MT Techniques in a Retrieval System of Semantically Enriched Patents
Aarne Ranta, Lluı́s Màrquez, Borislav Popov, Meritxell Gonzàlez, Maria Mateva, Ramona Enache, Cristina España-Bonet, Inari Listenmaa, Lauri Alanko, Jussi Rautio, Jordi Saludes, John J. Camilleri, Laura Canedo, Norbert E. Fuchs, Kaarel Kaljurand, Tobias Kuhn · 2013
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 statisticalbased translation of patents that allows to transfer semantic annotations to the target language; 3) a built-in knowledge representation infrastructure that uses multilingual semantic annotations; and 4) an online application that offers a multilingual search interface over structural knowledge databases (domain ontologies) and multilingual documents (biomedical patents) that have been automatically translated.