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Nagy LSA 2012 10/15/12 Looking for contact‐induced change in HLs 1 Looking for contact‐induced change in Heritage Cantonese: Pronouns, classifiers and VOT HERITAGE LANGUAGE VARIATION AND CHANGE IN TORONTO [email protected] projects.chass.utoronto.ca/ngn/HLVC INTRODUCTION Nagy/NWAV‐AP2012 2

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Page 1: INTRODUCTION - University of Torontoprojects.chass.utoronto.ca/ngn/pdf/Nagy_CAN_var_NWAVAP2.pdf · Nagy LSA 2012 10/15/12 Looking for contact‐induced change in HLs 3 Nagy/NWAV‐AP2012

NagyLSA2012 10/15/12

Lookingforcontact‐inducedchangeinHLs 1

Lookingforcontact‐inducedchangeinHeritageCantonese:

Pronouns,classifiersandVOT

HERITAGELANGUAGEVARIATIONANDCHANGEINTORONTO

[email protected]

projects.chass.utoronto.ca/ngn/HLVC

INTRODUCTION

Nagy/NWAV‐AP2012 2

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Lookingforcontact‐inducedchangeinHLs 2

ProblemStudies of contact-induced language

variation vary widely in terms of methods & contexts, inhibiting generalizable findings

SoluPonConsistent methods and context,

while varying pairs of languages in contact

Nagy/NWAV‐AP2012 3

Generalframework

ContrasPnglanguagesConsistentmethodology

Collect

Collaborate

Compare

QuanPfy

ConcludeNagy/NWAV‐AP2012 4

Collaborate

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Nagy/NWAV‐AP2012 5Toronto Star 30 Dec. 2007

Italian

Chinese

Cantonese

Punjabi

Portuguese

Spanish

Tagalog

Urdu

Tamil

Polish

CondiPonsnecessarytoestablishtheexistenceofcontact‐inducedchange

ParaphrasedfromThomason(2001:93‐94):

1.SituatetheproposedchangewithrespecttoitshostlinguisPcsystem

2.IdenPfyapresumedsourceofthechange

3.Locatestructuralfeaturessharedbythesourceandrecipientlanguages

Needtofindseveralstructuralfeaturesthathavebeeninfluenced!(Nichols2008:361)

4.Provethattheproposedinterferencefeatureswerenotpresentinthepre‐contactvariety

5.Provethattheproposedinterferencefeatureswerepresentinthesourcevarietypriortocontact

6.Ruleout(orsituate)internalmoPvaPons

7.Sociolinguists:Replace“features”with“stochasPcpacernsofvariables”

Nagy/NWAV‐AP2012 6

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7

1st 2nd 3rd

Nagy/NWAV‐AP2012

Expectedcross‐generaPonaldrid

Communitydemographics

Language MTspeakers EthnicOrigin Est. Camefrom

(2006Census) (2006Census) inTO

Italian 194,000 466,000 1908 Calabria

Cantonese 170,000 537,000 1951 HongKong

Polish 80,095 207,495 1911 EasternPoland

Russian 66,000 58,505 1916 St.Petersburg,Moscow

Korean 49,000 55,000 1967 Seoul

Ukrainian 27,000 122,000 1913 Lviv

Hungarian 20,190 53,210 1880 Budapest

Faetar <100? <500? 1950 Faeto,CellediSt.Vito

Nagy/NWAV‐AP2012

Mother tongue: http://www40.statcan.ca/l01/cst01/demo12c-eng.htm

Ethnic origin: http://www40.statcan.ca/l01/cst01/demo27g-eng.htm

8

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METHODOLOGY

Nagy/NWAV‐AP2012 9

Nagy/NWAV‐AP2012

Participant criteria: Language

(Self‐defined)fluentspeakerof…

Cantonese

Faetar

Korean

Italian

Russian

Ukrainian

Polish

Hungarian

10

EveryoneagreedthattheycouldparPcipate

inarecordedconversaPonforaboutanhour,intheheritage

language.

