8325-3301-7.

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