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Spatial ontology in factored statistical machine translation

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Abstract

This paper presents a statistical phrase-based machine translation system which is enriched with semantic data coming from a spatial ontology. Paper presents the spatial ontology, how it is integrated in statistical machine translation system using factored models and how it is being evaluated using both automatic and human evaluation. Spatial information is added as a factor in both translation and language models. SOLIM spatial ontology language is used to implement ontology and to infer necessary knowledge for training statistical machine translation system. The machine translation system is based on Moses toolkit.

Original languageEnglish
Title of host publicationDatabases and Information Systems VI Selected Papers from the Ninth International Baltic Conference, DBandIS 2010
PublisherIOS Press BV
Pages153-166
Number of pages14
ISBN (Print)9781607506874
DOIs
Publication statusPublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume224
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • RCC8
  • Spatial Ontology
  • Statistical Machine Translation

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