Search Results for author: Pieter Spronck

Found 3 papers, 2 papers with code

Tailoring Domain Adaptation for Machine Translation Quality Estimation

1 code implementation18 Apr 2023 Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain, Eva Vanmassenhove, Mirella De Sisto, Chris Emmery, Pieter Spronck

While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data.

Data Augmentation Domain Adaptation +3

Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts

1 code implementation11 Dec 2021 Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck

We then select the top K sentences with the highest similarity score to train a new machine translation system tuned to the specific in-domain data.

Machine Translation Translation

Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP)

no code implementations25 Aug 2020 Christoph Salge, Emily Short, Mike Preuss, Spyridion Samothrakis, Pieter Spronck

Live Action Role-Playing (LARP) games and similar experiences are becoming a popular game genre.

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