Papers by Tommi Nieminen

2 papers
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning (2021.eacl-demos)

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Challenge: Neural machine translation (NMT) has brought about a dramatic increase in the quality of machine translation in the past five years.
Approach: OPUS-CAT is a collection of software which enables translators to use neural machine translation in computer-assisted translation tools without exposing themselves to security and confidentiality risks.
Outcome: OPUS-CAT is a collection of software which enables translators to use neural machine translation in computer-assisted translation tools without exposing themselves to security and confidentiality risks.
The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research (2020.lrec-1)

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Challenge: Finnish and Swedish are the two official languages of Finland.
Approach: They propose to compile a massive corpus of translated material between Finnish and Swedish . they also aim to develop open and freely accessible translation services for those two languages .
Outcome: The project aims to develop open and freely accessible translation services for Finnish and Swedish.

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