Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata.
The Europeana digital library features cultural heritage collections from over 3,000 European institutions described in 37 languages. However, most textual metadata describe the records in a single language, the data providers' language. Improving Europeana's multilingual accessibility presents chal...
| Publicado en: | Information Technology & Libraries Vol. 43; no. 3; pp. 1 - 18 |
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| Autores principales: | , , , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
American Library Association
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179871819&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179871819 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07309295 ITL jtl: Information Technology & Libraries issn: 07309295 maglogo: N pubinfo: dt: Sep2024 vid: 43 iid: 3 pid: 55 pub: American Library Association place: Chicago, Illinois artinfo: ui: 179871819 179871819 179871819 10.5860/ital.v43i3.17247 179871819 ppf: 1 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata. aug: au: Chatzitheodorou, Konstantinos Kaldeli, Eirini Isaac, Antoine Scalia, Paolo Grau Lacal, Carmen Escrivá, MªÁngeles García affil: Postdoctoral Researcher, Ionian University sug: subj: Culture Europe Multilingualism Translations Metadata Cultural Diversity English Language Natural Language Processing Information Retrieval Machine Learning Information Resources Access to Information Language Europe Vocabulary, Controlled Automation Electronic Publications ab: The Europeana digital library features cultural heritage collections from over 3,000 European institutions described in 37 languages. However, most textual metadata describe the records in a single language, the data providers' language. Improving Europeana's multilingual accessibility presents challenges due to the unique characteristics of cultural heritage metadata, often expressed in short phrases and using in-domain terminology. This work presents the EuropeanaTranslate project's approach and results, aimed at translating Europeana metadata records from 23 EU languages into English. Machine Translation engines were trained on a cleaned selection of bilingual and synthetic data from Europeana, including multilingual vocabularies and relevant cultural heritage repositories. Automatic translations were evaluated through standard metrics and human assessments by linguists and domain cultural heritage experts. The results showed significant improvements when compared to the generic engines used before the in-domain training as well as the eTranslation service for most languages. The EuropeanaTranslate engines have translated over 29 million metadata records on Europeana.eu. Additionally, the MT engines and training datasets are publicly available via the European Language Grid Catalogue and the ELRC-SHARE repository. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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