Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Okoh, Ifeoma"'
Autor:
Emezue, Chris Chinenye, Okoh, Ifeoma, Mbonu, Chinedu, Chukwuneke, Chiamaka, Lal, Daisy, Ezeani, Ignatius, Rayson, Paul, Onwuzulike, Ijemma, Okeke, Chukwuma, Nweya, Gerald, Ogbonna, Bright, Oraegbunam, Chukwuebuka, Awo-Ndubuisi, Esther Chidinma, Osuagwu, Akudo Amarachukwu, Nmezi, Obioha
The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communication, learning and preservation. To create robust, impactful, and wi
Externí odkaz:
http://arxiv.org/abs/2405.00997
Autor:
Singh, Shivalika, Vargus, Freddie, Dsouza, Daniel, Karlsson, Börje F., Mahendiran, Abinaya, Ko, Wei-Yin, Shandilya, Herumb, Patel, Jay, Mataciunas, Deividas, OMahony, Laura, Zhang, Mike, Hettiarachchi, Ramith, Wilson, Joseph, Machado, Marina, Moura, Luisa Souza, Krzemiński, Dominik, Fadaei, Hakimeh, Ergün, Irem, Okoh, Ifeoma, Alaagib, Aisha, Mudannayake, Oshan, Alyafeai, Zaid, Chien, Vu Minh, Ruder, Sebastian, Guthikonda, Surya, Alghamdi, Emad A., Gehrmann, Sebastian, Muennighoff, Niklas, Bartolo, Max, Kreutzer, Julia, Üstün, Ahmet, Fadaee, Marzieh, Hooker, Sara
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-trained models on a diverse set of tasks that ena
Externí odkaz:
http://arxiv.org/abs/2402.06619
Autor:
Oyewusi, Wuraola Fisayo, Adekanmbi, Olubayo, Okoh, Ifeoma, Onuigwe, Vitus, Salami, Mary Idera, Osakuade, Opeyemi, Ibejih, Sharon, Musa, Usman Abdullahi
Most of the common applications of Named Entity Recognition (NER) is on English and other highly available languages. In this work, we present our findings on Named Entity Recognition for 5 Nigerian Languages (Nigerian English, Nigerian Pidgin Englis
Externí odkaz:
http://arxiv.org/abs/2105.00810