8 Rhythm’s role in genitive construction choice in spoken English

Shih, Stephanie S.; Grafmiller, Jason; Futrell, Richard; Bresnan, Joan

doi:10.1515/9783110378092.207

Cited by 22 publications

(20 citation statements)

References 18 publications

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“…121-126 in Burnham and Anderson (2002) for an illustration of problems that can arise with stepwise selection in a situation where there are many small effects of weak predictors and a few large ones (a common situation with corpus data, e.g. Figure 1 in Shih et al 2010). with only the four levels that were used for the analysis of the full dataset, as discussed below.…”

Section: Results For Am Datasetmentioning

confidence: 99%

“…Several studies have observed that lexical and syntactic choices can be made in service of phonotactics (Benor and Levy 2006;Jaeger 2006;McDonald et al 1993;Pinker and Birdsong 1979;Shih et al 2010). Furthermore, there is in fact a categorical effect of preceding phonological context on the contraction of IS, which is outlawed after sibilants, as in *Texas's hot.…”

Section: Predictorsmentioning

confidence: 99%

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A multimodel inference approach to categorical variant choice: construction, priming and frequency effects on the choice between full and contracted forms of am, are and is

Barth¹,

Kapatsinski

2017

Corpus Linguistics and Linguistic Theory

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A multimodel inference approach to categorical variant choice: construction, priming and frequency effects on the choice between full and contracted forms of am, are and is Abstract: The present paper presents a multimodel inference approach to lin guistic variation, expanding on prior work by Kuperman and Bresnan (2012). We argue that corpus data often present the analyst with high model selection uncer tainty. This uncertainty is inevitable given that language is highly redundant: ev ery feature is predictable from multiple other features. However, uncertainty in volved in model selection is ignored by the standard method of selecting the single best model and inferring the effects of the predictors under the assumption that the best model is true. Multimodel inference avoids committing to a single model. Rather, we make predictions based on the entire set of plausible models, with contributions of models weighted by the models' predictive value. We argue that multimodel inference is superior to model selection for both the ILanguage goal of inferring the mental grammars that generated the corpus, and the ELanguage goal of predicting characteristics of future speech samples from the community represented by the corpus. Applying multimodel inference to the classic problem of English auxiliary contraction, we show that the choice between multimodel inference and model selection matters in practice: the best model may contain predictors that are not significant when the full set of plau sible models is considered, and may omit predictors that are significant consid ering the full set of models. We also contribute to the study of English auxiliary contraction. We document the effects of priming, contextual predictability, and specific syntactic constructions and provide evidence against effects of phono logical context.

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Section: Results For Am Datasetmentioning

confidence: 99%

Section: Predictorsmentioning

confidence: 99%

A multimodel inference approach to categorical variant choice: construction, priming and frequency effects on the choice between full and contracted forms of am, are and is

Barth¹,

Kapatsinski

2017

Corpus Linguistics and Linguistic Theory

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“…AmE: Most tokens were extracted from the Switchboard corpus of American English (Godfrey, Holliman & McDaniel 1992), as described in Shih et al (2015). The Switchboard corpus covers telephone conversations collected at the beginning of the 1990s.…”

Section: Sourcesmentioning

confidence: 99%

Spoken syntax in a comparative perspective: The dative and genitive alternation in varieties of English

Szmrecsanyi

Grafmiller

Bresnan

et al. 2017

Glossa: A Journal of General Linguistics

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This paper introduces a new resource designed to facilitate the quantitative investigation of syntactic variation in spoken language from a comparative perspective. The datasets comprise homogeneously annotated collections of "interchangeable" (i.e. competing) genitive and dative variants in four varieties of English: American English, British English, Canadian English, and New Zealand English. To showcase the empirical potential of the data source, we present a suggestive analysis that investigates the extent to which the probabilistic grammar of genitive and dative variant choice differs across varieties. The statistical analysis reveals that while there are a number of subtle probabilistic contrasts between the regional varieties under study, there is overall a striking degree of cross-varietal homogeneity. We conclude by outlining directions for future research.

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“…We tested the fit of all final models using the somers2 function in the Hmisc package (Harrell 2014) which returns the index of concordance C. Logistic regression is common in other branches of linguistics (e.g. , Shih et al 2015 but not yet in gesture or sign language studies; we therefore provide an overview of the technique.…”

Section: Modeling Quote Sequences On the Basis Of Multimodal Productionmentioning

confidence: 99%

Multimodal analysis of quotation in oral narratives

2015

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Abstract:We investigate direct speech quotation in informal oral narratives by analyzing the contribution of bodily articulators (character viewpoint gestures, character facial expression, character intonation, and the meaningful use of gaze) in three quote environments, or quote sequences -single quotes, quoted monologues and quoted dialogues -and in initial vs. non-initial position within those sequences. Our analysis draws on findings from the linguistic and multimodal realization of quotation, where multiple articulators are often observed to be co-produced with single direct speech quotes (e.g. Thompson & Suzuki 2014), especially on the so-called left boundary of the quote (Sidnell 2006). We use logistic regression to model multimodal quote production across and within quote sequences, and find unique sets of multimodal articulators accompanying each quote sequence type. We do not, however, find unique sets of multimodal articulators which distinguish initial from non-initial utterances; utterance position is instead predicted by type of quote and presence of a quoting predicate. Our findings add to the growing body of research on multimodal quotation, and suggest that the multimodal production of quotation is more sensitive to the number of characters and utterances which are quoted than to the difference between introducing and maintaining a quoted characters' perspective.

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8 Rhythm’s role in genitive construction choice in spoken English

Cited by 22 publications

References 18 publications

A multimodel inference approach to categorical variant choice: construction, priming and frequency effects on the choice between full and contracted forms of am, are and is

A multimodel inference approach to categorical variant choice: construction, priming and frequency effects on the choice between full and contracted forms of am, are and is

Spoken syntax in a comparative perspective: The dative and genitive alternation in varieties of English

Multimodal analysis of quotation in oral narratives

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