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Description
  • This paper presents a process for leveraging structural relationships and reusable phrases when translating large-scale ontologies. Digital libraries are becoming more and more prevalent. An important step in providing universal access to such material is to provide multi-lingual access to the underlying principles of organization via ontologies, thesauri, and controlled vocabularies. Machine translation of these resources requires high accuracy and a deep vocabulary. Human input is often required, but full manual translation can be slow and expensive. We report on a cost-effective approach to ontology translation. We describe our technique of prioritization, our process of collecting aligned translations and generating a new lexicon, and the resulting improvement to translation system output. Our preliminary evaluation indicates that this technique provides significant cost savings for human-assisted translation. The process we developed can be applied to ontologies in other domains and is easily inc
  • This paper presents a process for leveraging structural relationships and reusable phrases when translating large-scale ontologies. Digital libraries are becoming more and more prevalent. An important step in providing universal access to such material is to provide multi-lingual access to the underlying principles of organization via ontologies, thesauri, and controlled vocabularies. Machine translation of these resources requires high accuracy and a deep vocabulary. Human input is often required, but full manual translation can be slow and expensive. We report on a cost-effective approach to ontology translation. We describe our technique of prioritization, our process of collecting aligned translations and generating a new lexicon, and the resulting improvement to translation system output. Our preliminary evaluation indicates that this technique provides significant cost savings for human-assisted translation. The process we developed can be applied to ontologies in other domains and is easily inc (en)
Title
  • Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation
  • Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation (en)
skos:prefLabel
  • Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation
  • Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation (en)
skos:notation
  • RIV/00216208:11320/06:10077917!RIV11-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 483218
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/06:10077917
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • translation; ontology; scale; large; structure; phrase; recurrent; leveraging (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5950C2529C97]
http://linked.open...v/mistoKonaniAkce
  • Oslo, Norway
http://linked.open...i/riv/mistoVydani
  • Oslo, Norway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 11th Annual conference of the European Association for Machine Translation (EAMT)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hajič, Jan
  • Pecina, Pavel
  • Murray, Craig G.
  • Lin, Jimmy
  • Dorr, Bonnie J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Association for Machine Translation
https://schema.org/isbn
  • 82-7368-294-3
http://localhost/t...ganizacniJednotka
  • 11320
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