This paper focuses on how automatic translation techniques integrated in a patent retrieval system increase its capabilities and make possible extended features and functionalities. We describe 1) a novel methodology for natural language to SPARQL translation based on a grammar–ontology interoperability automation and a query grammar for the patents domain; 2) a devised strategy for statistical...

Translation memory (TM) today widely used Computer-Assisted Translation (CAT) tool, based on matching of source and target language segments is intended for future reuse of already translated domain restricted type of texts. It is consistent, fast and cost-saving but the biggest lacks are non-existence of language knowledge and context insensitivity. Often integrated with machine translation (M...

This paper presents a computationally-efficient approach to multilingual NL generation (NLG) from a knowledge base (KB) of Conceptual Graphs (CG). The NLG module is integrated in a Machine-Aided Translation prototype providing interactive explanations of domain knowledge for end users and was developed in the DB-MAT and DBR-MAT projects.

This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilingual lexical knowledge base. The method proposed exploits the Multilingual Central Repository (a group of linked WordNets from different languages), as a domain-independent knowledge database, to provide translation m...

Some new contributions merged in and some placeholders added. 1 Executive Summary / Introduction The " Social Semantic Desktop " project NEPOMUK 1 , that has been going on for three years (2006–2008) has now reached its end. This deliverable reports the achievements of the third and final year of NEPOMUK's work package 1 named " Knowledge Articulation and Visualisation ". Previous work in this ...