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A Flexible Framework for Integrating Annotations from Different Tools and Tag Sets

Christian Chiarcos*, Stefanie Dipper**, Michael Götze*, Ulf Leser***, Anke Lüdeling****, Julia Ritz*, Manfred Stede*

* Institut für Linguistik, Universität Potsdam
Karl-Liebknecht-Str. 24-25 - D-14476 Golm

** Sprachwissenschaftliches Institut, Ruhr-Universität Bochum
Universitätsstr. 150 - D-44801 Bochum

*** Institut für Informatik, Humboldt-Universität zu Berlin
Unter den Linden 6 - D-10099 Berlin

**** Institut für deutsche Sprache und Linguistik, Humboldt-Universität zu Berlin
Unter den Linden 6 - D-10099 Berlin

We present a general framework for integrating annotations from different tools and tag sets. When annotating corpora at multiple linguistic levels, annotators may use different expert tools for different phenomena or types of annotation. These tools employ different data models and accompanying approaches to visualization, and they produce different output formats. For the purposes of uniformly processing these outputs, we developed a pivot format called PAULA, along with converters to and from tool formats. Different annotations are not only integrated at the level of data format, but are also joined on the level of conceptual representation. For this purpose, we introduce OLiA, an ontology of linguistic annotations that mediates between alternative tag sets that cover the same class of linguistic phenomena. All components are integrated in the linguistic information system ANNIS : Annotation tool output is converted to the pivot format PAULA and read into a database where the data can be visualized, queried, and evaluated across multiple layers. For cross-tag set querying and statistical evaluation, ANNIS uses the ontology of linguistic annotations. Finally, ANNIS is also tied to a machine learning component for semiautomatic annotation.

Fichier PDF
Christian Chiarcos, Stefanie Dipper, Michael Götze, Ulf Leser, Anke Lüdeling, Julia Ritz, Manfred Stede
930.5 ko

TAL Volume 49 2008 . 2. Plate-formes pour le traitement automatique des langues

Date de dernière mise à jour : 17 juin 2009, auteur : Rédacteurs en chef.