Morphosyntactic annotation of CHILDES transcripts.

Corpora of child language are essential for research in child language acquisition and psycholinguistics. Linguistic annotation of the corpora provides researchers with better means for exploring the development of grammatical constructions and their usage. We describe a project whose goal is to ann...

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Publicado en:Journal of Child Language Vol. 37; no. 3; pp. 705 - 730
Autores principales: Sagae K, Davis E, Lavie A, MacWhinney B, Wintner S
Formato: equations & formulas research tables/charts Journal Article
Publicado: Cambridge University Press Jun2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2010
      vid: 37
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      pub: Cambridge University Press
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        atl: Morphosyntactic annotation of CHILDES transcripts.
      aug:
        au:
          Sagae K
          Davis E
          Lavie A
          MacWhinney B
          Wintner S
        affil: Institute for Creative Technologies, University of Southern California, CA 90292, USA. sagae@usc.edu
      sug:
        subj:
          Databases Utilization
          Grammar Evaluation
          Language Development In Infancy and Childhood
          Learning Methods In Infancy and Childhood
          Speech Sample In Infancy and Childhood
          Adult
          Algorithms Utilization
          Child
          Funding Source
          Grammar Standards
          Human
          Multilingualism
          Research Methodology
          Speech Sample In Adulthood
          Validation Studies
          Adult: 19-44 years
          Child: 6-12 years
      ab: Corpora of child language are essential for research in child language acquisition and psycholinguistics. Linguistic annotation of the corpora provides researchers with better means for exploring the development of grammatical constructions and their usage. We describe a project whose goal is to annotate the English section of the CHILDES database with grammatical relations in the form of labeled dependency structures. We have produced a corpus of over 18,800 utterances (approximately 65,000 words) with manually curated gold-standard grammatical relation annotations. Using this corpus, we have developed a highly accurate data-driven parser for the English CHILDES data, which we used to automatically annotate the remainder of the English section of CHILDES. We have also extended the parser to Spanish, and are currently working on supporting more languages. The parser and the manually and automatically annotated data are freely available for research purposes.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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