Adaptive CAT-embedded MT for low-memory, low-compute end-user devices

Marek Sabo


Abstract
We present ACATMT, a compact bilingual encoder-decoder NMT system for English and Swedish, designed for professional computer-assisted translation (CAT) tools. It runs on-device in ONNX format, under 1 GB of RAM with no GPU needed, and features real-time post-edit based terminology adaptation. It also supports translation memory conditioning via decoder prefilling. Evaluation on 5,021 technical segments unseen during training shows significant improvements in COMET and BLEU when using glossaries.
Anthology ID:
2026.eamt-2.14
Volume:
Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
Month:
June
Year:
2026
Address:
Tilburg, The Netherlands
Editors:
Dimitar Shterionov, Eva Vanmassenhove, Mirella De Sisto, Fred Blain, Javad Pourmostafa Roshan Sharami, Lisa Lepp, Chiara Manna, Argentina Anna Rescigno, Alina Karakanta, Ayla Rigouts Terryn, Manuel Lardelli, Natalia Resende, Elena Murgolo, Janiça Hackenbuchner, Anna Zaretskaya, Miquel Esplà-Gomis, Thierry Etchegoyhen, Dagmar Gromann, Rachel Bawden, Barry Haddow, Sara Szoc, Mikel Forcada, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
29–30
Language:
URL:
https://aclanthology.org/2026.eamt-2.14/
DOI:
Bibkey:
Cite (ACL):
Marek Sabo. 2026. Adaptive CAT-embedded MT for low-memory, low-compute end-user devices. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 29–30, Tilburg, The Netherlands. European Association for Machine Translation.
Cite (Informal):
Adaptive CAT-embedded MT for low-memory, low-compute end-user devices (Sabo, EAMT 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.eamt-2.14.pdf