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Exploiting UD treebanks for the extraction of word combination statistics

Metadata

  • Status: Proposed
  • Type: Specific
  • Work Package: WP3
  • Research Coordinators: INT Lexicographers; ELEXIS project members
  • Coordinators for CLARIAH: Jesse de Does, Vincent Vandeghinste
  • Participating Institutes: INT
  • End-users: INT Lexicographers; Lut Colman, Carole Tiberius; ELEXIS community
  • Developers: (Who is involved in implementing this use-case (if any)? Try to mention name, institute, role/responsibility)
  • Interest Groups: (a list of CLARIAH interest groups, such as Text and DevOps, for which this use case may be relevant. See the list of IG's at: https://github.com/clariah/ig/.
  • Task IDs: Wp3 search engine extensions: treebanks

Description

What is the research about?

Using dependency treebanks to study verbal-headed word combinations (cf. INT word combinations project)

What problem is hindering the research?

The scala of current corpus environments lacks a middle ground, where the extremes are sketch engine/blacklab/CQP on the one hand (fast and easy search in large amounts of material, flexible possibilities for grouping and result display) and Gretel/PaQu (extensive search possibilities but not yet fast with large corpora) on the other hand.

What is needed to do the research?

We propose extensions to blacklab/blacklab-server/autosearch

  • to enable fast retrieval by dependency relations
  • extraction of relevant statistics by grouping on the relevant slots in the queries
  • upload of treebank data created by researchers into autosearch
  • exploitation of existing parallel corpora

e.g. Query something like v:[lemma="praten"] → (n:[pos="NOUN"] → p:[pos="ADP"])

Result presentation: Highlight of slots in corcondance

Grouping: Grouping by slots (captures)

Data

  • Existing UD treebanks
  • UD-enriched version of OpenSONAR and other corpora

Tools

  • extended version of blacklab/autosearch
  • UD pipeline for Dutch (to be determined by accuracy/usability)

What software and services are involved?

How to evaluate this?

  • Is the researched satisfied?

References

References to related resources and publications and especially links to related use-cases: