variation in spoken datives and genitives in britain ... et al... · bresnan and hay...
TRANSCRIPT
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Variation in spoken datives and genitives
in Britain, North America and the Pacific
Joint work involving many people.
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Objective: wheeling out the electron microscope
What is the extent to which careful pairwise varietycomparisons can replicate previous findings about probabilisticdifferences?
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Introduction
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Syntactic variation in spoken English
(1) a. we sent [the president]recipient [a letter]theme
(the ditransitive dative)b. we sent [a letter]theme to [the president]recipient
(the prepositional dative)
(2) a. [the president]possessor ’s [speech]possessum(the s-genitive)
b. [the speech]possessum of [the president]possessor(the of -genitive)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Countries/varieties
• Canada (CanE)
• New Zealand (NZE)
• Britain (BrE)
• United States (AmE)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Dative dataset: sources
(version: January 2015)
• CanE/BrE: materials were collected in the UK andCanada between 1997 and 2010 according to standardSociolinguistic procedures by Sali Tagliamonte(Tagliamonte 2014)
• AmE: based on data extracted from the SwitchboardCorpus of American English (SWBD) (Bresnan et al.2007; Bresnan and Ford 2010)
• NZE: data come from the Origins of New Zealand Englishcorpus (ONZE) (Hay and Bresnan 2006; Bresnan and Hay2008)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Genitive dataset: sources
(version: September 2014)
• BrE: based on data extracted from the Freiburg EnglishDialect Corpus (FRED) (Szmrecsanyi 2006)
• AmE: based on data extracted from the SwitchboardCorpus of American English (SWBD) (Shih et al. 2015)
• CanE: data collected between 1997 and 2010 according tostandard sociolinguistic procedures by Sali Tagliamonte(see e.g. Jankowski and Tagliamonte 2014)
• NZE: data come from the Origins of New Zealand Englishcorpus (ONZE) (Gordon et al. 2007)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Unitary GLMMs
(analysis conducted in April 2015)
• the usual predictors are all significant in the expecteddirections
• cross-variety patterns: reference level ‘CanE’ (mostobservations)
• sig. interactions of country with the internal predictorswere fairly minimal in both constructions
• genitives: possessor animacy appears to play a greaterrole in genitive choice in CanE than elsewhere
• datives: end weight effects are weaker in CanE thanelsewhere
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Methods & data
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Variable context definitions
• dative alternation: give only, broadly following guidelinesin Bresnan et al. (2007)
• genitive alternation: (mostly?/entirely?) compatible withthe guidelines in Rosenbach (2014)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Annotation: datives
• SEMANTICS: transfer of possession (e.g. give) vs communication(e.g. demonstrate) vs abstract (e.g. wish)
• REC.THEME.DIFF: log(recipient length) - log(theme length)(number of words). Bresnan and Ford (2010) report that using arelative measure helps reduce collinearity.
• RECIP.PRON: pronoun versus noun
• THEME.PRON: pronoun versus noun
• RECIP.definiteness.NEW: definite versus indefinite
• THEME.definiteness.NEW: definite versus indefinite
• RECIP.ANIMACY: animate versus inanimate
• THEME.ANIMACY: animate versus inanimate
• COUNTRY: US vs UK vs CAN vs NZ
• SPEAKER.pruned, THEME.HEAD.pruned, RECIP.HEAD.pruned
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CRF analysis: dative alternationAmE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
RECIP.ANIMACY
SEMANTICS
THEME.LENGTH
RECIP.LENGTH
RECIP.PRON
THEME.definiteness.NEW
THEME.PRON
0.000 0.005 0.010
CanE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
