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Word Accents and Tones in Sentence Perspective A symposium in conjunction with the 60th birthday of Professor Gösta Bruce Carlos Gussenhoven Radboud University Nijmegen Lund University January 10, 2007

Carlos Gussenhoven Radboud University Nijmegen

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Carlos Gussenhoven Radboud University Nijmegen. Word Accents and Tones in Sentence Perspective A symposium in conjunction with the 60th birthday of Professor Gösta Bruce. Lund University January 10, 2007. Outline. Phonological sketch Prosodic syllable types A corpus à la Bruce 1977 - PowerPoint PPT Presentation

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Page 1: Carlos Gussenhoven Radboud University Nijmegen

Word Accents and Tones in Sentence Perspective

A symposium in conjunction with the 60th birthday of

Professor Gösta BruceCarlos Gussenhoven

Radboud University Nijmegen

Lund UniversityJanuary 10, 2007

Page 2: Carlos Gussenhoven Radboud University Nijmegen

Outline

Phonological sketch Prosodic syllable types A corpus à la Bruce 1977 Positional allophony ‘Tone sandhi’ Prosodic expression of focus

Page 3: Carlos Gussenhoven Radboud University Nijmegen

Segments and syllables

p’ p b t’ t k’ k ʔ i uts’ ts tʃ’ tʃ e os ʃ h a

m n w l j

CV(V)(C) V ‘Short’ VV ‘Long’

Glottalized ~ Plain: VV ~ V’V

Page 4: Carlos Gussenhoven Radboud University Nijmegen

Words

l kaj ‘fish’h kaan ‘snake’h h mu.kuj ‘turtle dove’l h su.ku’un ‘older brother’h l tsíi.min ‘horse’(h h síi.na’an ‘scorpion’)h lh júu.ka.taan ‘Yucatan’h l h l káas.ta.jaa.noh ‘Spanish’

C]

Page 5: Carlos Gussenhoven Radboud University Nijmegen

Word prosody

Short ʔek ‘wasp’ Long High ʔáak ‘turtle’ Long Lowkoot ‘wall’ Glottalized ku’uk ‘squirrel’

‘High tone is a fall finally and a high in penultimate position’

(Blair & Vermont-Salas)

‘There is no tone really’ (Archibald)

F0 contours (Fischer)

Page 6: Carlos Gussenhoven Radboud University Nijmegen

Word prosody - stress

- h is stressed (tsíi.min, su.ku’un) - word-initial l is stressed (kaj, mu.kuj)- stressed syllables are tone bearers- function words have no stress (kin

‘1SG’)

Page 7: Carlos Gussenhoven Radboud University Nijmegen

Glottal closures

ʔe’el ‘egg’k’i’ik’ ‘blood’ts’u’uts’ ‘kiss’p’áaʔ ‘open slightly’ʔiʔ ‘hawk’

Page 8: Carlos Gussenhoven Radboud University Nijmegen

Glottalized

CVCVC: vowels tends to be the same *CVʔVC

1. Morphological process treat CV(V)(C) as monosyllabic: root imperfective

ʔah - ʔa.hal ‘wake up’ ʔéem - ʔée.mel ‘descend’ he’el - he’e.lel ‘rest’ (Bricker

344) 2. CVʔV would be tonally restricted to H-toned,

CVCV to L-toned. No other ʔ has this restriction. (But ?* CVVʔV)

Page 9: Carlos Gussenhoven Radboud University Nijmegen

Research questions

How are the four ‘tones’ pronounced? What is their phonology? How does sentence phonology affect the

pronunciation of the tones? ‘Tone sandhi’ Information structure

Page 10: Carlos Gussenhoven Radboud University Nijmegen

Four male speakers in the Bay Area, aged 24-45From Santa Elena, Uxbal, OxkutzkabScripted speech(Thanks to Lisa Bennet)

Page 11: Carlos Gussenhoven Radboud University Nijmegen

SANTA ELENA ▲OXKUZKAB

Page 12: Carlos Gussenhoven Radboud University Nijmegen

kaj ‘fish’ us ‘gnat’k’áan, páay ‘hammock’ míis ‘broom’kaan ‘snake’ miis ‘cat’ka’an ‘sky’ me’ex ‘beard’

sak ‘white’jáax ‘first’boox ‘dark, dirty’ja’ax ‘green’

wilik ‘see’tsíi’tik ‘write’meentik ‘manufacture, do’cha’antk ‘look at’

A corpus

Page 13: Carlos Gussenhoven Radboud University Nijmegen

A corpus

Adjective: Adj Noun 32

Basic VP: Kin Verb Noun 32

Penultimate: Kin Verb le Noun-oʔ 32

Initial Noun kin Verb 32

New Ma kin Verb X, kin Verb Y 32

Old Ma kin Verb X, kin Verb X 32

192

Page 14: Carlos Gussenhoven Radboud University Nijmegen

15

Ya’ax míis.

