This project seeks to broaden and deepen our scientific understanding of language development by providing new ways of analyzing real world face-to-face interactions. The computational tools that have been developed in the previous phases of this project now constitute the computational and analytic basis for most new empirical research on the development of spontaneous use of a first language. The new phase of this project will apply powerful new computational techniques to improve the scope, precision, and empirical grounding of language acquisition research. To achieve this overall goal, this proposal details six subprojects: 1. The LEX project uses new XML/XSLT technology to facilitate the construction of lexical profiles across ages, groups, languages, and subject types. 2. The GRAM project uses new technology from computational linguistics to study morpheme usage and omission, phrasal structure, clause structures, and sentence structure. 3. The PHO project uses new technology in signal analysis, digitization, Unicode, and databases to construct a large, new web-accessible inventory of transcribed phonological productions from several languages, with a particular focus on productions during the periods of babbling and the first words. 4. The CODON project applies new multimedia technology to improve coding system technology. 5. The Johnny Appleseed project will disseminate both old and new CHILDES tools to language researchers around the world. This will be done through web-based distribution, workshops, conferences, and mailing lists. 6. The Collaborative Commentary uses new methods for video analysis to expand the links between the fields of child language and social development.
| Gauvain, Mary; Perez, Susan M; Reisz, Z (2018) Stability and change in mother-child planning over middle childhood. Dev Psychol 54:571-585 |
| MacWhinney, Brian; Fromm, Davida; Rose, Yvan et al. (2018) Fostering human rights through TalkBank. Int J Speech Lang Pathol 20:115-119 |
| Byun, Tara McAllister; Rose, Yvan (2016) Analyzing Clinical Phonological Data Using Phon. Semin Speech Lang 37:85-105 |
| Rose, Yvan; Stoel-Gammon, Carol (2015) Using PhonBank and Phon in studies of phonological development and disorders. Clin Linguist Phon 29:686-700 |
| Brooks, Patricia J; Seiger-Gardner, Liat; Obeid, Rita et al. (2015) Phonological Priming With Nonwords in Children With and Without Specific Language Impairment. J Speech Lang Hear Res 58:1210-23 |
| Arbib, Michael A; Bonaiuto, James J; Bornkessel-Schlesewsky, Ina et al. (2014) Action and language mechanisms in the brain: data, models and neuroinformatics. Neuroinformatics 12:209-25 |
| Macwhinney, Brian (2014) What we have learned. J Child Lang 41 Suppl 1:124-31 |
| Albert, Aviad; MacWhinney, Brian; Nir, Bracha et al. (2013) The Hebrew CHILDES corpus: transcription and morphological analysis. Lang Resour Eval 47:973-1005 |
| Miyata, Susanne; MacWhinney, Brian; Otomo, Kiyoshi et al. (2013) Developmental Sentence Scoring for Japanese (DSSJ). First Lang 33:200-216 |
| Andreu, Llorenç; Sanz-Torrent, Mònica; Olmos, Joan Guàrdia et al. (2013) The formulation of argument structure in SLI: an eye-movement study. Clin Linguist Phon 27:111-33 |
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