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Nagy/NWAV‐AP2012

Participant criteria: Generation Speakerof… GeneraLon

Cantonese

1st: born in Hong Kong; moved to GTA after age 18; in GTA 20+ years

2nd: born in GTA (or came from homeland before age 6); parents qualify as 1st generation

3rd: born in GTA; parents qualify as 2nd generation

Italian 1st: born in Calabria…

Russian 1st: born in Moscow or St. Petersburg…

Korean,Ukrainian,…

11

Nagy/NWAV‐AP2012

Participant criteria: Age group Languages GeneraLon Age

Cantonese

1st:born in homeland; moved to GTA after age 18; in GTA 20+ years

60+

39‐59

2nd:born in GTA (or came from homeland < age 6); parents qualify as 1st generation

60+

40‐59

21‐39

<21

3rd:born in GTA; parents qualify as 2nd generation

60+

40‐59

21‐39

<21

12

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Nagy/NWAV‐AP2012

Participant criteria: Sex Languages Generation Age Sex

Cantonese 1st: born in homeland; moved to GTA after age 18

60+ 2 females 2 males

39-59 2 females 2 males

Italian “ “

Russian “ “

Korean “ “

Ukrainian “ “

Faetar “ “

Polish

Hungarian 320 speakers 13

Nagy/NWAV‐AP2012

Data collection methods

1. Sociolinguistic interview (= conversation) 2.  Ethnic Orientation Questionnaire 3.  Picture Description Task

All participants were recruited, interviewed, recorded and transcribed by native speakers in the heritage language. Analysis by fluent (if not native) linguists, with native-speaker oversight.

14

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15

SociolinguisPcInterview•  “Guided conversation” •  Designed to elicit relaxed, conversational speech •  Variety of topics to find speaker’s interests •  Minimize the effects of a person (stranger) with a tape

recorder and microphone asking questions Why did your family move here?!

"Because of work?!"Because of community roots? "!"To be close to other Italians? Close to relatives? !

Do you know where your family came from?!"When did they come here? Why did they come?!

Do you remember hearing stories about how your family came to Toronto? …!

Was it hard for them to get set up here?!

Adapted from Labov 1984

Nagy/NWAV‐AP2012

EthnicOrientaPonQuesPonnaireA. Ethnic identification

1. Do you think of yourself as Italian, Canadian or Italian-Canadian? 2. Are most of your friends Italian? 3. Are people in your neighbourhood Italian?...

B. Language 1. Do you speak Italian? How well? How often? 2. Where did you learn Italian? At home? In school? 3. Do you prefer to speak Italian or English? 4. Do you prefer to read and write in Italian or English? …

C. Language choice 1. What language does your family speak when you get together? 2. What language do you speak with your friends?

D. Cultural heritage

E. Parents

F. Partner

G. Italian culture

H. Discrimination 16

I. Italian culture J. Discrimination

Adapted from Keefe & Padilla 1987, Walker & Hoffman 2008 Nagy/NWAV‐AP2012

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PRO‐DROP

Nagy/NWAV‐AP2012 17

Nagy/NWAV‐AP2012

Variable1:Pro‐drop(VariableSubjectPronounPresence)

Nagyetal.2010

Italian - Canonical prodrop language

Ø Avevo 14 anni e mia moglie ce ne aveva 13. Ø (I) was 14 and my wife was only 13… [I1M75A]

Io ho detto “Ok, ce la faccio, io.” I said, “OK, I’ll do it.” [I1M75A]

Russian - Partial prodrop language

Ø Начала немножко такой research делать. Ø (I) gradually started to do some research on this. [R3F25A]

Я очень медленно читаю, … I read very slowly,… [R3F25A]

18

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NWAV 2010 19 Nagy/NWAV‐AP2012