Page 15: Carlos Gussenhoven Radboud University Nijmegen

16

Kin meentik le kàano’.

Page 16: Carlos Gussenhoven Radboud University Nijmegen

17

Má kin dzíi’tik tsuutsuy, kin dzíi’tik kay.

Page 17: Carlos Gussenhoven Radboud University Nijmegen

18

Má kin wu'uyik us, kin wilik us.

Page 18: Carlos Gussenhoven Radboud University Nijmegen

Positional variation

Final vs Initial Final vs Penultimate

Page 19: Carlos Gussenhoven Radboud University Nijmegen

Kay - final vs initial

60

80

100

120

140

160

180

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Paay

60

80

100

120

140

160

180

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Kaan - Final vs Initial

60

80

100

120

140

160

180

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Ka'an - Final vs Initial

60

80

100

120

140

160

180

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Page 20: Carlos Gussenhoven Radboud University Nijmegen

Us - Final vs Initial (Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Míis - Final vs Initial (Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Mìis - Final vs Initial (Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Me'ex - Final vs Initial (Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Page 21: Carlos Gussenhoven Radboud University Nijmegen

Kay - Final vs Initial (William)

60

110

160

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

K'aan - Final vs Initial (William)

6080

100120140160180200

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Kaan - Final vs Initial (William)

60

110

160

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Ka'an - Final vs Initial (William)

6080

100120140160180200

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Page 22: Carlos Gussenhoven Radboud University Nijmegen

Us - Final vs Initial (William)

6080

100120140160180200

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Míis - Final vs Initial (William)

60

110

160

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Miis - Final vs Initial (William)

6080

100120140160180200

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Me'ex - Final vs Initial (William)

60

110

160

1 2 3 4 5 6 7 8 9 10

Time

Hz Final

Initial

Page 23: Carlos Gussenhoven Radboud University Nijmegen

Kay - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

K'áan - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Kàan - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Ka'an - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Page 24: Carlos Gussenhoven Radboud University Nijmegen

Us - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Mìis - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Me'ex - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Míis - Final vs Initial (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Final

Initial

Page 25: Carlos Gussenhoven Radboud University Nijmegen

Monosyllabic vs bisyllabic (kay - kayo') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz Kay

Kayo'

Monosyllabic vs bisyllabic (kàan - kàano') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz Kàan

kàano'

Monosyllabic vs bisyllabic (ka'an - ka'ano') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz ka'an

ka'ano'

Monosyllabic vs bisyllabic (paay - paayo') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz Paay

Paayo'

Page 26: Carlos Gussenhoven Radboud University Nijmegen

Monosyllabic vs bisyllabic (us-uso') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz us

uso'

Monosyllabic vs bisyllabic (míis-míiso') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Míis

Míiso'

Monosyllabic vs bisyllabic (mìis-mìiso') - Oscar

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Mìis

Mìiso'

Monosyllabic vs bisyllabic (me'ex-me'exo') - Oscar

020406080

100120140160

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Me'ex

Me'exo'

Page 27: Carlos Gussenhoven Radboud University Nijmegen

Monosyllabic vs bisyllabic (kay - kayo') - Daniel

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz kay

kayo'

Monosyllabic vs bisyllabic (k'áan - k'áano') - Daniel

020406080

100120140

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz k'áan

k'áano'

Monosyllabic vs bisyllabic (kàan - kàano') - Daniel

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz kàan

kàano'

Monosyllabic vs bisyllabic (ka'an - ka'ano') - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz ka'an

ka'ano'

Page 28: Carlos Gussenhoven Radboud University Nijmegen

Monosyllabic vs bisyllabic (us - uso') - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz us

uso'