SEMANTICS
RECIP.LENGTH
RECIP.PRON
THEME.LENGTH
RECIP.ANIMACY
THEME.PRON
THEME.definiteness.NEW
0.000 0.010 0.020
NZE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
RECIP.ANIMACY
SEMANTICS
RECIP.LENGTH
THEME.LENGTH
RECIP.PRON
THEME.definiteness.NEW
THEME.PRON
0.000 0.005 0.010 0.015 0.020
BrE
Variable Importance
SEMANTICS
RECIP.ANIMACY
THEME.ANIMACY
RECIP.definiteness.NEW
THEME.LENGTH
RECIP.LENGTH
THEME.definiteness.NEW
THEME.PRON
RECIP.PRON
0.000 0.005 0.010 0.015 0.020
observations
• NZE/AmE fairly similar
• animacy comparatively unimportant inAmE, BrE, and NZE
• animacy comparatively important inCanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CRF analysis: dative alternationAmE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
RECIP.ANIMACY
SEMANTICS
THEME.LENGTH
RECIP.LENGTH
RECIP.PRON
THEME.definiteness.NEW
THEME.PRON
0.000 0.005 0.010
CanE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
SEMANTICS
RECIP.LENGTH
RECIP.PRON
THEME.LENGTH
RECIP.ANIMACY
THEME.PRON
THEME.definiteness.NEW
0.000 0.010 0.020
NZE
Variable Importance
RECIP.definiteness.NEW
THEME.ANIMACY
RECIP.ANIMACY
SEMANTICS
RECIP.LENGTH
THEME.LENGTH
RECIP.PRON
THEME.definiteness.NEW
THEME.PRON
0.000 0.005 0.010 0.015 0.020
BrE
Variable Importance
SEMANTICS
RECIP.ANIMACY
THEME.ANIMACY
RECIP.definiteness.NEW
THEME.LENGTH
RECIP.LENGTH
THEME.definiteness.NEW
THEME.PRON
RECIP.PRON
0.000 0.005 0.010 0.015 0.020
observations
• NZE/AmE fairly similar
• animacy comparatively unimportant inAmE, BrE, and NZE
• animacy comparatively important inCanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Annotation: genitives
• Animacy.of.Por: animate versus inanimate versus collective versuslocative versus temporal
• Definiteness.of.Por: definite versus definite (pronoun) versusindefinite
• sem rel binary: prototypical versus non-prototypical
• Length.of.Por: number of words, centered
• Length.of.Pum: number of words, centered
• Final.sibilancy: final sibilant present versus absent
• COUNTRY: US vs UK vs CAN vs NZ
• speaker.pruned, Por.head.pruned, Pum.head.pruned
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CRF analysis: genitive alternationAmE
Variable Importance
Final.sibilancy
Length.of.Pum
sem_rel_binary
Definiteness.of.Por
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20 0.25
CanE
Variable Importance
Length.of.Pum
Definiteness.of.Por
sem_rel_binary
Length.of.Por
Final.sibilancy
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
NZE
Variable Importance
Length.of.Pum
sem_rel_binary
Definiteness.of.Por
Final.sibilancy
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
BrE
Variable Importance
Length.of.Pum
Definiteness.of.Por
Final.sibilancy
sem_rel_binary
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
observations
• fairly similar in the bird’s eye perspective
• differences wrt the extent to which p’orlength plays a secondary role
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CRF analysis: genitive alternationAmE
Variable Importance
Final.sibilancy
Length.of.Pum
sem_rel_binary
Definiteness.of.Por
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20 0.25
CanE
Variable Importance
Length.of.Pum
Definiteness.of.Por
sem_rel_binary
Length.of.Por
Final.sibilancy
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
NZE
Variable Importance
Length.of.Pum
sem_rel_binary
Definiteness.of.Por
Final.sibilancy
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
BrE
Variable Importance
Length.of.Pum
Definiteness.of.Por
Final.sibilancy
sem_rel_binary
Length.of.Por
Animacy.of.Por
0.00 0.05 0.10 0.15 0.20
observations
• fairly similar in the bird’s eye perspective
• differences wrt the extent to which p’orlength plays a secondary role
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
pairwise GLMMs: model fitting procedure
• Zuur et al. (2009)
• ran the full set of model diagnostics, checking residualsand random effects structure, leverage of certain items,k-fold cross-validation etc.
