Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Emezue, Chris Chinenye"'
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:
Owodunni, Abraham Toluwase, Yadavalli, Aditya, Emezue, Chris Chinenye, Olatunji, Tobi, Mbataku, Clinton C
Despite advancements in speech recognition, accented speech remains challenging. While previous approaches have focused on modeling techniques or creating accented speech datasets, gathering sufficient data for the multitude of accents, particularly
Externí odkaz:
http://arxiv.org/abs/2402.01152
Autor:
Turki, Houcemeddine, Etori, Naome A., Taieb, Mohamed Ali Hadj, Omotayo, Abdul-Hakeem, Emezue, Chris Chinenye, Aouicha, Mohamed Ben, Awokoya, Ayodele, Lawan, Falalu Ibrahim, Nixdorf, Doreen
This paper investigates the role of text categorization in streamlining stopword extraction in natural language processing (NLP), specifically focusing on nine African languages alongside French. By leveraging the MasakhaNEWS, African Stopwords Proje
Externí odkaz:
http://arxiv.org/abs/2401.13398
Autor:
Olatunji, Tobi, Afonja, Tejumade, Yadavalli, Aditya, Emezue, Chris Chinenye, Singh, Sahib, Dossou, Bonaventure F. P., Osuchukwu, Joanne, Osei, Salomey, Tonja, Atnafu Lambebo, Etori, Naome, Mbataku, Clinton
Africa has a very low doctor-to-patient ratio. At very busy clinics, doctors could see 30+ patients per day -- a heavy patient burden compared with developed countries -- but productivity tools such as clinical automatic speech recognition (ASR) are
Externí odkaz:
http://arxiv.org/abs/2310.00274
The practical utility of causality in decision-making is widespread and brought about by the intertwining of causal discovery and causal inference. Nevertheless, a notable gap exists in the evaluation of causal discovery methods, where insufficient e
Externí odkaz:
http://arxiv.org/abs/2307.04988
Autor:
Olatunji, Tobi, Afonja, Tejumade, Dossou, Bonaventure F. P., Tonja, Atnafu Lambebo, Emezue, Chris Chinenye, Rufai, Amina Mardiyyah, Singh, Sahib
Useful conversational agents must accurately capture named entities to minimize error for downstream tasks, for example, asking a voice assistant to play a track from a certain artist, initiating navigation to a specific location, or documenting a la
Externí odkaz:
http://arxiv.org/abs/2306.00253
Autor:
Dione, Cheikh M. Bamba, Adelani, David, Nabende, Peter, Alabi, Jesujoba, Sindane, Thapelo, Buzaaba, Happy, Muhammad, Shamsuddeen Hassan, Emezue, Chris Chinenye, Ogayo, Perez, Aremu, Anuoluwapo, Gitau, Catherine, Mbaye, Derguene, Mukiibi, Jonathan, Sibanda, Blessing, Dossou, Bonaventure F. P., Bukula, Andiswa, Mabuya, Rooweither, Tapo, Allahsera Auguste, Munkoh-Buabeng, Edwin, Koagne, victoire Memdjokam, Kabore, Fatoumata Ouoba, Taylor, Amelia, Kalipe, Godson, Macucwa, Tebogo, Marivate, Vukosi, Gwadabe, Tajuddeen, Elvis, Mboning Tchiaze, Onyenwe, Ikechukwu, Atindogbe, Gratien, Adelani, Tolulope, Akinade, Idris, Samuel, Olanrewaju, Nahimana, Marien, Musabeyezu, Théogène, Niyomutabazi, Emile, Chimhenga, Ester, Gotosa, Kudzai, Mizha, Patrick, Agbolo, Apelete, Traore, Seydou, Uchechukwu, Chinedu, Yusuf, Aliyu, Abdullahi, Muhammad, Klakow, Dietrich
In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the UD (universal dependencies) guidelines. We conduc
Externí odkaz:
http://arxiv.org/abs/2305.13989
Autor:
Adelani, David Ifeoluwa, Masiak, Marek, Azime, Israel Abebe, Alabi, Jesujoba, Tonja, Atnafu Lambebo, Mwase, Christine, Ogundepo, Odunayo, Dossou, Bonaventure F. P., Oladipo, Akintunde, Nixdorf, Doreen, Emezue, Chris Chinenye, al-azzawi, sana, Sibanda, Blessing, David, Davis, Ndolela, Lolwethu, Mukiibi, Jonathan, Ajayi, Tunde, Moteu, Tatiana, Odhiambo, Brian, Owodunni, Abraham, Obiefuna, Nnaemeka, Mohamed, Muhidin, Muhammad, Shamsuddeen Hassan, Ababu, Teshome Mulugeta, Salahudeen, Saheed Abdullahi, Yigezu, Mesay Gemeda, Gwadabe, Tajuddeen, Abdulmumin, Idris, Taye, Mahlet, Awoyomi, Oluwabusayo, Shode, Iyanuoluwa, Adelani, Tolulope, Abdulganiyu, Habiba, Omotayo, Abdul-Hakeem, Adeeko, Adetola, Afolabi, Abeeb, Aremu, Anuoluwapo, Samuel, Olanrewaju, Siro, Clemencia, Kimotho, Wangari, Ogbu, Onyekachi, Mbonu, Chinedu, Chukwuneke, Chiamaka, Fanijo, Samuel, Ojo, Jessica, Awosan, Oyinkansola, Kebede, Tadesse, Sakayo, Toadoum Sari, Nyatsine, Pamela, Sidume, Freedmore, Yousuf, Oreen, Oduwole, Mardiyyah, Tshinu, Tshinu, Kimanuka, Ussen, Diko, Thina, Nxakama, Siyanda, Nigusse, Sinodos, Johar, Abdulmejid, Mohamed, Shafie, Hassan, Fuad Mire, Mehamed, Moges Ahmed, Ngabire, Evrard, Jules, Jules, Ssenkungu, Ivan, Stenetorp, Pontus
African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are being expanded to different tasks, only a handful of NLP tasks (e.g. n
Externí odkaz:
http://arxiv.org/abs/2304.09972
Autor:
Leong, Colin, Shandilya, Herumb, Dossou, Bonaventure F. P., Tonja, Atnafu Lambebo, Mathew, Joel, Omotayo, Abdul-Hakeem, Yousuf, Oreen, Akinjobi, Zainab, Emezue, Chris Chinenye, Muhammad, Shamsudeen, Kolawole, Steven, Choi, Younwoo, Adewumi, Tosin
Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources added to the issue of data scarcity of African languages constitutes
Externí odkaz:
http://arxiv.org/abs/2303.16985
Autor:
Emezue, Chris Chinenye, Gandhi, Sanchit, Tunstall, Lewis, Abid, Abubakar, Meyer, Josh, Lhoest, Quentin, Allen, Pete, Von Platen, Patrick, Kiela, Douwe, Jernite, Yacine, Chaumond, Julien, Noyan, Merve, Sanseviero, Omar
The advancement of speech technologies has been remarkable, yet its integration with African languages remains limited due to the scarcity of African speech corpora. To address this issue, we present AfroDigits, a minimalist, community-driven dataset
Externí odkaz:
http://arxiv.org/abs/2303.12582