Monosyllabic vs bisyllabic (míis - míiso') - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz míis

míiso'

Monosyllabic vs bisyllabic (mìis - mìiso') - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz mìis

mìiso'

Monosyllabic vs bisyllabic (me'ex - me'exo') - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz me'ex

me'exo'

Page 29: Carlos Gussenhoven Radboud University Nijmegen

Allophonic variation for Long High and Glottalized

Final Low Fall Low Fall

Medial Low High Low Fall, glottalized

Initial Low Rise Low Fall

Short Long High Long Low Glottalized

Page 30: Carlos Gussenhoven Radboud University Nijmegen

Split TBUsLexical H

σ σ σ σ

μ μμ μμ μ μ

H H

kay paay kaan ka’an

Page 31: Carlos Gussenhoven Radboud University Nijmegen

Split TBUsLexical H

σ σ σ σ

μ μμ μμ μ μ

L H L H

kay paay kaan ka’an

Page 32: Carlos Gussenhoven Radboud University Nijmegen

Final occurrence

σ σ σ σ

μ μμ μμ μ μ

L L% H L% L L% H L%

kay paay kaan ka’an

Page 33: Carlos Gussenhoven Radboud University Nijmegen

Initial occurrence

σ σ σ σ

μ μμ μμ μ μ

%L L %L H %L L %L H L

kay paay kaan ka’an

Page 34: Carlos Gussenhoven Radboud University Nijmegen

Medial occurrence

σ σ σ σ

μ μμ μμ μ μ

L H L H L

kay paay kaan ka’an

Page 35: Carlos Gussenhoven Radboud University Nijmegen

Gussenhoven 1983, 1991

John will know betterH*L H*L L%

That’ll be John thereH*L H*L L%

That’ll be John H*L H*L L%

Page 36: Carlos Gussenhoven Radboud University Nijmegen

ToBI as an allophonic transcription John will know better L*+H L+H* L-L%

That’ll be John there L*+H H* L-L%

That’ll be John L*+H H* L-L%

Page 37: Carlos Gussenhoven Radboud University Nijmegen

ToBI as an allophonic transcription John will know better L+H* L+H* L-L%

That’ll be John there L+H* H* L-L%

That’ll be John L+H* H* L-L%

Page 38: Carlos Gussenhoven Radboud University Nijmegen

k3 in ch aan t i k2 m ii s

3 2 1

Time (s)0 1.64032

Time (s)0 1.64032

-100

200

k3 in ch aan t i k2 m ii s

3 2 1

Time (s)0 1.64032

Time (s)0 1.64032

-100

200

k3in ts' ii t i k2 m ii s

3 2 1

Time (s)0 2.59016

Time (s)0 2.59016

-100

200

Time (s)0 2.3905

-100

200

k3in ch aan t i k2 k1 ay

3 2 1

Time (s)0 2.3905

Time (s)0 2.11213

-100

200

k3in ts' ii t i k2k1 ay

3 2 1

Time (s)0 2.11213

k3in ts' ii t i k2k1 ay

3 2 1

Time (s)0 2.11213

Time (s)0 2.11213

-100

200

Page 39: Carlos Gussenhoven Radboud University Nijmegen

Time (s)

0 1.08322-50

250

k3 in ts' ii t i k2 k1 ay

3 2 1

Time (s)0 1.08321

Time (s)0 1.08322

-50

250

k3 in ts' ii t i k2 k1 ay

3 2 1

Time (s)0 1.08321

Time (s)0 1.13395

-50

250

k3 in ch aan t i k2 k1 ay

3 2 1

Time (s)0 1.13395

Time (s)0 1.24875

-50

250

k3 in ts' ii t i k2 m ii s

3 2 1

Time (s)0 1.24876

Time (s)0 1.24875

-50

250

k3 in ts' ii t i k2 m ii s

3 2 1

Time (s)0 1.24876

Time (s)0 1.38959

-50

250

k3 in ch aan t i k2 m ii s

3 2 1

Time (s)0 1.38961

Page 40: Carlos Gussenhoven Radboud University Nijmegen

Tone Sandhi

Downtrend may be sensitive to preceding or following tone

This may depend on phrase-type It may apply to H or L or both There may be anticipatory effects

Page 41: Carlos Gussenhoven Radboud University Nijmegen

Effect of preceding word (K-words - Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on K-word - William

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on K-word - Santos

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on K-word - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalized

Page 42: Carlos Gussenhoven Radboud University Nijmegen

Effect of preceding word on M-word (Oscar)

0

20

40

60

80

100

120

140

160

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on M-word - William

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on M-word - Santos

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalized

Effect of preceding word on M-word - Daniel

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalized

Page 43: Carlos Gussenhoven Radboud University Nijmegen

Trigger: Pool across H-tones, across L-tones

Target: Separate on the basis of L-tone, H-tone

Are L-toned nouns and H-tones nouns equall affected?

