Timing and tempo in spontaneous phonological error repair

Plug, Leendert; Carter, Paul

doi:10.1016/j.wocn.2014.03.007

Cited by 11 publications

(15 citation statements)

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“…Plug & Carter (2014) observe patterns consistent with Nooteboom's findings in spontaneous phonological repairs. In this paper, we investigate offset-to-repair duration and repair tempo in a dataset of lexical self-repairs sampled from spontaneous Dutch speech.…”

Section: Coordination Of Speech Planning and Production Processessupporting

confidence: 89%

“…In relation to factors influencing the temporal organization of repair, our findings complement those reported by Plug & Carter (2014) for spontaneous phonological error repairs in revealing some data patterns consistent with a tendency for repairs that are initiated early to be completed fast, and for repairs that are initiated late to be completed more slowly.…”

Section:  Hypothesis Bsupporting

confidence: 85%

“…Following Plug & Carter (2014), we also explored the relevance of a proportional measure of reparandum item completeness, on the assumption that this might capture more fine-grained differences between 'early offset' and 'late offset' repairs. To implement this,…”

Section: Offset Timingmentioning

confidence: 99%

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Informativeness, Timing and Tempo in Lexical Self-Repair

Plug

2016

Lang Speech

Self Cite

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Running head: Temporal organization in lexical repairAcknowledgements: This work was supported by ESRC grant RES-061-25-0417 'Prosodic marking revisited: The phonetics of self-initiated self-repair in Dutch'. I would like to thank Paul Carter for his contribution to data selection, phonetic analysis and preliminary modelling; Mirjam Ernestus for her generous offers to provide frequency counts and recruit raters for the fill-in-the-gap task; and Christina Englert, Sanne Berends, Leen Plug, Gerard Berends, Anne van Hoek, Erik Verboom, Ilse Pit, Lisa Rommers, Nadia Klijn, Stef Piers, Thera Baayen, Marianne Plug and Ilona van der Linden for their participation in the rating exercises. I am also grateful to three Language and Speech reviewers for their constructive comments on three drafts of this article. 2 AbstractThis paper presents a study of the temporal organization of lexical repair in spontaneous Dutch speech. It assesses the extent to which offset-to-repair duration and repair tempo can be predicted on the basis of offset timing, reparandum tempo and measures of the informativeness of the crucial lexical items in the repair. Specifically, we address the expectations that repairs that are initiated relatively early are produced relatively fast throughout, and that relatively highly informative repairs are produced relatively slowly. For informativeness, we implement measures based on repair semantics, lexical frequency counts and cloze probabilities. Our results highlight differences between factual and linguistic error repairs, which have not been consistently distinguished in previous studies, and provide some evidence to support the notion that repairs that are initiated relatively early are produced relatively fast. They confirm that lexical frequency counts are rough measures of contextual predictability at best, and reveal very few significant effects of our informativeness measures on the temporal organization of lexical self-repair. Moreover, while we can confirm that most repairs have a repair portion that is fast relative to its reparandum, this cannot be attributed to the relative informativeness of the two portions. Our findings inform the current debate on the division of labour between inner and overt speech monitoring, and suggest that while the influence of informativeness on speech production is extensive, it is not ubiquitous.3

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Section: Coordination Of Speech Planning and Production Processessupporting

confidence: 89%

Section:  Hypothesis Bsupporting

confidence: 85%

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Informativeness, Timing and Tempo in Lexical Self-Repair

Plug

2016

Lang Speech

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“…Random forests have been used to look at various phenomena in linguistics (e.g., Bürki et al, 2011;Tagliamonte and Baayen, 2012;Plug and Carter, 2014;Sadat et al, 2014). Schneider (2014) analyzed the Switchboard corpus using binary decision trees and random forests to explore the distribution of hesitations in turns according to word co-occurrence frequency.…”

