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NERITS - A Machine Translation Mashup System Using Wikimeta and DBpedia

Published in Cimiano, P. ; Fernández, M. ; Lopez, V. & Schlobach, S. The Semantic Web: ESWC 2013 Satellite Events. Montpellier, France - 26-30 mai 2013 - Berlin ; Heidelberg: Springer. 2013, p. 312-318
Collection Lecture Notes in Computer Science; 7955
Abstract Recently, Machine Translation (MT) has become a quite popular technology in everyday use through Web services such as Google Translate. Although the different MT approaches provide good results, none of them exploits contextual information like Named Entity (NE) to help user comprehension. In this paper, we present NERITS, a machine translation mashup system using semantic annotation from Wikimeta and Linked Open Data (LOD) provided by DBpedia. The goal of the application is to propose a cross-lingual translation by providing detailed information extracted from DBpedia about persons, locations and organizations in the mother tongue of the user. This helps at scaling the traditional multilingual task of machine translation to cross-lingual applications.
Keywords MashupMachine TranslationNamed Entity RecognitionLinked Open Data
Stable URL https://archive-ouverte.unige.ch/unige:29623
Full text
ISBN: 9783642412417
Research group Laboratoire d'Analyse et de Traitement du Langage (LATL)

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Deposited on : 2013-09-17

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