Time-aligned Transcription with ELAN

19

www.lat-mpi.eu/tools/elan  Initial transcription can be broad

 Variables can be coded and checked in the transcription document

 More context is available during analysis

Pro-drop rate by language and generation (N=6,216)

Nagy/NWAV‐AP2012 20

Analysis from Nagy, Aghdasi, Denis & Motut 2010. English data from Tagliamonte’s (2009) Toronto English Corpus 16 speakers x

100 tokens each

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Linguistic Factors   Subject Continuity Same referent as previous subject   “It had the old red and gold F-W-Woolworthʼs sign right on the corner,

Ø [it] had those little creaky wood, hardwood floors.” (EXM37A)

Different referent from previous subject (switch reference)   “Ø [we] used to bring a lunch with us, sandwiches and stuff. Ø [I]

remember we used to go with Darryl, and Gary, and Jack-G. and all of us.” (EXM47A)

  Conjunction Main   “I went and Ø knocked on the door.” (EXM44A)   “ By the time Ø got to England it was getting close to summer.” (EXF49A) Conjoined   “ Heʼs in the army and he goes to England three-or-four times a

year.” (EXM44A)   “I went and Ø knocked on the door.” (EXM44A)

Nagy/NWAV‐AP2012 21

Linguistic factor effects - Cantonese

Nagy/NWAV‐AP2012 22

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Linguistic factor effects Toronto English pro-drop (N=400)

Nagy/NWAV‐AP2012

Mixed Effects Model / Regression from Nagy et al. (2010)

1Significantfactorgroup(aninteracPon)

Factorweight

n

samereference,conjoinedclause

.86 120

samereference,mainclause

.53 130

switchreference,conjoined

.34 123

switchreference,mainclause

.21 27

range 65

Non‐significantfactorgroups

tense

ambiguity(inmorph.marking)

person&number

23

Bigger factor weight = more null subjects in that context

Cross-linguistic Comparison: Linguistic factors

Nagy/NWAV‐AP2012 24

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1st 2nd Expected

Nagy/NWAV‐AP2012

Actual

25

1st

Even Generation 1 has already undergone a lot of influence from English contact.

Comparison to Homeland Russian supports this.

What about Hong Kong Cantonese?

1st

Explanation 1

Nagy/NWAV‐AP2012 26

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Ambient English has been influenced by the HLs, and moved away from the “Old-line” norm.

1st

Isobel Marr’s (2011) thesis investigated this.

Nagy/NWAV‐AP2012 27

Explanation 2

Englishpro‐dropsample(Marr2011)

Nagy/NWAV‐AP2012 28

  2,415 tokens   Examined all clauses with null subjects and their adjacent clauses

clauses (one before and one after each), which may or may not have null subjects, following Harvie (1998).

  Generates an artificially high rate of null subject usage (~33%)   Exclusions: imperatives, interrogatives, subordinate & relative

clauses, quotations, repetitions, self-corrections, frozen expressions like Dunno.

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0

2

4

6

8

10

12

14

16

Anglo1stgenAnglo2ndgen Chinese1stgen

Chinese2ndgen

Italian1stgen Italian2ndgen

Nullsperm

illionwords

Englishnullsubjectrate(Marr2011)

Nagy/NWAV‐AP2012 29

ComparisonofEnglishacrosslanguages&generaPonsconvergence

(Factorweightsfrom4separateGVanalyses,Marr2011:52)

Factor Chinese Anglo

1st 2nd 1st 2nd

SubjectconPnuity(sPll“universal”)

same>diff. same>diff. same>diff. same>diff.

ConjuncPon conj.>main conj.>main conj.>main conj.>main

Verbcategory state>act

act>state act>state act>state

Tense n.s. n.s. n.s. n.s.

Inputvalue .37 .33 .31 .33

N 151 432 527 446

Nagy/NWAV‐AP2012 30

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What about the lack of correlation with EOQ scores?

o  Perhaps speakers don’t use this variable to index gender or ethnic orientation.

o  We might find effects with other variables.

