Democratizing neural machine translation with OPUS-MT.
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows. We discuss our ongoing mission of increasing language coverage and translation qual...
| Publicado en: | Language Resources & Evaluation Vol. 58; no. 2; pp. 713 - 756 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=178064693&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 178064693 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2024 vid: 58 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 178064693 10.1007/s10579-023-09704-w ppf: 713 ppct: 43 formats: fmt: – @attributes: type: T – @attributes: type: P size: 3.3MB tig: atl: Democratizing neural machine translation with OPUS-MT. aug: au: Tiedemann, Jörg Aulamo, Mikko Bakshandaeva, Daria Boggia, Michele Grönroos, Stig-Arne Nieminen, Tommi Raganato, Alessandro Scherrer, Yves Vázquez, Raúl Virpioja, Sami affil: https://ror.org/040af2s02 Department of Digital Humanities, University of Helsinki, Unioninkatu 40, 00014, Helsinki, Finland Silo.AI, Fredrikinkatu 57 C, 00100, Helsinki, Finland Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126, Milan, Italy https://ror.org/01xtthb56 Language Technology Group, Department of Informatics, University of Oslo, Gaustadalléen 23B, 0373, Oslo, Norway su: Machine translating Translating & interpreting sug: subj: Machine translating Translating & interpreting keyword: Computer-assisted translation Neural machine translation Open source Parallel corpora ab: This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows. We discuss our ongoing mission of increasing language coverage and translation quality, and also describe work on the development of modular translation models and speed-optimized compact solutions for real-time translation on regular desktops and small devices. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2024. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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