The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

Jörg Tiedemann, Tommi Nieminen, Mikko Aulamo, Jenna Kanerva, Akseli Leino, Filip Ginter, Niko Papula

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

This paper presents FISKMÖ, a project that focuses on the development of resources and tools for cross-linguistic research and machine translation between Finnish and Swedish. The goal of the project is the compilation of a massive parallel corpus out of translated material collected from web sources, public and private organisations and language service providers in Finland with its two official languages. The project also aims at the development of open and freely accessible translation services for those two languages for the general purpose and for domain-specific use. We have released new data sets with over 3 million translation units, a benchmark test set for MT development, pre-trained neural MT models with high coverage and competitive performance and a self-contained MT plugin for a popular CAT tool. The latter enables offline translation without dependencies on external services making it possible to work with highly sensitive data without compromising security concerns.
Originalspråkengelska
Titel på gästpublikationProceedings of the 12th Language Resources and Evaluation Conference
RedaktörerNicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Antal sidor8
UtgivningsortParis
FörlagEuropean Language Resources Association (ELRA)
Utgivningsdatum1 maj 2020
Sidor3808-3815
ISBN (elektroniskt)979-10-95546-34-4
StatusPublicerad - 1 maj 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangLanguage Resources and Evaluation Conference - [LREC 2020 was cancelled]
Varaktighet: 11 maj 202016 maj 2020
Konferensnummer: 12
https://lrec2020.lrec-conf.org/

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