Nagy/NWAV‐AP2012 31

Explanation 3

CLASSIFIERS

f rom:

Naomi Nagy, J o seph ine Tong & T iffany Chung

Workshop on Cantonese L i ngu i s>c s

Oh io S ta te Un i ve rs i t y 2012

Nagy/NWAV‐AP2012 32

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Classifier

[NPsap6ji6 lin4 [Nzung6jau5]] twelve CLAS highschool

Twelveyearsofhighschool(C1M46A)

33Nagy/NWAV‐AP2012

MissingClassifierWithoutClassifierGei2 do1 Ø gai1 tung4 tou3

How many chicken and rabbit

WithclassifierGei2 do1 zak3 gai1 tung4 tou3

How many CLAS chicken and rabbit

Howmanychickensandrabbits?(C1F50B)

34Nagy/NWAV‐AP2012

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“OpPonal”Classifiers

WithoutClassifieryam5 dak1 taai3 do1 Ø cha6

drink parPPve too much teaSome>mesIdrinktoomuchtea.(C2F27A)

Withclassifier

yam5 dak1 taai3 do1 bui2 cha6drink parPPve too many CLAS teaSome>mesIdrinktoomanycupsoftea.

35Nagy/NWAV‐AP2012

DataandAnalysis

o Dependentvariable:presenceorabsenceofclassifierprecedinganoun

o  IndependentlinguisPcvariables:o Nountype

o Countabilityofnoun

o 12speakersx25tokens

36Nagy/NWAV‐AP2012

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Rate of CLAS presence (N = 369 NP tokens)

37Nagy/NWAV‐AP2012

(non-significant effects)

NounType:Non‐barenouns

Nagy/NWAV‐AP2012 38

Possessive+noun ngo3 Pu4 yu2我 條 魚my CLAS fishmyfish

Number+noun yat1 Pu4 yu2一 條 魚one CLAS fishonefish

DemonstraPve+noun ni1 Pu4 yu2 呢 條 魚

this CLAS fishthisfish

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NounType:Barenouns

Nagy/NWAV‐AP2012 39

Indefinite ngo3 geen6 dou2 tiu4 yu2 I saw CLAS fish 我 見到 條 魚 I saw a fish.

Definite tiu4 yu2 ho2 daai6 CLAS fish very big 條 魚 好 大 The fish was very big.

Non-specific tiu4 yu2 ho2 waat6 (generic) CLAS fish very slimy

條 魚 好 滑 Fish are slimy.

Bare nouns

Nountypeeffect

Nagy/NWAV‐AP2012 40

Significant effect: non-bare vs. bare

369 NP tokens

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Countablevs.Non‐countablenouns

Nagy/NWAV‐AP2012 41

Countable di1 deng3 hai2 dei3haa2 CLAS chair on floor D 凳 係 地下 Thechairsareonthefloor.

Non‐countable di1 tsa3 hai2 dei3haa2 CLAS tea on floor D 茶 係 地下 Theteaisonthefloor.

CountabilityEffect

Nagy/NWAV‐AP2012 42

Non-significant effect

N= 369

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AnemergentpaVern:Useofclassifierstomarkbarecountablecontexts

Nagy/NWAV‐AP2012 43

N= 84

Significant effects, by one-tailed Fischer’s Exact Test: √ >40 vs. <40: p = .024

What’shappeninginHongKong

?