• genitives: include in full model interactions suggested byctree
• fairly minimal ranef structure: speaker,recipient/theme/possessor/possessum head noun lemmas;intercept adjustments only; re-optimization in eachpairwise comparison
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Pairwise comparisons: datives
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Predictions
• Bresnan and Hay (2008): “Non-animate recipients aremore likely to be used in the double object construction inthe NZ than in US spoken data” (252)failure to replicate
• Wolk et al. (2013): end-weight of themes is a strongereffect in AmE than in BrEfailure to replicate
• Tagliamonte (2014): no substantial differences betweenBrE and CanEwe do find differences
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Model quality measures: datives
N % corr. pred. C κ
CanE/BrE 2126 97.0 0.99 8.5CanE/NZ 2018 96.9 0.98 7.7CanE/US 2403 96.3 0.98 10.1NZ/BrE 1808 97.7 0.99 7.7NZ/US 2077 97.2 0.99 11.0BrE/US 2190 96.8 0.99 8.0
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Significant cross-variety differences in regression
CanE/BrE REC.THEME.DIFF (p = .001)CanE/NZE REC.THEME.DIFF (p = .009)CanE/AmE nilNZE/BrE SEMANTICS (p = .02)
RECIP.PRON (p = .02)THEME.ANIMACY (p = .049)
NZE/AmE SEMANTICS (p = .004)BrE/AmE nil
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: end weight differencesx-axis: standardized length difference centered around zero
y -axis: log odds (predicted outcome: PD)
summary
in BrE, heavy recipients favor PD morestrongly than in CanE
ê end weight stronger in BrE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: end weight differencesx-axis: standardized length difference centered around zero
y -axis: log odds (predicted outcome: PD)
summary
in BrE, heavy recipients favor PD morestrongly than in CanE
ê end weight stronger in BrE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: end weight differences
x-axis: standardized length difference centered around zero
y -axis: p (predicted outcome: PD)
summary
in NZE, comparatively heavy recipientsfavor PD more strongly than in CanE
ê end weight stronger in NZE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: end weight differences
x-axis: standardized length difference centered around zero
y -axis: p (predicted outcome: PD)
summary
in NZE, comparatively heavy recipientsfavor PD more strongly than in CanE
ê end weight stronger in NZE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: semanticsx-axis: ‘T’: transfer, ‘A’: abstract, ‘C’: communication
y -axis: log odds (predicted outcome: PD)
summary
in BrE, comm tokens favor PD vis-a-vistransfer; vice versa in NZE
(similar difference in NZE versus AmE)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: semanticsx-axis: ‘T’: transfer, ‘A’: abstract, ‘C’: communication
y -axis: log odds (predicted outcome: PD)
summary
in BrE, comm tokens favor PD vis-a-vistransfer; vice versa in NZE
(similar difference in NZE versus AmE)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: recipient pronominalityx-axis: ‘P’: pronoun, ‘N’: noun
y -axis: log odds (predicted outcome: PD)
summary
in BrE, nominal recipients have a morestrongly favoring effect, compared topronominal recipients, than in NZE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: recipient pronominalityx-axis: ‘P’: pronoun, ‘N’: noun
y -axis: log odds (predicted outcome: PD)
summary
in BrE, nominal recipients have a morestrongly favoring effect, compared topronominal recipients, than in NZE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: theme animacyx-axis: ‘i’: inanimate, ‘a’: animate
y -axis: log odds (predicted outcome: PD)
summary
in BrE, animate themes favor the PD (asthey should); in NZE, no effect.
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: theme animacyx-axis: ‘i’: inanimate, ‘a’: animate
y -axis: log odds (predicted outcome: PD)
summary
in BrE, animate themes favor the PD (asthey should); in NZE, no effect.
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus AmE: semanticsx-axis: ‘T’: transfer, ‘A’: abstract, ‘C’: communication
y -axis: log odds (predicted outcome: PD)
summary
in AmE, comm tokens favor PD vis-a-vistransfer; vice versa in NZE
(similar difference in NZE versus BrE)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus AmE: semanticsx-axis: ‘T’: transfer, ‘A’: abstract, ‘C’: communication
y -axis: log odds (predicted outcome: PD)
summary
in AmE, comm tokens favor PD vis-a-vistransfer; vice versa in NZE
(similar difference in NZE versus BrE)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Interim discussion: datives
• compared to BrE & NZE, end weight weak in CanE
• recipient animacy: stable across the board
• specifically, no recipient animacy difference NZE/AmE(contra Bresnan and Hay 2008)note: in the NZE part of the dataset, 42/61 (68%) of inanimate recipients
appear in the ditransitive pattern; in AmE the figure is 135/187 (72%)
• semantics difference NZE/BrE and NZE/AmE: in NZE,communicative uses of give disfavor the PD
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Pairwise comparisons: genitives
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Predictions
• Rosenbach (2002), Hinrichs and Szmrecsanyi (2007):animate possessors discourage s-genitive usage lessstrongly in AmE than in BrE(but: mostly written data)failure to replicate
• Hinrichs and Szmrecsanyi (2007): long possessums favors-genitive usage in AmE but not in BrE(but: written data)failure to replicate
• Hundt and Szmrecsanyi (2012): animacy is overall a moreimportant factor for predicting genitive variation in(earlier, written) NZE than in (earlier, written) BrEreplication successful
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Model quality measures: genitives
N % corr. pred. C κ
