Cross-lingual named entity disambiguation for concept translation

The talk will focus on our experience in developing an integrated natural language processing pipeline, consisting of several distinct components, operating across multiple languages. We will demonstrate a cross-language information retrieval method that enables reuse of the same language resources across languages, by using a knowledge base in one language to disambiguate named entities in text, written in another language, as developed in the Enrycher system (enrycher.ijs.si). We discuss the architectural implications of this ability on the development practices and its prospects as a tool for automated translation of specific concepts and phrases in a content management system.