Summary of the paper

Title Queries and Views in iLex to Support Corpus-based Lexicographic Work on German Sign Language (DGS)
Authors Gabriele Langer, Anke Mueller and Sabrina Waehl
Abstract In the DGS-Korpus project the corpus is being used as the basis for lexicographic descriptions of signs in dictionary entries. In this process the lexicographers start from the data and type entry structures as found in the annotation database. While preparing a dictionary entry much of the work consists of manually going through a number of single tokens viewing the original data and available annotations. Findings are then categorised and summarised. However, a number of decisions and descriptions are also supported by pre-defined searches and views on the data. Supported areas include lexicographic lemmatisation (lemma sign establishment), selection of citation forms and variants, grammatical behaviour of signs, collocational patterns of use, regional distribution patterns and distribution of lexical or formational variants over different age groups. While we are still in the process of exploring the possibilities of a sign language corpus for lexicography, searches and views that have proven useful for our work are exemplified in this paper with regard to dictionary entries.
Full paper Queries and Views in iLex to Support Corpus-based Lexicographic Work on German Sign Language (DGS)
Bibtex @InProceedings{LANGER18.18026,
  author = {Gabriele Langer ,Anke Mueller and Sabrina Waehl},
  title = {Queries and Views in iLex to Support Corpus-based Lexicographic Work on German Sign Language (DGS)},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {may},
  date = {7-12},
  location = {Miyazaki, Japan},
  editor = {Mayumi Bono and Eleni Efthimiou and Stavroula-Evita Fotinea and Thomas Hanke and Julie Hochgesang and Jette Kristoffersen and Johanna Mesch and Yutaka Osugi},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {979-10-95546-01-6},
  language = {english}
  }
Powered by ELDA © 2018 ELDA/ELRA