Research and development at XRCE is organised around 'competencies' and 'programs'. Research competency agendas are long-term where researchers address basic scientific questions and challenges. Programs have a pre-determined lifespan and combine the results of several research strands into a deliverable that responds to a market need. The Software Development & Engineering (SDE) competency lies specifically in engineering.

Parsing & Semantics

ParSem concentrates on automatically making sense of electronic documents, by semantically analyzing them. ParSem concentrates on two main research lines of natural language processing : robust parsing and semantics

Large Scale Data Mining

This research area is the point of reference for new data mining algorithms within Xerox. We focus on learning and inference from high-dimensional data that is heterogeneous and evolving over time.

Document Structure

Transforming unstructured information into structured documents for document-intensive tasks and effective repurposing

Textual & Visual Pattern Analysis

Image analysis, pattern recognition and machine learning systems to enable innovative services & solutions in the areas of visual content quality and understanding and text categorization.

Work Practice Technology

Multidisciplinary group designing novel office work place technologies based upon insights drawn from extensive work place studies

Cross-Language Technologies

Creating effective automatic machine translation tools to overcome foreign language barriers.

Software Development

Engineering research results for effective technology transfer.