Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Atnafu Lambebo Tonja"'
Autor:
Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, Chris Chinenye Emezue, Sahib Singh, Bonaventure F. P. Dossou, Joanne Osuchukwu, Salomey Osei, Atnafu Lambebo Tonja, Naome Etori, Clinton Mbataku
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/c8a080d592784263babf8c2c4483c643
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 1201 (2023)
Despite the many proposals to solve the neural machine translation (NMT) problem of low-resource languages, it continues to be difficult. The issue becomes even more complicated when few resources cover only a single domain. In this paper, we discuss
Externí odkaz:
https://doaj.org/article/c1e6be9241ce46189c902baa838d2f2a
Autor:
Houcemeddine Turki, Houda Sekkal, Anastassios Pouris, Francis-Alfred Michaelangelo Ifeanyichukwu, Catherine Namayega, Hanae Lrhoul, Mohamed Ali Hadj Taieb, Sadiq Adewale Adedayo, Chris Fourie, Christopher Brian Currin, Mercy Nyamewaa Asiedu, Atnafu Lambebo Tonja, Abraham Toluwase Owodunni, Abdulhameed Dere, Chris Chinenye Emezue, Shamsuddeen Hassan Muhammad, Muhammad Musa Isa, Mus'ab Banat, Mohamed Ben Aouicha
Machine learning has seen enormous growth in the last decade, with healthcare being a prime application for advanced diagnostics and improved patient care. The application of machine learning for healthcare is particularly pertinent in Africa, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::271d08d49e3f04c7c85f739d0b1abd4c
https://doi.org/10.20944/preprints202302.0010.v2
https://doi.org/10.20944/preprints202302.0010.v2
Autor:
Atnafu Lambebo Tonja, Tadesse Destaw Belay, Olga Kolesnikova, Seid Muhie Yimam, Abinew Ali Ayele, Grigori Sidorov, Alexander Gelbukh
Recently, using deep neural networks for machine translation (MT) tasks has received great attention. In order for these networks to learn abstract representations of the input and store them as continuous vectors, they need a lot of data. However, v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb91dee2435d6df3e7253d58be1cc397
https://doi.org/10.21203/rs.3.rs-2494763/v1
https://doi.org/10.21203/rs.3.rs-2494763/v1
Autor:
Tadesse Destaw Belay, Atnafu Lambebo Tonja, Olga Kolesnikova, Seid Muhie Yimam, Abinew Ali Ayele, Silesh Bogale Haile, Grigori Sidorov, Alexander Gelbukh
Machine translation (MT) is one of the main tasks in natural language processing whose objective is to translate texts automatically from one natural language to another. Nowadays, using deep neural networks for MT tasks has received great attention.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0b3fb67f6164a6387e853bba73828
http://arxiv.org/abs/2210.15224
http://arxiv.org/abs/2210.15224
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030937089
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0831f619d2500ed8190f87f015ffc36
https://doi.org/10.1007/978-3-030-93709-6_32
https://doi.org/10.1007/978-3-030-93709-6_32
Publikováno v:
Advances in Computational Intelligence ISBN: 9783031194955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::607faae006f674fc26379e4816c69c17
https://doi.org/10.1007/978-3-031-19496-2_3
https://doi.org/10.1007/978-3-031-19496-2_3
Publikováno v:
2021 International Conference on Information and Communication Technology for Development for Africa (ICT4DA).