NDLI: Multi-word processing in an ontology-based Cross-Language Information Retrieval model for specific domain collections

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Multi-word processing in an ontology-based Cross-Language Information Retrieval model for specific domain collections

Content Provider	Hyper Articles en Ligne (HAL)
Author	di Buono, Maria Pia Monti, Johanna Monteleone, Mario Marano, Federica
Copyright Year	2013
Abstract	This paper proposes a methodological approach to CLIR applications for the development of a system which improves multi-word processing when specific domain translation is required. The system is based on a multilingual ontology, which can improve both translation and retrieval accuracy and effectiveness. The proposed framework allows mapping data and metadata among language-specific ontologies in the Cultural Heritage (CH) domain. The accessibility of Cultural Heritage resources, as foreseen by recent important initiatives like the European Library and Europeana, is closely related to the development of environments which enable the management of multilingual complexity. Interoperability between multilingual systems can be achieved only by means of an accurate multi-word processing, which leads to a more effective information extraction and semantic search and an improved translation quality.
Related Links	https://hal.science/hal-03780195/file/2013.mtsummit-wmwumttt.7.pdf
Conference Proceedings	Workshop on Multi-word Units in Machine Translation and Translation Technology
Language	English
Publisher	HAL CCSD
Access Restriction	Open
Subject Keyword	Multilingual ontology Cross-language information retrieval Cultural Heritage E-dictionary Multiword expression Information extraction Lexicon-Grammar CLIR Local grammar graph
Content Type	Text
Resource Type	Conference Proceedings
Subject	Arts and Humanities

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