Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kalipe, Godson"'
Autor:
Adelani, David Ifeoluwa, Ojo, Jessica, Azime, Israel Abebe, Zhuang, Jian Yun, Alabi, Jesujoba O., He, Xuanli, Ochieng, Millicent, Hooker, Sara, Bukula, Andiswa, Lee, En-Shiun Annie, Chukwuneke, Chiamaka, Buzaaba, Happy, Sibanda, Blessing, Kalipe, Godson, Mukiibi, Jonathan, Kabongo, Salomon, Yuehgoh, Foutse, Setaka, Mmasibidi, Ndolela, Lolwethu, Odu, Nkiruka, Mabuya, Rooweither, Muhammad, Shamsuddeen Hassan, Osei, Salomey, Samb, Sokhar, Guge, Tadesse Kebede, Stenetorp, Pontus
Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource languages (e.g. African languages) are often evaluated only on basic text
Externí odkaz:
http://arxiv.org/abs/2406.03368
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, Neubig, Graham, Ruder, Sebastian, Rijhwani, Shruti, Beukman, Michael, Palen-Michel, Chester, Lignos, Constantine, Alabi, Jesujoba O., Muhammad, Shamsuddeen H., Nabende, Peter, Dione, Cheikh M. Bamba, Bukula, Andiswa, Mabuya, Rooweither, Dossou, Bonaventure F. P., Sibanda, Blessing, Buzaaba, Happy, Mukiibi, Jonathan, Kalipe, Godson, Mbaye, Derguene, Taylor, Amelia, Kabore, Fatoumata, Emezue, Chris Chinenye, Aremu, Anuoluwapo, Ogayo, Perez, Gitau, Catherine, Munkoh-Buabeng, Edwin, Koagne, Victoire M., Tapo, Allahsera Auguste, Macucwa, Tebogo, Marivate, Vukosi, Mboning, Elvis, Gwadabe, Tajuddeen, Adewumi, Tosin, Ahia, Orevaoghene, Nakatumba-Nabende, Joyce, Mokono, Neo L., Ezeani, Ignatius, Chukwuneke, Chiamaka, Adeyemi, Mofetoluwa, Hacheme, Gilles Q., Abdulmumin, Idris, Ogundepo, Odunayo, Yousuf, Oreen, Ngoli, Tatiana Moteu, Klakow, Dietrich
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability of annotated datasets, as well as a lack of understanding of the settin
Externí odkaz:
http://arxiv.org/abs/2210.12391
Autor:
Adelani, David Ifeoluwa, Alabi, Jesujoba Oluwadara, Fan, Angela, Kreutzer, Julia, Shen, Xiaoyu, Reid, Machel, Ruiter, Dana, Klakow, Dietrich, Nabende, Peter, Chang, Ernie, Gwadabe, Tajuddeen, Sackey, Freshia, Dossou, Bonaventure F. P., Emezue, Chris Chinenye, Leong, Colin, Beukman, Michael, Muhammad, Shamsuddeen Hassan, Jarso, Guyo Dub, Yousuf, Oreen, Rubungo, Andre Niyongabo, Hacheme, Gilles, Wairagala, Eric Peter, Nasir, Muhammad Umair, Ajibade, Benjamin Ayoade, Ajayi, Tunde Oluwaseyi, Gitau, Yvonne Wambui, Abbott, Jade, Ahmed, Mohamed, Ochieng, Millicent, Aremu, Anuoluwapo, Ogayo, Perez, Mukiibi, Jonathan, Kabore, Fatoumata Ouoba, Kalipe, Godson Koffi, Mbaye, Derguene, Tapo, Allahsera Auguste, Koagne, Victoire Memdjokam, Munkoh-Buabeng, Edwin, Wagner, Valencia, Abdulmumin, Idris, Awokoya, Ayodele, Buzaaba, Happy, Sibanda, Blessing, Bukula, Andiswa, Manthalu, Sam
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages are not
Externí odkaz:
http://arxiv.org/abs/2205.02022
Autor:
Siminyu, Kathleen, Kalipe, Godson, Orlic, Davor, Abbott, Jade, Marivate, Vukosi, Freshia, Sackey, Sibal, Prateek, Neupane, Bhanu, Adelani, David I., Taylor, Amelia, ALI, Jamiil Toure, Degila, Kevin, Balogoun, Momboladji, DIOP, Thierno Ibrahima, David, Davis, Fourati, Chayma, Haddad, Hatem, Naski, Malek
Advances in speech and language technologies enable tools such as voice-search, text-to-speech, speech recognition and machine translation. These are however only available for high resource languages like English, French or Chinese. Without foundati
Externí odkaz:
http://arxiv.org/abs/2104.02516