AnemergentpaVern:Useofclassifierstomarkbarecountablecontexts

Nagy/NWAV‐AP2012 44

N= 84

Significant effects, by one-tailed Fischer’s Exact Test: √ 1st vs. 2nd generation

p = .026 √ 1st vs. 2nd & 3rd gens.

p = .029 ( 2nd vs. 3rd gen.

p = .40)

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AnemergentpaVern:UseofclassifierstomarkDEFINITEcountablecontexts

Nagy/NWAV‐AP2012 45

0

20

40

60

80

100

Gen1 Gen2 Gen3

Definite

Indefinite

Generic

no generic NPs produced 0/8

2/2

VOICEONSETTIME(VOT)

Nagy/NWAV‐AP2012 46

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Variable2:VoiceOnsetTime(longerVOTsoundslikeaspiraPon)

Nagy/NWAV‐AP2012 47

CANrelease=~0.03sec.

English:Long‐lagVOT

Nagy/NWAV‐AP2012

Englishrelease=~0.08sec.

48

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Anoldercross‐linguisPccomparison

Lisker & Abramson 1964

49Nagy/NWAV‐AP2012

NB: Based on 1 speaker, but very similar results for 8 speakers in Clumeck et al. (1981)

Cross‐generaPonalvariaPoninVOT

Nagy/NWAV‐AP2012 50

Julianna So 2011

Montreal English VOT (#p, #t, #k) (Fowler 2008)

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Currentcross‐linguisPcvariaPoninVOT

Nagy/NWAV‐AP2012 51

ENGLISH

Julianna So 2011 + Walker & Hoffman data analyzed by M. Hoffman

VOT:all3languagesOtherHLpacernsofcross‐linguisPcvariaPon

•  18speakers*75tokens

•  N=1,250tokens•  25tokens*3consonants[p,t,k]

•  Word‐iniPalstressedsyllableswith/a/or/o/

52Nagy/NWAV‐AP2012

Hrycyna et al. 2011

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Discussion

Nagy/NWAV‐AP2012

•  Ø-subjects •  NO generational differences for rate or linguistic conditioning that can

be attributed to contact with English (in any Heritage Language). •  By 2nd generation, English in all communities = Anglo English. •  Surprisingly, Heritage Cantonese speakers have a lower rate of null

subjects in English than native English speakers. •  No effect of EOQ scores. •  Homeland patterns?

•  Classifiers •  Change in progress, related to English? •  Homeland and EOQ analyses needed

•  VOT •  Clear cross-generational drift from homeland to English norms for

Russian & Ukrainian, but not Cantonese or Italian •  Drifting languages show EOQ effects (& changes in progress). •  EOQ effect in English; not enough data for CAN

53

Nagy/NWAV‐AP2012

감사합니다дякую СпасибоGraziemolto gratsiə namuor:ə

TheHLVCRAs:JinBahng

VanessaBertoneUlyanaBilaRosannaCallaMinjiChaKarenChanKateChtcherbakov

SheilaChungMarcoCoviDerekDenis

ToniaDjogovicJoyceFokDongkeunHan NataliaHarhaj

TaisaHewka MelaniaHrycyna

JanyceKimIrynaKulykAnnKwonAlexLaGambaNataliaLapinskayaOlgaLevitskiKrisLeeNikkiLeeArashLozi

JamieOhTiinaRebaneHoyeonRim

AnnaShalaginova YiQingSimMarioSoGao

ChenLiGraceLui

AwetTekesteSarahTruong

DylanUscher

Ka‐manWong

OliviaYu&Collaborators

YoonjungKang

AlexeiKochetov

JamesWalker

&MeghanHollecforherRussiandata

&MicholHoffman,JamesWalker&SaliTagliamonteforuseofEnglishdata

&SSHRCandROPforfunding

54http://projects.chass.utoronto.ca/ngn/HLVC

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Methodsreferences

55

Keefe,S.&A.Padilla.1987.ChicanoEthnicity.Albuquerque,NM:UniversityofNewMexicoPress.

Labov,W.1984.FieldmethodsoftheProjectonLinguisPcChangeandVariaPon.InJ.Baugh&J.Sherzer(eds).LanguageinUse.EnglewoodCliffs:PrenPceHall.28‐54.

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% Multilingual variationist studies (North American sample)

vs. % multilingual people in the world

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