Cited by 63Linguistic Variation and MorphologyPhonetics and Phonology ResearchLinguistic and Sociocultural Studies

Variation and Change in the Use of Hesitation Markers in Germanic Languages

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Wieling, Martijn, Grieve, Jack, Bouma, Gosse, Fruehwald, Josef, Coleman, John, Liberman, Mark·2016·Language Dynamics and Change

Abstract

In this study, we investigate crosslinguistic patterns in the alternation between UM, a hesitation marker consisting of a neutral vowel followed by a final labial nasal, and UH, a hesitation marker consisting of a neutral vowel in an open syllable. Based on a quantitative analysis of a range of spoken and written corpora, we identify clear and consistent patterns of change in the use of these forms in various Germanic languages (English, Dutch, German, Norwegian, Danish, Faroese) and dialects (American English, British English), with the use of UM increasing over time relative to the use of UH. We also find that this pattern of change is generally led by women and more educated speakers. Finally, we propose a series of possible explanations for this surprising change in hesitation marker usage that is currently taking place across Germanic languages.

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Crossref · 10.1163/22105832-00602001

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  • The pattern of demographic differences in UM and UH is robust across American English, British English, Scottish English, Dutch, Norwegian, German, Danish, and Faroese.

    “This pattern is robust across American English, British English, Scottish English, Dutch, Norwegian, German, Danish, and Faroese [59].”

    From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [59]

  • UH is used relatively more frequently by men, less educated individuals, and older generations than by women, more educated individuals, and younger generations.

    “In contrast, UH is used relatively more frequently by men, less educated individuals, and older generations than by women, more educated individuals, and younger generations (M. [37, 59]).”

    From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [59]

  • UM is used relatively more often by women, educated individuals, and younger generations than by men, less educated individuals, and older generations.

    “For example, UM is used relatively more often by women, educated individuals, and younger generations than by men, less educated individuals, and older generations.”

    From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [59]

  • If females have higher UM ratios than males, slight sex ratio differences across diagnostic groups could lead to erroneous results.

    “If females have higher UM ratios than males [59], slight sex ratio differences across diagnostic groups could lead to erroneous results.”

    From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [59]

  • UM is a social pragmatic marker used more often by younger people and women than by older people and men.

    “UM is a social pragmatic marker [21] used more often by younger people and women as compared to older people and men”

    From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [59]

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Research works printed but not linked: 15

  1. Akaike, H. 1974. A new look at the statistical identification model. IEEE Transactions on Automatic Control 19(6): 716-723.
  2. Arnold, J. E., Fagnano, M., & Tanenhaus, M. K. 2003. Disfluencies signal theee, um, new information. Journal of Psycholinguistic Research 32: 25-36.
  3. Bamman, D., Eisenstein, J., & Schnoebelen, T. 2014. Gender identity and lexical variation in social media. Journal of Sociolinguistics, 18(2): 135-160.
  4. Corley, M., & Stewart, O. W. 2008. Hesitation disfluencies in spontaneous speech: The meaning of um. Language and Linguistics Compass, 2(4): 589-602.
  5. Deppermann, A., & Schmidt, T. 2014. Gesprächsdatenbanken als methodisches Instrument der Interaktionalen Linguistik -Eine exemplarische Untersuchung auf Basis des Korpus FOLK in der Datenbank für Gesprochenes Deutsch (DGD2). In: Domke, Christine & Gansel, Christa (eds.) Korpora in der Linguistik -Perspektiven und Positionen zu Daten und Datenerhebung [=Mitteilungen des Deutschen Germanistenverbandes 1/2014], 4-17.
  6. Hilgers F. J., van Dam F. S., Keyzers S., Koster M. N., van As C. J., & Muller M. J. 2000. Rehabilitation of olfaction after laryngectomy by means of a nasal airflow-inducing maneuver: the polite yawning technique. Archives of Otolaryngology-Head & Neck Surgery 126(6): 726-732.
  7. Hyman, L. M. 2008. Universals in phonology. The linguistic review 25(1-2): 83-137.
  8. Jurafsky, D., Ranganath, R., & McFarland, D. 2009. Extracting social meaning: Identifying interactional style in spoken conversation. In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. ACL, 638-646.
  9. Labov, W. 1994. Principles of Language Change. Volume 1: Internal Factors. Oxford: Wiley-Blackwell.
  10. Labov, W. 2001. Principles of Language Change. Volume 2: Social Factors. Oxford: Wiley- Blackwell.
  11. Laserna, C. M., Seih, Y. T., & Pennebaker, J. W. 2014. Um... who like says you know. Filler word use as a function of age, gender, and personality. Journal of Language and Social Psychology 33(3): 328-338.
  12. Rayson, P., Leech, G., & Hodges, M. 1997. Social differentiation in the use of English vocabulary: Some analyses of the conversational component of the British National Corpus. International Journal of Corpus Linguistics 2: 133-152.
  13. Rendle-Short, J. 2004. Showing structure: Using um in the academic seminar. Pragmatics, 14(4), 479-498.
  14. Shriberg, E. E. (1994). Preliminaries to a theory of speech disfluencies. PhD dissertation, University of California, Berkeley.
  15. Tottie, G. 2014. On the use of uh and um in American English. Functions of Language 21(1): 6-29.

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Authors
Wieling, M., Grieve, J., Bouma, G., Fruehwald, J., Coleman, J., & Liberman, M.
Affiliations
  • University of Groningen (NL)
  • Aston University (GB)
  • University of Edinburgh (GB)
  • University of Oxford (GB)
  • University of Pennsylvania (US)
Corresponding author
  • Wieling, Martijn
  • Grieve, Jack
  • Bouma, Gosse
  • Fruehwald, Josef
  • Coleman, John
  • Liberman, Mark
Venue
Language Dynamics and Change
Published
2016
Volume
6
Issue
2
Pages
199-234
ISSN
  • 2210-5824 (ISSN-L)
  • 2210-5832
OpenAlex
W2279900378
Cited by
63
References
34
Citations by year
2026: 5 · 2025: 6 · 2024: 5 · 2023: 13 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 8 · 2018: 5 · 2017: 4 · 2016: 5
FWCI
32.10
Type
journal article
Language
en
Open access
Locations
  • Language Dynamics and Change (publishedVersion)
  • Aston Publications Explorer (Aston University) (acceptedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (acceptedVersion, other-oa)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
  • The Mind Research Repository
Topics
  • Social Sciences › Linguistics and Language › Linguistic Variation and Morphology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
  • Social Sciences › Linguistics and Language › Linguistic and Sociocultural Studies
Keywords
hesitation markers, Germanic languages, open syllables, language change, sociolinguistic variation, gender differences in language, American English, British English, Dutch language, German, Norwegian, Danish language, Faroese

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