Open this publication in new window or tab >>2017 (English)In: Proceedings of Interspeech 2017 / [ed] Francisco Lacerda, David House, Mattias Heldner, Joakim Gustafson, Sofia Strömbergsson, Marcin Włodarczak, The International Speech Communication Association (ISCA), 2017, p. 2214-2217Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
Child-directed spoken data is the ideal source of support for claims about children’s linguistic environments. However, phonological transcriptions of child-directed speech are scarce,compared to sources like adult-directed speech or text data. Acquiring reliable descriptions of children’s phonological environments from more readily accessible sources would mean considerable savings of time and money. The first step towards this goal is to quantify the reliability of descriptions derived from such secondary sources. We investigate how phonological distributions vary across different modalities (spoken vs. written), and across the age of the intended audience (children vs. adults). Using a previously unseen collection of Swedish adult- and child-directed spoken and written data, we combine lexicon look-up and grapheme-to-phonemeconversion to approximate phonological characteristics. The analysis shows distributional differences across datasets both for single phonemes and for longer phoneme sequences. Some of these are predictably attributed to lexical and contextual characteristics of text vs. speech.The generated phonological transcriptions are remarkably reliable. The differences in phonological distributions between child-directed speech and secondary sources highlight a need for compensatory measures when relying on written data or onadult-directed spoken data, and/or for continued collection ofactual child-directed speech in research on children’s language environments.
Place, publisher, year, edition, pages
The International Speech Communication Association (ISCA), 2017
Keywords
language acquisition, grapheme-to-phoneme conversion, phonology
National Category
Natural Language Processing
Research subject
Computational Linguistics
Identifiers
urn:nbn:se:su:diva-150403 (URN)10.21437/Interspeech.2017-1634 (DOI)000457505000462 ()9781510848764 (ISBN)
Conference
Interspeech 2017, Stockholm, Sweden, 20-24 August, 2017
Projects
Funktionella konsekvenser av avvikelser i barns sammanhängande tal
Funder
Swedish Research Council
2017-12-182017-12-182025-02-07Bibliographically approved