60 citations · 67 across the 9 of their papers we have counts for
9 papers
Co-creation for Sign Language Processing and Machine Translation
Lisa Lepp, Dimitar Shterionov, Mirella De Sisto +1
Sign language machine translation (SLMT) -- the task of automatically translating between sign and spoken languages or between sign languages -- is a complex task within the field…
AI in Support of Diversity and Inclusion
Çiçek Güven, Afra Alishahi, Henry Brighton +7
In this paper, we elaborate on how AI can support diversity and inclusion and exemplify research projects conducted in that direction. We start by looking at the challenges and pro…
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck
The quality of output from large language models (LLMs), particularly in machine translation (MT), is closely tied to the quality of in-context examples (ICEs) provided along with…
Tailoring Domain Adaptation for Machine Translation Quality Estimation
Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain +4
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular…
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation
J. Pourmostafa Roshan Sharami, D. Shterionov, P. Spronck
The effectiveness of Neural Machine Translation (NMT) models largely depends on the vocabulary used at training; small vocabularies can lead to out-of-vocabulary problems -- large…
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
Ali Boluki, Javad Pourmostafa Roshan Sharami, Dimitar Shterionov
Businesses and customers can gain valuable information from product reviews. The sheer number of reviews often necessitates ranking them based on their potential helpfulness. Howev…
The Ecological Footprint of Neural Machine Translation Systems
Dimitar Shterionov, Eva Vanmassenhove
Over the past decade, deep learning (DL) has led to significant advancements in various fields of artificial intelligence, including machine translation (MT). These advancements wo…
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges
Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe +1
Automatic translation from signed to spoken languages is an interdisciplinary research domain, lying on the intersection of computer vision, machine translation and linguistics. Ne…
Evaluating performance of hybrid quantum optimization algorithms for MAXCUT Clustering using IBM runtime environment
Daniel Beaulieu, Anh Pham
Quantum algorithms can be used to perform unsupervised machine learning tasks like data clustering by mapping the distance between data points to a graph optimization problem (i.e.…