Summary of the paper

Title Quality Assurance of Automatic Annotation of Very Large Corpora: a Study based on heterogeneous Tagging System
Authors Chu-Ren Huang, Lung-Hao Lee, Jia-Fei Hog, Wei-guang Qu and Shiwen Yu
Abstract We propose a set of heuristics for improving annotation quality of very large corpora efficiently. The Xinhua News portion of the Chinese Gigaword Corpus was tagged independently with both the Peking University ICL tagset and the Academia Sinica CKIP tagset. The corpus-based POS tags mapping will serve as the basis of the possible contrast in grammatical systems between PRC and Taiwan. And it can serve as the basic model for mapping between the CKIP and ICL tagging systems for any data.
Language
Topics Corpus (creation, annotation, etc.), Lexicon, lexical database, Tagging
Full paper Quality Assurance of Automatic Annotation of Very Large Corpora: a Study based on heterogeneous Tagging System
Slides -
Bibtex @InProceedings{HUANG08.686,
  author = {Chu-Ren Huang, Lung-Hao Lee, Jia-Fei Hog, Wei-guang Qu and Shiwen Yu},
  title = {Quality Assurance of Automatic Annotation of Very Large Corpora: a Study based on heterogeneous Tagging System},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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