Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components
| العنوان: | Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components |
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| المؤلفون: | Vazquez R., Boggia M., Raganato A., Loppi N. A., Gronroos S. -A., Tiedemann J. |
| المساهمون: | Macken, L, Rufener, A, an den Bogaert, J, Daems, J, Tezcan, A, Vanroy, B, Fonteyne, M, Barrault, L, Costa-Jussa, MR, Kemp, E, Pilos, E, Declercq, C, Koponen, M, Forcada, ML, Scarton, C, Moniz, H, Vazquez, R, Boggia, M, Raganato, A, Loppi, N, Gronroos, S, Tiedemann, J |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Program processor, Shared network, Neural machine translation, Scale-up, Computational linguistic, Implementation support, Specific component, Machine translation model, Machine component, Modular, Bridge model, Latest development, Scaling-up, Network layer, Computer aided language translation |
| الوصف: | We give an update on the Found in Translation (FoTran) project, focusing on the study of emerging language-agnostic representations from neural machine translation (NMT). We describe our attention-bridge model, a modular NMT model which connects language-specific components through a shared network layer. Our latest implementation supports distributed training over many nodes and GPUs in order to substantially scale up the number of languages that can be included in a modern neural translation architecture. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=od______1299::e1887a8a88fcc00ae104dc5576dcc470 http://hdl.handle.net/10281/394431 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.od......1299..e1887a8a88fcc00ae104dc5576dcc470 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |