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Proceedings chapter
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English

NERITS - A Machine Translation Mashup System Using Wikimeta and DBpedia

Contributors

Nebhi, Kamel; Nerima, Luka; Wehrli, Eric

Presented at

Montpellier, France, 26-30 mai 2013

Published in

Cimiano, P. ; Fernández, M. ; Lopez, V. & Schlobach, S. (Ed.), The Semantic Web: ESWC 2013 Satellite Events, p. 312-318

Publisher

Berlin ; Heidelberg : Springer

Collection

  • Lecture Notes in Computer Science; 7955

Publication date

2013

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

  • Mashup
  • Machine Translation
  • Named Entity Recognition
  • Linked Open Data

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

NEBHI, Kamel, NERIMA, Luka, WEHRLI, Eric. NERITS - A Machine Translation Mashup System Using Wikimeta and DBpedia. In: The Semantic Web: ESWC 2013 Satellite Events. Cimiano, P. ; Fernández, M. ; Lopez, V. & Schlobach, S. (Ed.). Montpellier, France. Berlin ; Heidelberg : Springer, 2013. p. 312–318. (Lecture Notes in Computer Science)

Main files (1)

Proceedings chapter (Accepted version)

Identifiers

  • PID : unige:29623

ISBN

9783642412417
887views
555downloads

Technical informations

Creation

16/09/2013 19:52:00

First validation

16/09/2013 19:52:00

Update

14/03/2023 20:24:11

Status update

14/03/2023 20:24:11

Last indexation

30/10/2024 10:10:59
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