Summary of the paper

Title A Corpus of European Portuguese Child and Child-directed Speech
Authors Ana Lúcia Santos, Michel Généreux, Aida Cardoso, Celina Agostinho and Silvana Abalada
Abstract We present a corpus of child and child-directed speech of European Portuguese. This corpus results from the expansion of an already existing database (Santos, 2006). It includes around 52 hours of child-adult interaction and now contains 27,595 child utterances and 70,736 adult utterances. The corpus was transcribed according to the CHILDES system (Child Language Data Exchange System) and using the CLAN software (MacWhinney, 2000). The corpus itself represents a valuable resource for the study of lexical, syntax and discourse acquisition. In this paper, we also show how we used an existing part-of-speech tagger trained on written material (Généreux, Hendrickx & Mendes, 2012) to automatically lemmatize and tag child and child-directed speech and generate a line with part-of-speech information compatible with the CLAN interface. We show that a POS-tagger trained on the analysis of written language can be exploited for the treatment of spoken material with minimal effort, with only a small number of written rules assisting the statistical model.
Topics Corpus (Creation, Annotation, etc.), Part-of-Speech Tagging
Full paper A Corpus of European Portuguese Child and Child-directed Speech
Bibtex @InProceedings{SANTOS14.514,
  author = {Ana Lúcia Santos and Michel Généreux and Aida Cardoso and Celina Agostinho and Silvana Abalada},
  title = {A Corpus of European Portuguese Child and Child-directed Speech},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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