Interchange Formats for Visualization - LIF and MMIF.

Promoting interoperrable computational linguistics (CL) and natural language processing (NLP) application platforms and interchangeable data formats have contributed improving discoverabilty and accessbility of the openly available NLP software. In this paper, we discuss the enhanced data visualization capabilities that are also enabled by inter-operating NLP pipelines and interchange formats. For adding openly available visualization tools and graphical annotation tools to the Language Applications Grid (LAPPS Grid) and Computational Linguistics Applications for Multimedia Services (CLAMS) toolboxes, we have developed interchange formats that can carry annotations and metadata for text and audiovisual source data. We descibe those data formats and present case studies where we successfully adopt open-source visualization tools and combine them with CL tools.