Summary of the paper

Title Balanced data repository of spontaneous spoken Czech
Authors Lucie Válková, Martina Waclawičová and Michal Křen
Abstract The paper presents data repository that will be used as a source of data for ORAL2013, a new corpus of spontaneous spoken Czech. The corpus is planned to be published in 2013 within the framework of the Czech National Corpus and it will contain both the audio recordings and their transcriptions manually aligned with time stamps. The corpus will be designed as a representation of contemporary spontaneous spoken language used in informal, real-life situations on the area of the whole Czech Republic and thus balanced in the main sociolinguistic categories of speakers. Therefore, the data repository features broad regional coverage with large variety of speakers, as well as precise and uniform processing. The repository is already built, basically balanced and sized 3 million words proper (i.e. tokens not including punctuation). Before the publication, another set of overall consistency checks will be carried out, as well as final selection of the transcriptions to be included into ORAL2013 as the final product.
Topics Corpus (creation, annotation, etc.), Speech resource/database, LR national/international projects, organizational/policy issues
Full paper Balanced data repository of spontaneous spoken Czech
Bibtex @InProceedings{VLKOV12.179,
  author = {Lucie Válková and Martina Waclawičová and Michal Křen},
  title = {Balanced data repository of spontaneous spoken Czech},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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