CanE/BrE 3652 93.5 0.98 12.4CanE/NZE 3946 94.9 0.99 13.8CanE/AmE 3104 93.3 0.98 12.9NZE/BrE 3616 94.4 0.99 11.1NZE/AmE 3068 94.6 0.98 8.0BrE/AmE 2774 92.0 0.98 7.7
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Significant cross-variety differences in regression
CanE/BrE Animacy.of.Por (p < .001), Final.sibilancy (p = 0.09)CanE/NZE Animacy.of.Por (p = .09), sem rel binary (p < .07)CanE/AmE Animacy.of.Por (p = .04), Length.of.Pum (p = .03)NZE/BrE Animacy.of.Por (p = .04), Final.sibilancy (p = .02)NZE/AmE nilBrE/AmE nil
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-favoring effect oflocative possessors, relative to inanimate
possessors, is weaker than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-favoring effect oflocative possessors, relative to inanimate
possessors, is weaker than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: final sibilancy
x-axis: ‘0’ final sibilant absent, ‘1’ final sibilant present
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-disfavoring effect offinal sibilancy is weaker than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus BrE: final sibilancy
x-axis: ‘0’ final sibilant absent, ‘1’ final sibilant present
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-disfavoring effect offinal sibilancy is weaker than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in NZE, temporal possessors favor thes-genitive more strongly (relative toinanimate possessors) than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in NZE, temporal possessors favor thes-genitive more strongly (relative toinanimate possessors) than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: semantic relation
x-axis: semantic relation
y -axis: p (predicted outcome: s-genitive)
summary
in NZE, prototypical semantic relationsfavor the s-genitive more strongly than in
CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus NZE: semantic relation
x-axis: semantic relation
y -axis: p (predicted outcome: s-genitive)
summary
in NZE, prototypical semantic relationsfavor the s-genitive more strongly than in
CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus AmE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in AmE, collective possessors favor thes-genitive more strongly (compared to
inanimate possessors) than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus AmE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in AmE, collective possessors favor thes-genitive more strongly (compared to
inanimate possessors) than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus AmE: possessum length
x-axis: centered possessum length (in words)
y -axis: p (predicted outcome: s-genitive)
summary
in AmE, the s-genitive-disfavoring (no,that’s not a typo!) effect of long
possessums is even stronger than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
CanE versus AmE: possessum length
x-axis: centered possessum length (in words)
y -axis: p (predicted outcome: s-genitive)
summary
in AmE, the s-genitive-disfavoring (no,that’s not a typo!) effect of long
possessums is even stronger than in CanE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-favoring effect ofanimate possessors (compared to inanimatepossessors) is weaker than in NZE (p < .1)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: possessor animacy
x-axis: ‘i’ inanimate, ‘a’ animate, ‘c’ collective, ‘l’ locative, ‘t’ temporal
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-favoring effect ofanimate possessors (compared to inanimatepossessors) is weaker than in NZE (p < .1)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: final sibilancy
x-axis: ‘0’ final sibilant absent, ‘1’ final sibilant present
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-disfavoring effect offinal sibilancy is weaker than in NZE
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
NZE versus BrE: final sibilancy
x-axis: ‘0’ final sibilant absent, ‘1’ final sibilant present
y -axis: p (predicted outcome: s-genitive)
summary
in BrE, the s-genitive-disfavoring effect offinal sibilancy is weaker than in NZE
![Page 55: Variation in spoken datives and genitives in Britain ... et al... · Bresnan and Hay (2008):\Non-animate recipients are more likely to be used in the double object construction in](https://reader030.vdocuments.us/reader030/viewer/2022040916/5e8eb3ab6752746bb604c42b/html5/thumbnails/55.jpg)
Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Interim discussion: genitives
• possessor animacy: most variable constraint(but no difference in the AmE versus BrE pairing!)
• final sibilancy also surprisingly variable(2 significant interaction terms)
• more often than not, increasing possessum length predictsof -genitive usage(anti-end weight/Easy First)
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
About possessor animacy
What happens if we run models with a binary animacydistinction?
• still not the slightest trace of an animacy differencebetween BrE and AmE (p = .82)
• in BrE and AmE, the s-genitive-disfavoring effect ofinanimate p’ors is weaker than in CanE
• in BrE and AmE, the s-disfavoring effect of inanimatep’ors is weaker than in NZE (p < .1)
ê CanE and NZE have strong animacy constraints
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
About possessor animacy
What happens if we run models with a binary animacydistinction?
• still not the slightest trace of an animacy differencebetween BrE and AmE (p = .82)
• in BrE and AmE, the s-genitive-disfavoring effect ofinanimate p’ors is weaker than in CanE
• in BrE and AmE, the s-disfavoring effect of inanimatep’ors is weaker than in NZE (p < .1)
ê CanE and NZE have strong animacy constraints
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
About possessor animacy
What happens if we run models with a binary animacydistinction?
