Research Infrastructure for Arts and Humanities: Token-Annotated Corpora Overview

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Exploring token-annotated corpora and treebanks in the field of arts and humanities. Uncover the tools and methodologies for search and analysis, as well as the potential of Linked Open Data (LOD) in enhancing research capabilities and query languages.

  • Research
  • Humanities
  • Token-Annotated
  • Corpora
  • Treebanks

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  1. Common Lab Research Infrastructure for the Arts and Humanities 1

  2. OVERVIEW Search in Token-annotated Corpora Search in Treebanks 2

  3. OVERVIEW Search in Token-annotated Corpora Search in Treebanks 3

  4. TOKEN-ANNOTATED Corpus SONAR (535 m tokens, Dutch) Pos-tagged Encoded in FoLiA Search OpenSONAR 4 search interfaces, of increasing complexity Expert: CQP queries 4

  5. TOKEN-ANNOTATED Other Corpora Own Corpora BNC Contemporary Dutch Corpus Search- all use CQP. AutoSearch BNC Lancaster Contemporary Dutch Corpus 5

  6. TOKEN-ANNOTATED LOD? Will it bring advantages? If so, which ones? Does it retain the power and simple notation of CQP? SPARQL queries? REs over token descriptions? 6

  7. OVERVIEW Search in Token-annotated Corpora Search in Treebanks 7

  8. TREEBANKS Treebank = text corpus in which each sentence has been assigned a syntactic structure I use CGN, LASSY, CHILDES for Dutch LINDAT/CLARIN for many different languages T ndra for (mainly) German INESS treebanks for multiple languages Query languages: CGN, LASSY, CHILDES: XPATH/XQUERY LINDAT/CLARIN: PML-TQ T ndra: Tiger INESS: Tiger 8

  9. TREEBANKS Dedicated search applications: GrETEL Example-based search & XPATH PaQU Dedicated search for dependencies & XPATH Performance: OK for 65k sent /1 M token corpora Too slow for 7 M sent corpora (and getting slower every 18 months) 9

  10. TREEBANKS LOD: Could it be used to overcome the many different query languages in use? Query language? Same potential, transparent notation? Query language syntax NO problem Queries get very complex very quickly Must know the structure of the syntactic structures in every fine detail 10

  11. TREEBANKS LOD: Linking to other resources. Combined syntactic/morphological/semantic search Wordnet for checking for semantic properties (mass/count, human/nonhuman) CELEX for morphological/phonological properties performance? 11

  12. Thanks for your attention 12

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