Startseite Regularization in the face of variable input: Children’s acquisition of stem-final fricative plurals in American English
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Regularization in the face of variable input: Children’s acquisition of stem-final fricative plurals in American English

  • Chiara Repetti-Ludlow ORCID logo EMAIL logo und Laurel MacKenzie ORCID logo
Veröffentlicht/Copyright: 26. April 2022

Abstract

From a young age, children go through a stage of leveling irregular forms. They are also known to probability-match variable phenomena. However, it is still unclear how children treat phenomena that are both irregular and variable. Does their tendency to overregularize take over, leading them to seize on the regular occurrences and produce them at an even higher rate than adults, or do children probability-match in these cases? In order to study this question, we turn to the variably voiced plurals of English nouns that end in a voiceless fricative, like leaves, houses, and paths. We find that children seem to probability-match for /s/-final and /θ/-final stems (e.g. houses, paths), but not for /f/-final stems (e.g. leaves). This finding has implications for our understanding of first language acquisition, and how learners acquire words with multiple processing requirements.


Corresponding author: Chiara Repetti-Ludlow, Department of Linguistics, New York University, 10 Washington Place, 10003 New York, NY, USA, E-mail:

Acknowledgment

Thanks to Ailís Cournane for helpful feedback.

Appendix A

Table 1:

The corpora used for stem-final fricative data. The number of children refers to the total number of children included in the corpus, not the number who produced the relevant tokens. Also note that while the plural targets column represents all useable plural tokens in each corpus, the singular targets column represents only a sample of relevant singular tokens in each corpus.

Corpus Age range of children Number of children Singular targets Plural targets
Bloom 1;9–3;2 3 8 4
Braunwald 1;0–6;0 1 22 11
Davis 0;7–2;4 21 17 14
EllisWeismer 2;6–5;6 138 58 29
Gleason 2;1–5;2 48 6 3
Goad 1;5–3;6 2 6 3
Hall 4;6–5;0 39 24 12
HSLLD 2;0–6;0 83 16 8
MacWhinney 0;7–8;0 2 72 36
Peters/Wilson 1;7–4;1 1 25 34
POLER 5;0–12;0 26 0 1
Providence 1;0–3;0 6 112 56
Sachs 1;1–5;1 1 10 5
Snow 2;3–3;9 1 12 6
Weist 2;1–5;0 6 55 35

Appendix B

Figure 6: 
Generalized linear mixed-effects model output. Phoneme is treatment-coded, with /f/ as the reference level.
Figure 6:

Generalized linear mixed-effects model output. Phoneme is treatment-coded, with /f/ as the reference level.

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Received: 2021-04-28
Accepted: 2021-09-23
Published Online: 2022-04-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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