Arabic machine translation: A survey with challenges and future directions
In recent years, computer language area has witnessed important evolvement with
applications in different domains. Machine Translation MT technology, considered as a …
applications in different domains. Machine Translation MT technology, considered as a …
[HTML][HTML] Adopting machine translation in the healthcare sector: A methodological multi-criteria review
M Zappatore, G Ruggieri - Computer Speech & Language, 2024 - Elsevier
Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
A survey of domain adaptation for machine translation
Neural machine translation (NMT) is a deep learning based approach for machine
translation, which outperforms traditional statistical machine translation (SMT) and yields the …
translation, which outperforms traditional statistical machine translation (SMT) and yields the …
Unsupervised Domain Adaptation for Question Generation with Domain Data Selection and Self-training
Question generation (QG) approaches based on large neural models require (i) large-scale
and (ii) high-quality training data. These two requirements pose difficulties for specific …
and (ii) high-quality training data. These two requirements pose difficulties for specific …
Limsi@ wmt 2020
This paper describes LIMSI's submissions to the translation shared tasks at WMT'20. This
year we have focused our efforts on the biomedical translation task, developing a resource …
year we have focused our efforts on the biomedical translation task, developing a resource …
Urdu character recognition: A systematic literature review
The cursive nature of the Urdu text, where a particular character concatenated in different
words forms different shapes, makes it a complicated language for automatic character …
words forms different shapes, makes it a complicated language for automatic character …
Data augmentation and transfer learning for cross-lingual Named Entity Recognition in the biomedical domain
BS Lancheros, G Corpas Pastor, R Mitkov - Language Resources and …, 2024 - Springer
Given the increase in production of data for the biomedical field and the unstoppable growth
of the internet, the need for Information Extraction (IE) techniques has skyrocketed. Named …
of the internet, the need for Information Extraction (IE) techniques has skyrocketed. Named …
[HTML][HTML] Domain Adaptation for Arabic Machine Translation: Financial Texts as a Case Study
EA Alghamdi, J Zakraoui, FA Abanmy - Applied Sciences, 2024 - mdpi.com
Neural machine translation (NMT) has shown impressive performance when trained on
large-scale corpora. However, generic NMT systems have demonstrated poor performance …
large-scale corpora. However, generic NMT systems have demonstrated poor performance …
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts
EA Alghamdi, J Zakraoui, FA Abanmy - arXiv preprint arXiv:2309.12863, 2023 - arxiv.org
Neural machine translation (NMT) has shown impressive performance when trained on
large-scale corpora. However, generic NMT systems have demonstrated poor performance …
large-scale corpora. However, generic NMT systems have demonstrated poor performance …
On the exploration of English to Urdu machine translation
Abstract Machine Translation is the inevitable technology to reduce communication barriers
in today's world. It has made substantial progress in recent years and is being widely used in …
in today's world. It has made substantial progress in recent years and is being widely used in …