Section: Random Forestsmentioning

confidence: 99%

Turn-Taking in Human Communicative Interaction

Holler

Kendrick

Casillas

et al. 2016

Frontiers Research Topics

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The core use of language is in face-to-face conversation. This is characterized by rapid turn-taking. This turn-taking poses a number central puzzles for the psychology of language. Consider, for example, that in large corpora the gap between turns is on the order of 100 to 300 ms, but the latencies involved in language production require minimally between 600ms (for a single word) or 1500 ms (for as simple sentence). This implies that participants in conversation are predicting the ends of the incoming turn and preparing in advance. But how is this done? What aspects of this prediction are done when? What happens when the prediction is wrong? What stops participants coming in too early? If the system is running on prediction, why is there consistently a mode of 100 to 300 ms in response time? The timing puzzle raises further puzzles: it seems that comprehension must run parallel with the preparation for production, but it has been presumed that there are strict cognitive limitations on more than one central process running at a time. How is this bottleneck overcome? Far from being 'easy' as some psychologists have suggested, conversation may be one of the most demanding cognitive tasks in our everyday lives. Further questions naturally arise: how do children learn to master this demanding task, and what is the developmental trajectory in this domain? Research shows that aspects of turn-taking such as its timing are remarkably stable across languages and cultures, but the word order of languages varies enormously. How then does prediction of the incoming turn work when the verb (often the informational nugget in a clause) is at the end? Conversely, how can production work fast enough in languages that have the verb at the beginning, thereby requiring early planning of the whole clause? What happens when one changes modality, as in sign languages -- with the loss of channel constraints is turn-taking much freer? And what about face-to-face communication amongst hearing individuals -- do gestures, gaze, and other body behaviors facilitate turn-taking? One can also ask the phylogenetic question: how did such a system evolve? There seem to be parallels (analogies) in duetting bird species, and in a variety of monkey species, but there is little evidence of anything like this among the great apes. All this constitutes a neglected set of problems at the heart of the psychology of language and of the language sciences. This research topic welcomes contributions from right across the board, for example from psycholinguists, developmental psychologists, students of dialogue and conversation analysis, linguists interested in the use of language, phoneticians, corpus analysts and comparative ethologists or psychologists. We welcome contributions of all sorts, for example original research papers, opinion pieces, and reviews of work in subfields that may not be fully understood in other subfields

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“…For instance, it has been established for L1 that frequency, function words semantic predictability (Bell et al 2003) and old information status/repetition of a token (Plug and Carter 2014) boost vowel reduction.…”

Section: Introductionmentioning

confidence: 99%

Effects of speech rate, phonetic background and gender on vowel reduction in the speech of nonnative speakers of English

Brzezicha

Kul

2014

Poznan Studies in Contemporary Linguistics

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The paper reports the results of a study investigating vowel reduction in the speech of non-native speakers of English. The aim was to unravel the links between reduction and speech rate, phonetic training and gender. We hypothesized that (i) Polish speakers of English reduce vowels; (ii) they speak slower than native speakers; (iii) the higher the rate, the higher the reduction degree; (iv) speakers with phonetic training reduce less than those lacking it; (v) male subjects reduce more than the female ones.In order to realize these aims, an acoustic analysis of vowels was performed on 2 hrs 42 mins of speech produced by 12 Polish speakers of English. The subjects were divided into an experimental group consisting of 6 students of English and a control group with 6 speakers who had no phonetic training.The obtained results positively verify that non-native speakers reduce vowels and cast some doubts on whether they speak slower than native speakers. The role of rate and gender could not be established due to statistical and methodological issues. The group with no phonetic training outperformed the group which underwent phonetic training, pointing instead to the role of exposure and perhaps music training in acquiring native-like reduction patterns.

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Timing and tempo in spontaneous phonological error repair

Cited by 11 publications

References 41 publications

Informativeness, Timing and Tempo in Lexical Self-Repair

Informativeness, Timing and Tempo in Lexical Self-Repair

Turn-Taking in Human Communicative Interaction

Effects of speech rate, phonetic background and gender on vowel reduction in the speech of nonnative speakers of English

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