The Role of (Re)Syllabification on Coarticulatory Nasalization: Aerodynamic Evidence from Spanish
Abstract
:1. Introduction
2. Literature Review
2.1. Resyllabification Revisited
2.2. Syllable Structure and Vocalic Nasalization
3. Research Questions
- RQ 1: Are there differences between nasal airflow contours in the degree of phonetic implementation of carryover and anticipatory coarticulatory nasalization in Spanish?
- RQ 2: Does syllable structure play a role in the degree of anticipatory coarticulatory nasality in Spanish?
- RQ 3: Do vowels across word junctures (resyllabification) show parallel carryover nasalization patterns as those within word boundaries?
4. Methodology
4.1. Participants
4.2. Stimuli
4.3. Equipment
4.4. Data Collection and Procedure
4.5. Data Annotation
4.6. Data Analysis
- Optimal model for V1: Context * Vowel + Sex + s(NormTime, by = interaction(Context, Vowel)) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = interaction(Context, Vowel), bs = "fs", m = 1) + s(Word, bs = "re")
- Optimal model for V2: Context + Sex + s(NormTime, by = Context) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = Context, bs ="fs", m = 1) + s(Word, bs = "re")
5. Results
5.1. Anticipatory Vowel Nasalization
5.2. Carryover Vowel Nasalization
6. Discussion
7. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Model | AIC Score | Deviance Explained |
Coarticulatory anticipatory nasalization (V1): | ||
Context * Vowel + Sex + s(NormTime, by = interaction(Context, Vowel)) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = interaction(Context, Vowel), bs = “fs”, m = 1) + s(Word, bs = “re”) | −127,117.7 | 72.9% |
Context * Vowel + s(NormTime, by = interaction(Context, Vowel)) + s(NormTime, Speaker, by = interaction(Context, Vowel), bs = “fs”, m = 1) + s(Word, bs = “re”) | −114,413.8 | 67% |
Coarticulatory carryover nasalization (V2): | ||
Context + Sex + s(NormTime, by = Context) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = Context, bs = “fs”, m = 1) + s(Word, bs = “re”) | −86,151.6 | 80.7% |
Context + s(NormTime, by = Context) + s(NormTime, Speaker, by = Context, bs = “fs”, m = 1) + s(Word, bs = “re”) | −77,586.6 | 78.5% |
Appendix B
- Model output for anticipatory vowel nasalization (V1)
- Formula: nasal ~ Context * Vowel + Sex + s(NormTime, by = interaction(Context, Vowel)) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = interaction(Context, Vowel), bs = “fs”, m = 1) + s(Word, bs = “re”)
Parametric Coefficients: | Estimate | SE | t-Value | p-Value |
(Intercept) | 0.0009 | 0.002 | 0.502 | 0.61580 |
Context CVN# | 0.002 | 0.003 | 0.735 | 0.46240 |
Context CV.N#V | 0.0004 | 0.002 | 0.174 | 0.86202 |
Context CVCV | 0.0007 | 0.002 | 0.378 | 0.70522 |
Vowel e | 0.00006 | 0.002 | 0.027 | 0.97817 |
Vowel i | 0.0008 | 0.002 | 0.321 | 0.74846 |
Vowel o | 0.00000 | 0.003 | 0.000 | 0.99962 |
Vowel u | 0.002 | 0.003 | 0.494 | 0.62124 |
Sex Male | −0.002 | 0.001 | −3.128 | <0.01 |
Context CVN# x Vowel e | −0.002 | 0.003 | −0.667 | 0.50486 |
Context CV.N#V x Vowel e | 0.0031 | 0.004 | 0.843 | 0.39919 |
Context CVCV x Vowel e | 0.0003 | 0.002 | 0.121 | 0.90404 |
Context CVN# x Vowel i | 0.0003 | 0.004 | 0.073 | 0.94213 |
Context CV.N#V x Vowel i | 0.0001 | 0.003 | 0.034 | 0.97307 |
Context CVCV x Vowel i | −0.00008 | 0.002 | −0.036 | 0.97096 |
Context CVN# x Vowel o | −0.0024 | 0.004 | −0.564 | 0.57271 |
Context CV.N#V x Vowel o | −0.0003 | 0.004 | −0.075 | 0.93988 |
Context CVCV x Vowel o | 0.0007 | 0.003 | 0.227 | 0.82066 |
Context CVN# x Vowel u | −0.0009 | 0.005 | −0.183 | 0.85497 |
Context CV.N#V x Vowel u | 0.0008 | 0.004 | 0.191 | 0.84872 |
