Summary of the paper

Title AnCora: Multilevel Annotated Corpora for Catalan and Spanish
Authors Mariona Taulé, M. Antònia Martí and Marta Recasens
Abstract This paper presents AnCora, a multilingual corpus annotated at different linguistic levels consisting of 500,000 words in Catalan (AnCora-Ca) and in Spanish (AnCora-Es). At present AnCora is the largest multilayer annotated corpus of these languages freely available from The two corpora consist mainly of newspaper texts annotated at different levels of linguistic description: morphological (PoS and lemmas), syntactic (constituents and functions), and semantic (argument structures, thematic roles, semantic verb classes, named entities, and WordNet nominal senses). All resulting layers are independent of each other, thus making easier the data management. The annotation was performed manually, semiautomatically, or fully automatically, depending on the encoded linguistic information. The development of these basic resources constituted a primary objective, since there was a lack of such resources for these languages. A second goal was the definition of a consistent methodology that can be followed in further annotations. The current versions of AnCora have been used in several international evaluation competitions
Language Multiple languages
Topics Corpus (creation, annotation, etc.), Standards for LRs, LR national/international projects, organizational/policy issues
Full paper AnCora: Multilevel Annotated Corpora for Catalan and Spanish
Slides -
Bibtex @InProceedings{TAUL08.35,
  author = {Mariona Taulé, M. Antònia Martí and Marta Recasens},
  title = {AnCora: Multilevel Annotated Corpora for Catalan and Spanish},
  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 = {},
  language = {english}

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