ANNIS is an open-source web application that provides access to multi-layer richly annotated corpora. It provides search and visualization functionality for complex constellations of token and token span-based annotations, hierarchical graph structures such as syntax trees or rhetorical annotations, arbitrary labeled pointing relations, used for example in coreference annotation or dependency syntax, and also for metadata. Multimodal data can also be aligned with corpora, and parallel texts can be aligned at the word, phrase or sentence level.
ANNIS3, The current iteration of the ANNIS software, is being used and developed in Berlin and Potsdam as part of SFB 632 ("Information structure: the linguistic means for structuring utterances, sentences and texts"), and at Georgetown University in Washington, DC. A number of different projects collect and annotate data according to multiple annotation standards. This data, which is annotated using a growing set of annotation tools (EXMARaLDA, annotate (TigerXML), MMAX, RSTTool, Webanno, Arborator), can be mapped to the multilayer standoff format PAULA (Potsdamer Austauschformat für Linguistische Annotation / Potsdam Interchange Format for Linguistic Annotation), which serves as the basis for further processing for many corpora. Alternatively corpora from the single formats mentioned above can be converted directly to ANNIS using SaltNPepper.
- ANNIS Homepage
- Zeldes, Amir, Ritz, Julia, Lüdeling, Anke & Chiarcos, Christian (2009): Annis: A search tool for multi-layer annotated corpora. In: Proceedings of Corpus Linguistics 2009, July 20-23, Liverpool, UK.
- Chiarcos, Christian, Dipper, Stefanie, Götze, Michael, Leser, Ulf, Lüdeling, Anke, Ritz, Julia & Stede, Manfred (2008): A Flexible Framework for Integrating Annotations from Different Tools and Tag Sets. In: Traitement Automatique des Langues 49(2), 271-293.
- Dipper, Stefanie & Götze, Michael (2005): Accessing Heterogeneous Linguistic Data - Generic XML-Based Representation and Flexible Visualization. In: Proceedings. of the 2nd Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics. Poznań, Poland, 206-210.