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pro vyhledávání: '"Goodness Duru"'
Autor:
Afonja, Tejumade, Mudele, Oladimeji, Orife, Iroro, Dukor, Kenechi, Francis, Lawrence, Goodness, Duru, Azeez, Oluwafemi, Malomo, Ademola, Mbataku, Clinton
This paper describes foundational efforts with SautiDB-Naija, a novel corpus of non-native (L2) Nigerian English speech. We describe how the corpus was created and curated as well as preliminary experiments with accent classification and learning Nig
Externí odkaz:
http://arxiv.org/abs/2112.06199
Autor:
Blessing Itoro Bassey, Ghollah Kioko, Masabata Mokgesi-Selinga, Mofe Adeyemi, Musie Meressa, Julia Kreutzer, Herman Kamper, Rubungo Andre Niyongabo, Chris Chinenye Emezue, Arshath Ramkilowan, Taiwo Fagbohungbe, Timi E. Fasubaa, Hady Elsahar, Salomey Osei, Daniel Whitenack, Tajudeen Kolawole, Ignatius Ezeani, Shamsuddeen Hassan Muhammad, Kathleen Siminyu, Jamiil Toure Ali, Adewale Akinfaderin, Tshinondiwa Matsila, Bonaventure F. P. Dossou, Vukosi Marivate, Wilhelmina Nekoto, Idris Abdulkabir Dangana, Iroro Orife, Lawrence Okegbemi, Espoir Murhabazi, Salomon Kabongo, Orevaoghene Ahia, Alp Öktem, Ricky Macharm, Elan van Biljon, Jade Abbott, Kolawole Tajudeen, Blessing Sibanda, Perez Ogayo, Solomon Oluwole Akinola, Kelechi Ogueji, Christopher Onyefuluchi, Abdallah Bashir, Ayodele Olabiyi, Sackey Freshia, Kevin Degila, Jason Webster, Goodness Duru, Laura Martinus
Publikováno v:
EMNLP (Findings)
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