Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation

Popis výsledku v původním jazyce

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, butfull 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 resultingimprovement 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 a

Název v anglickém jazyce

Leveraging Recurrent Phrase Structure in Large-scale Ontology Translation

Popis výsledku anglicky

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, butfull 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 resultingimprovement 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 a

Druh

D - Stať ve sborníku

CEP obor

AI - Jazykověda

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 11th Annual conference of the European Association for Machine Translation (EAMT)

ISBN

82-7368-294-3

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

European Association for Machine Translation

Místo vydání

Oslo, Norway

Místo konání akce

Oslo, Norway

Datum konání akce

19. 6. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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