Context CVCV x Vowel u | −0.0005 | 0.003 | −0.170 | 0.86534 |
Deviance explained = 72.9%. |
Appendix C
- Model output for carryover vowel nasalization (V2)
- Formula: nasal ~ Context + Sex + s(NormTime, by = Context) + s(NormTime, by = Sex) + s(NormTime, Speaker, by = Context, bs = “fs”, m = 1) + s(Word, bs = “re”)
Parametric Coefficients: | Estimate | SE | t-Value | p-Value |
(Intercept) | 0.017 | 0.005 | 3.148 | <0.01 |
Context CVCV | −0.0149 | 0.005 | −2.781 | <0.01 |
Context CVN#V | 0.0018 | 0.007 | 0.239 | 0.81 |
Sex Male | −0.0008 | 0.001 | −0.563 | 0.57 |
Deviance explained = 80.7%. |
1 | IRB Protocol Number: 20071, University of Illinois Urbana-Champaign. |
2 | It is worth mentioning that plot_diff() curve differences can only conduct pair-wise comparisons. |
3 | The colors in this palette are color vision deficiency-friendly in the original version in color. |
4 | A remark should be made about the visible “negative” airflow results. As Beristain (2023a) pointed out, the equipment’s built-in electric voltage and DC offset could explain such results, or there might be some phonetic cue involving negative airflow and vocalic nasalization in Spanish, as such results only appeared in Spanish but not in other languages that were originally analyzed by Beristain (2022). Considering that the negative values are generally a part of the confidence intervals, it should not pose any significant alterations in the current results. |
5 | Using vowels with different height and a relatively small corpus may have contributed to a somewhat large standard error. |
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CV.CV (Oral Control) | CVN# (Tautosyllabic) | CV.NV# (Heterosyllabic) | CVN#V (Resyllabification) | |
---|---|---|---|---|
/i/ | tita ‘aunt’ | patín ‘rollerblade’ | patina ‘s/he rollerblades’ | patín atado ‘tied rollerblade’ |
/e/ | cateto ‘ignorant’ | ten ‘you have, imp.’ | tena ‘timber’ | ten atado ‘have (it) tied’ |
/a/ | tato ‘little brother’ | tan ‘so’ | gitana ‘gypsy’ | tan atado ‘so tied’ |
/o/ | pitote ‘fuss’ | botón ‘button’ | botona ‘s/he buttons’ | botón atado ‘tied button’ |
/u/ | batuta ‘baton’ | atún ‘tuna’ | gatuna ‘cat-like’ | atún atado ‘tied tuna’ |
Number | |
---|---|
Anticipatory nasalization (V1) | 9 speakers × 5 vowel conditions [i, e, a, o, u] × 40 time-points × 4 syllable conditions [CVCV; CVN#; CV.NV#; CV.N#V] × 2 repetitions × = 14,400 |
Carryover nasalization (V2) | 9 speakers × 5 vowel conditions [i, e, a, o, u] × 40 time-points × 3 syllable conditions [CVCV; CV.NV#; CV.N#V] × 2 repetitions = 10,800 |
Total: 25,200 datapoints |
Onset of Nasalization | |
---|---|
CVN# (tautosyllabic) | 0.86 |
CV.NV# (heterosyllabic) | 0.92 |
CV.N#V (resyllabification) | 0.89 |
Offset of Nasalization | |
---|---|
CV.NV# (heterosyllabic) | 0.51 |
CV.N#V (resyllabification) | 0.75 |
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Beristain, A. The Role of (Re)Syllabification on Coarticulatory Nasalization: Aerodynamic Evidence from Spanish. Languages 2024, 9, 219. https://doi.org/10.3390/languages9060219
Beristain A. The Role of (Re)Syllabification on Coarticulatory Nasalization: Aerodynamic Evidence from Spanish. Languages. 2024; 9(6):219. https://doi.org/10.3390/languages9060219
Chicago/Turabian StyleBeristain, Ander. 2024. "The Role of (Re)Syllabification on Coarticulatory Nasalization: Aerodynamic Evidence from Spanish" Languages 9, no. 6: 219. https://doi.org/10.3390/languages9060219
APA StyleBeristain, A. (2024). The Role of (Re)Syllabification on Coarticulatory Nasalization: Aerodynamic Evidence from Spanish. Languages, 9(6), 219. https://doi.org/10.3390/languages9060219