Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jezia Zakraoui"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7088 (2024)
Neural machine translation (NMT) has shown impressive performance when trained on large-scale corpora. However, generic NMT systems have demonstrated poor performance on out-of-domain translation. To mitigate this issue, several domain adaptation met
Externí odkaz:
https://doaj.org/article/6ae4dd586bfc43a680cdc8eb704fcfdb
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 5107 (2023)
Generating automatic visualization from natural language texts is an important task for promoting language learning and literacy development for young children and language learners. However, translating a text into a coherent visualization matching
Externí odkaz:
https://doaj.org/article/2e379fb03e8144e9b9cc4fe52e31c526
Publikováno v:
IEEE Access, Vol 9, Pp 161445-161468 (2021)
In recent years, computer language area has witnessed important evolvement with applications in different domains. Machine Translation MT technology, considered as a subfield, has received important development with different approaches and technique
Externí odkaz:
https://doaj.org/article/7efaece498444fe391ee9cd6031bd933
Publikováno v:
IEEE Access, Vol 7, Pp 18772-18782 (2019)
In this paper, we introduce an approach to automatically convert simple modern standard Arabic children's stories to the best representative images that can efficiently illustrate the meaning of words. It is a kind of imitating the imaginative proces
Externí odkaz:
https://doaj.org/article/60e9b901cddb47c58c03610f4a0892a5
Publikováno v:
Education and Information Technologies. 28:1783-1808
Emotion and focus of children during handwriting are essential for language learning. Handwriting for young children is challenging because it needs deep motivation and willingness to complete the task regardless of its difficulty. Recently, emerged
Publikováno v:
2022 International Conference on Computer and Applications (ICCA).
Publikováno v:
Artificial Intelligence and Online Engineering ISBN: 9783031170904
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb88f511a6d99f030da3a1ba33b0f62
https://doi.org/10.1007/978-3-031-17091-1_54
https://doi.org/10.1007/978-3-031-17091-1_54
Publikováno v:
2021 31st International Conference on Computer Theory and Applications (ICCTA).
Autor:
Jezia Zakraoui, Somaya Al Maadeed, Mohamed Samir Abou El-Seoud, Jihad M. Alja'am, Moutaz Salah
Publikováno v:
2021 10th International Conference on Software and Information Engineering (ICSIE).
Publikováno v:
IEEE Access, Vol 7, Pp 18772-18782 (2019)
In this paper, we introduce an approach to automatically convert simple modern standard Arabic children’s stories to the best representative images that can efficiently illustrate the meaning of words. It is a kind of imitating the imaginative proc