Co-occurrence statistics as a language-dependent cue for speech segmentation
© 2016 John Wiley & Sons Ltd..
To what extent can language acquisition be explained in terms of different associative learning mechanisms? It has been hypothesized that distributional regularities in spoken languages are strong enough to elicit statistical learning about dependencies among speech units. Distributional regularities could be a useful cue for word learning even without rich language-specific knowledge. However, it is not clear how strong and reliable the distributional cues are that humans might use to segment speech. We investigate cross-linguistic viability of different statistical learning strategies by analyzing child-directed speech corpora from nine languages and by modeling possible statistics-based speech segmentations. We show that languages vary as to which statistical segmentation strategies are most successful. The variability of the results can be partially explained by systematic differences between languages, such as rhythmical differences. The results confirm previous findings that different statistical learning strategies are successful in different languages and suggest that infants may have to primarily rely on non-statistical cues when they begin their process of speech segmentation.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2017 |
|---|---|
| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
|---|---|
| Enthalten in: |
Developmental science - 20(2017), 3 vom: 04. Mai |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Saksida, Amanda [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 03.01.2018 Date Revised 17.03.2018 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1111/desc.12390 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM260034940 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM260034940 | ||
| 003 | DE-627 | ||
| 005 | 20231224192514.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231224s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1111/desc.12390 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n0866.xml |
| 035 | |a (DE-627)NLM260034940 | ||
| 035 | |a (NLM)27146310 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Saksida, Amanda |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Co-occurrence statistics as a language-dependent cue for speech segmentation |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 03.01.2018 | ||
| 500 | |a Date Revised 17.03.2018 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2016 John Wiley & Sons Ltd. | ||
| 520 | |a To what extent can language acquisition be explained in terms of different associative learning mechanisms? It has been hypothesized that distributional regularities in spoken languages are strong enough to elicit statistical learning about dependencies among speech units. Distributional regularities could be a useful cue for word learning even without rich language-specific knowledge. However, it is not clear how strong and reliable the distributional cues are that humans might use to segment speech. We investigate cross-linguistic viability of different statistical learning strategies by analyzing child-directed speech corpora from nine languages and by modeling possible statistics-based speech segmentations. We show that languages vary as to which statistical segmentation strategies are most successful. The variability of the results can be partially explained by systematic differences between languages, such as rhythmical differences. The results confirm previous findings that different statistical learning strategies are successful in different languages and suggest that infants may have to primarily rely on non-statistical cues when they begin their process of speech segmentation | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Langus, Alan |e verfasserin |4 aut | |
| 700 | 1 | |a Nespor, Marina |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Developmental science |d 1998 |g 20(2017), 3 vom: 04. Mai |w (DE-627)NLM097524492 |x 1467-7687 |7 nnns |
| 773 | 1 | 8 | |g volume:20 |g year:2017 |g number:3 |g day:04 |g month:05 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1111/desc.12390 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 20 |j 2017 |e 3 |b 04 |c 05 | ||