• still not the slightest trace of an animacy differencebetween BrE and AmE (p = .82)
• in BrE and AmE, the s-genitive-disfavoring effect ofinanimate p’ors is weaker than in CanE
• in BrE and AmE, the s-disfavoring effect of inanimatep’ors is weaker than in NZE (p < .1)
ê CanE and NZE have strong animacy constraints
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
About possessor animacy
What happens if we run models with a binary animacydistinction?
• still not the slightest trace of an animacy differencebetween BrE and AmE (p = .82)
• in BrE and AmE, the s-genitive-disfavoring effect ofinanimate p’ors is weaker than in CanE
• in BrE and AmE, the s-disfavoring effect of inanimatep’ors is weaker than in NZE (p < .1)
ê CanE and NZE have strong animacy constraints
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Synopsis
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
Summary
• no obvious cross-constructional parallelisms according toregression analysisBut CRF: animacy comparatively important in CanE in both
alternations
• surprisingly hard to replicate previous findings
• CRF: genitive grammars more homogeneous than dativegrammars
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Introduction Methods & data Pairwise comparisons: datives Pairwise comparisons: genitives Synopsis
To do / issues
• Annotation problem concerning theme pronominality(datives)give them [so much ice cream] = pronominal?
• dative extraction criteria for CanE/BrE differ from thosefor AmE/BrE, according to the documentation ê link topairwise differences we are observing?
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Literatur
References I
Bresnan, J., A. Cueni, T. Nikitina, and H. Baayen (2007). Predicting theDative Alternation. In G. Boume, I. Kramer, and J. Zwarts (Eds.),Cognitive Foundations of Interpretation, pp. 69–94. Amsterdam: RoyalNetherlands Academy of Science.
Bresnan, J. and M. Ford (2010). Predicting syntax: Processing dativeconstructions in American and Australian varieties of English.Language 86(1), 168–213.
Bresnan, J. and J. Hay (2008, February). Gradient grammar: An effect ofanimacy on the syntax of give in New Zealand and American English.Lingua 118(2), 245–259.
Gordon, E., M. Maclagan, and J. Hay (2007). The ONZE corpus. In J. C.Beal, K. P. Corrigan, and H. L. Moisl (Eds.), Creating and DigitizingLanguage Corpora. Volume 2: Diachronic Databases, pp. 82–104.Basingstroke: Palgrave Macmillan.
Hay, J. and J. Bresnan (2006, January). Spoken syntax: The phonetics ofgiving a hand in New Zealand English. The Linguistic Review 23(3).
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Literatur
References II
Hinrichs, L. and B. Szmrecsanyi (2007). Recent changes in the functionand frequency of Standard English genitive constructions: Amultivariate analysis of tagged corpora. English Language andLinguistics 11, 437–474.
Hundt, M. and B. Szmrecsanyi (2012). Animacy in early New ZealandEnglish. English World-Wide 33, 241–263.
Jankowski, B. L. and S. A. Tagliamonte (2014, July). On the genitive’strail: data and method from a sociolinguistic perspective. EnglishLanguage and Linguistics 18(02), 305–329.
Rosenbach, A. (2002). Genitive variation in English: conceptual factors insynchronic and diachronic studies. Berlin, New York: Mouton deGruyter.
Rosenbach, A. (2014, July). English genitive variation – the state of theart. English Language and Linguistics 18(02), 215–262.
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Literatur
References IIIShih, S., J. Grafmiller, R. Futrell, and J. Bresnan (2015, January).
Rhythm’s role in genitive construction choice in spoken English. InR. Vogel and R. Vijver (Eds.), Rhythm in Cognition and Grammar.Berlin, Munchen, Boston: DE GRUYTER.
Szmrecsanyi, B. (2006). Morphosyntactic Persistence in Spoken English.Berlin / New York: Mouton de Gruyter.
Tagliamonte, S. A. (2014). A comparative sociolinguistic analysis of thedative alternation. In R. Torres-Cacoullos, N. Dion, and A. Lapierre(Eds.), Linguistic variation: Confronting fact and theory, pp. 297–318.London, New York: Routledge.
Wolk, C., J. Bresnan, A. Rosenbach, and B. Szmrecsanyi (2013). Dativeand genitive variability in Late Modern English: Exploringcross-constructional variation and change. Diachronica 30(3),382–419.
Zuur, A. F., E. N. Ieno, N. J. Walker, A. A. Saveliev, and G. M. Smith(2009). Mixed Effects Models and Extensions in Ecology with R. NewYork: Springer.