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pro vyhledávání: '"Adeyemi, Mofe"'
Autor:
Adelani, David I., Ruiter, Dana, Alabi, Jesujoba O., Adebonojo, Damilola, Ayeni, Adesina, Adeyemi, Mofe, Awokoya, Ayodele, España-Bonet, Cristina
Massively multilingual machine translation (MT) has shown impressive capabilities, including zero and few-shot translation between low-resource language pairs. However, these models are often evaluated on high-resource languages with the assumption t
Externí odkaz:
http://arxiv.org/abs/2103.08647
Autor:
Nekoto, Wilhelmina, Marivate, Vukosi, Matsila, Tshinondiwa, Fasubaa, Timi, Kolawole, Tajudeen, Fagbohungbe, Taiwo, Akinola, Solomon Oluwole, Muhammad, Shamsuddeen Hassan, Kabongo, Salomon, Osei, Salomey, Freshia, Sackey, Niyongabo, Rubungo Andre, Macharm, Ricky, Ogayo, Perez, Ahia, Orevaoghene, Meressa, Musie, Adeyemi, Mofe, Mokgesi-Selinga, Masabata, Okegbemi, Lawrence, Martinus, Laura Jane, Tajudeen, Kolawole, Degila, Kevin, Ogueji, Kelechi, Siminyu, Kathleen, Kreutzer, Julia, Webster, Jason, Ali, Jamiil Toure, Abbott, Jade, Orife, Iroro, Ezeani, Ignatius, Dangana, Idris Abdulkabir, Kamper, Herman, Elsahar, Hady, Duru, Goodness, Kioko, Ghollah, Murhabazi, Espoir, van Biljon, Elan, Whitenack, Daniel, Onyefuluchi, Christopher, Emezue, Chris, Dossou, Bonaventure, Sibanda, Blessing, Bassey, Blessing Itoro, Olabiyi, Ayodele, Ramkilowan, Arshath, Öktem, Alp, Akinfaderin, Adewale, Bashir, Abdallah
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a complex problem going beyond data availability and reflects systemic proble
Externí odkaz:
http://arxiv.org/abs/2010.02353