Summary of the paper

Title ULex: new data models and a mobile environment for corpus enrichment.
Authors Dafydd Gibbon
Abstract The Ubiquitous Lexicon concept (ULex) has two sides. In the first kind of ubiquity, ULex combines prelexical corpus based lexicon extraction and formatting techniques from speech technology and corpus linguistics for both language documentation and basic speech technology (e.g. speech synthesis), and proposes new XML models for the basic datatypes concerned, in order to enable standardisastion and data interchange in these areas. The prelexical data types range from basic wordlists through diphone tables to concordance and interlinear glossing structures. While several proposals for standardising XML models of lexicon types are available, these more basic pre-lexical, data types, which are important in lexical acquisition, have received little attention. In the second area of ubiquity, ULex is implemented in a novel mobile environment to enable collaborative cross-platform use via a web application, either on the internet or, via a local hotspot, on an intranet, which runs not only on standard PC types but also on tablet computers and smartphones and is thereby also rendered truly ubiquitous in a geographical sense.
Topics Corpus (creation, annotation, etc.), Lexicon, lexical database, Phonetic Databases, Phonology
Full paper ULex: new data models and a mobile environment for corpus enrichment.
Bibtex @InProceedings{GIBBON12.905,
  author = {Dafydd Gibbon},
  title = {ULex: new data models and a mobile environment for corpus enrichment.},
  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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