Page 44: Carlos Gussenhoven Radboud University Nijmegen

Effect of preceding tone on L-toned K-words (Oscar)

0

50

100

150

200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz Low

High

Effect of preceding tone on H-toned K-words (Oscar)

020406080

100120140160

1 2 3 4 5 6 7 8 9

Time (100%)

Hz Low

High

Effect of preceding tone on L-toned K-words (William)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Low

High

Effect of preceding tone on H-toned K-words (William)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Low

High

Page 45: Carlos Gussenhoven Radboud University Nijmegen

Effect of preceding tone on L-toned K-words (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Low

High

Effect of preceding tone on H-toned K-words (Santos)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz

Low

High

Effect of preceding tone on L-toned K-words (Daniel)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Low

High

Effect of preceding tone on H-toned K-words (Daniel)

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10

Time (100%)

Hz Low

High

Page 46: Carlos Gussenhoven Radboud University Nijmegen

No anticipatory effect in Noun kin Verb

Effect of following verb on M-words (Daniel)

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalised

Effect of following verb on M-word (Oscar)

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalised

Effect of following verb on M-word (Santos)

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalised

Effect of following verb on M-word (William)

0

50

100

150

200

1 3 5 7 9

Time (100%)

Hz

Neutral

High

Low

Glottalised

Page 47: Carlos Gussenhoven Radboud University Nijmegen

YUCATEC MAYA DOWNSTEP

T → !T / {.... H --- .... }

Page 48: Carlos Gussenhoven Radboud University Nijmegen

Expressing information structure

Types of focus informational focus Answer to WH-question corrective focus Not X, but Y

(contrastive focus) re-activating focus As for X

Size of focus constituent What happened? [Mary lost her VISA credit card] What did Mary lose? Mary lost [her VISA credit card] What credit card did Mary lose? Mary lost her [VISA] credit card

Page 49: Carlos Gussenhoven Radboud University Nijmegen

Ways of expressing information structure Syntax

obligatory position in S Focus particles

Morphology Verbal affixes

Phonology Phrasing Deaccenting for ‘outside focus’ Type of pitch accent

Phonetics Hyperarticulation

pitch range canonical pitch shapes

Nowhere

Page 50: Carlos Gussenhoven Radboud University Nijmegen

Informational focus in English: obligatory pitch accents Size of focus constituent

What happened? [Mary lost her VISA credit card]

What did Mary lose? Mary lost [her VISA credit card] What credit card did Mary lose? Mary lost her [VISA] credit card Did Mary lose her VISA credit card?

(Yes) Mary [polarity] lost her VISA credit card

Page 51: Carlos Gussenhoven Radboud University Nijmegen

Corrective Focus in English

I don’t write ‘piano’, I say ‘piano’

I don’t write ‘piano’, I write ‘violin’

Page 52: Carlos Gussenhoven Radboud University Nijmegen

Time (s)0 2.46839

-50

250

-50

50

150

250

I don't write piano I write violin

L H*L H*L H L H*L L

I write [ violin ]FOC

Page 53: Carlos Gussenhoven Radboud University Nijmegen

Time (s)0 2.72535

-50

250

-50

50

150

250

I don't write piano I say piano

L H*L H L H*L L

I [ say ]FOC piano

Page 54: Carlos Gussenhoven Radboud University Nijmegen

Time (s)0 3.21077

0

300

0

100

200

300

ma kin wuuyik us kin cha'antik us

kin [ cha’antik ]FOC ʔus

‘I don’t hear a gnat, I’m looking at a gnat’

Page 55: Carlos Gussenhoven Radboud University Nijmegen

Time (s)0 3.49102

0

300

0

100

200

300

ma kin wilik ts'o'ots kin wilik me'ex

kin wilik [ me’ex ] FOC

‘I don’t see hair, I see a beard’

