ANNIS3: A new architecture for generic corpus query and visualization

Abstract

This paper is concerned with the data structures, properties of query languages and visualization facilities required for the generic representation of richly annotated, heterogeneous linguistic corpora. We propose that above and beyond a general graph based data-model, which is becoming increasingly popular in many complex annotation formats, a well-defined concept of multiple, potentially conflicting segmentation layers must be introduced to deal with different sources and applications of corpus data flexibly. We also propose a generic solution for specialized corpus visualizations in a Web interface using annotation-triggered style sheets, which leverage the power of modern browsers and CSS for multiple and highly customizable views of primary data. We offer an implementation and evaluation of our architecture in ANNIS3, an open source browser-based architecture for corpus search and visualization. We present three case studies to test the coverage of the system, encompassing core linguistic and digital humanities use-cases including richly annotated newspaper treebanks, multilingual diplomatic and normalized manuscript materials edited in TEI, and analysis of multimodal recordings of spoken language.

The Projector: An Interactive Annotation Projection Visualization Tool

“…However, to the best of our knowledge, no visualization tool is available that specifically addresses this task. While there exist tools that focus on inspecting and correcting word alignments (Gilmanov et al, 2014) as well as frameworks for visualization of various layers of linguistic annotation (Krause and Zeldes, 2016), THE PROJECTOR differs in that it specializes in the projection of various types of linguistic annotation in parallel corpora and interactive analysis. …”

Annotating Speech, Attitude and Perception Reports

“…We plan to port the annotated corpus to the ANNIS search tool (Krause and Zeldes, 2016) in a later stage to carry out more complex search queries.…”

CityU corpus of essay drafts of English language learners: a corpus of textual revision in second language writing

“…As listed in Table 8, each relation bears a number of attributes, including the draft number and the nature of the revision. The interested reader is referred to (Krause and Zeldes, to 2014) for further technical detail. …”

“…The interested reader is referred to http://www.sfb632.uni-potsdam.de/annis/ and to(Krause & Zeldes, 2014) for more detail on how the interface can perform sophisticated queries to answer research questions flexibly and without programming skills.…”