Parsing Hebrew CHILDES transcripts.

We present a syntactic parser of (transcripts of) spoken Hebrew: a dependency parser of the Hebrew CHILDES database. CHILDES is a corpus of child-adult linguistic interactions. Its Hebrew section has recently been morphologically analyzed and disambiguated, paving the way for syntactic annotation. T...

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Publicado en:Language Resources & Evaluation Vol. 49; no. 1; pp. 107 - 146
Autores principales: Gretz, Shai, Itai, Alon, MacWhinney, Brian, Nir, Bracha, Wintner, Shuly
Formato: Artículo
Publicado: Springer Nature Mar2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Parsing Hebrew CHILDES transcripts.
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        au:
          Gretz, Shai
          Itai, Alon
          MacWhinney, Brian
          Nir, Bracha
          Wintner, Shuly
        affil:
          Department of Computer Science, Technion, Haifa Israel
          Department of Psychology, Carnegie Mellon University, Pittsburgh USA
          Department of Communication Disorders, University of Haifa, Haifa Israel
          Department of Computer Science, University of Haifa, Haifa Israel
      su:
        Transcription (Linguistics)
        Hebrew language
        Linguistics
        Parsing (Grammar)
        Computer science
      sug:
        subj:
          Transcription (Linguistics)
          Hebrew language
          Linguistics
          Parsing (Grammar)
          Computer science
      keyword:
        Child language
        Dependency grammar
        Parsing
        Syntactic annotation
      ab: We present a syntactic parser of (transcripts of) spoken Hebrew: a dependency parser of the Hebrew CHILDES database. CHILDES is a corpus of child-adult linguistic interactions. Its Hebrew section has recently been morphologically analyzed and disambiguated, paving the way for syntactic annotation. This paper describes a novel annotation scheme of dependency relations reflecting constructions of child and child-directed Hebrew utterances. A subset of the corpus was annotated with dependency relations according to this scheme, and was used to train two parsers (MaltParser and MEGRASP) with which the rest of the data were parsed. The adequacy of the annotation scheme to the CHILDES data is established through numerous evaluation scenarios. The paper also discusses different annotation approaches to several linguistic phenomena, as well as the contribution of morphological features to the accuracy of parsing.
      pubtype: Academic Journal
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    language: English
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