Page 56: Carlos Gussenhoven Radboud University Nijmegen

kin cha’antik [ ʔus ]FOC

Time (s)0 3.8542

0

300

0

100

200

300

ma kin cha'antik ek kin cha'antik us

‘I’m not looking at a wasp, I’m looking at a gnat’

Page 57: Carlos Gussenhoven Radboud University Nijmegen

Time (s)0 3.23129

0

300

ma kin wu'uyik káan kin wilik káan

kin [ wilik ]FOC káan

‘I don’t hear a hammock, I see a hammock’

’ ’

Page 58: Carlos Gussenhoven Radboud University Nijmegen

Us - Corrective vs Old (William)

0

50

100

150

1 2 3 4 5 6 7 8 9

Time

Hz Contrast

Old

Míis - Corrective vs Old (William)

0

50

100

150

200

1 3 5 7 9

Time

Hz Contrast

Old

Miis - Correctives vs Old (William)

859095

100105110115

1 3 5 7 9

Time

Hz Contrast

Old

Me'ex - Corrective vs Old (William)

0

50

100

150

1 3 5 7 9

Time

Hz Contrast

Old

Page 59: Carlos Gussenhoven Radboud University Nijmegen

K'aan - Corrective vs Old (William)

0

50

100

150

1 3 5 7 9

Time

Hz Contrast

Old

Kaan - Corrective vs Old (William)

85

90

95

100

105

110

1 3 5 7 9

Time

Hz Contrast

Old

Ka'an - Corrective vs Old (William)

0

50

100

150

200

1 3 5 7 9

Time

Hz Contrast

Old

Kay - Corrective vs Old (William)

0

50

100

150

1 3 5 7 9

Time

Hz Contrast

Old

Page 60: Carlos Gussenhoven Radboud University Nijmegen

Kay Corrective vs Old

6080

100120140160180200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz

Paay - Corrective vs Old

6080

100120140160180200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz

Kaan - Corrective vs Old

6080

100120140160180200

1 2 3 4 5 6 7 8 9

Time (100%)

Hz

Ka'an - Corrective vs Old

60

110

160

1 2 3 4 5 6 7 8 9

Time (100%)

Hz

Oscar

Page 61: Carlos Gussenhoven Radboud University Nijmegen

Us - Corrective vs Old (Oscar)

0

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Time (100%)

Hz Contrast

Old

Míis - Corrective vs Old (Oscar)

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Time (100%)

Hz Contrast

Oldc

Mìis - Corrective vs Old (Oscar)

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Me'ex - Corrective vs Old (Oscar)

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Old

Figure 9. Mean f0 tracks for us, míis, miis and me’ex for speaker O under Corrective and Given focus. N=4.

Page 62: Carlos Gussenhoven Radboud University Nijmegen

Mean Duration voiced portion M-series (William)

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300

1 2 3

Focus condition

ms

Neutral

Corrective

Old

Mean duration voiced portion K-series (William)

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Focus condition

ms

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Corrective

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Mean Duration voiced portion K-series (Oscar)

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1 2 3

Focus condition

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Neutral

Corrective

Old

Series4

Page 63: Carlos Gussenhoven Radboud University Nijmegen

L-insertion

Insert L / H --- H assuming there is a potential TBU

Page 64: Carlos Gussenhoven Radboud University Nijmegen

a. jáax míis b. ja’ax míis | | | | Li H H Li Li H L H Li ‘first broom’ ‘green broom’

Page 65: Carlos Gussenhoven Radboud University Nijmegen

Archibald, John (1996) The acquisition of Yucatec Maya prosody. UC Berkeley International Conference of Phonological Acquisition. Berkeley, CA. 99-112.

Bricker, Victoria B., Po?ot Yah, Eleuteria & Dzul de Po?ot, Ofelia (1998) A dictionary of the Maya language as spoken in Hocabá, Yucatán. Salt Lake City, University of Utah Press.

Blair, Robert W. & Vermont-Salas, Refugio (1965) Spoken Yucatec Maya. Book 1: Lessons 1-12. Chapel Hill, NC: Duke University-University of North Carolina, Program in Latin American Studies.

Fisher, William M. (1976) On tonal features in the Yucatan dialects. Mayan Linguistics 1, 29-43.