HausaNLP

Despite Hausa language being the second most spoken language in Africa and 27th in the world, there are no language resources for Hausa natural language processing (NLP). We are open source community aim to promote HausaNLP by developing Hausa language resources, promote HausaNLP research, and collaboration among relevant stakeholders.

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Recent Publications

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Saminu Aliyu, Saheed Abdullahi, \textbfShamsuddeen Hassan Muhammad, Ibrahim Sa'id Ahmad, Idris Abdulmumin, Aliyu Yusuf, Falalu Lawan (2023). HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification.

Shantipriya Parida, Idris Abdulmumin, \textbfShamsuddeen Hassan Muhammad, Aneesh Bose, Guneet Singh Kohli, Ibrahim Sa'id Ahmad, Ketan Kotwal, Sayan Deb Sarkar, Ondřej Bojar, Habeebah Kakudi (2023). HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language.

Shamsuddeen \textbfMuhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Sa'id Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif M. Mohammad, Meriem Beloucif, Sebastian Ruder (2023). SemEval 2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval). Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023).

URL

Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa'id Ahmad, Meriem Beloucif, Saif Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis Davis, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Steven Arthur (2023). AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. arXiv.

DOI URL

Saminu Aliyu, Gregory Wajiga, Muhammad Murtala, \textbfShamsuddeen Muhammad, Idris Abdulmumin, Ibrahim Ahmad (2022). HERDPhobia: A Dataset for Hate Speech Detection against Fulani Herdsmen in Nigeria. Proceedings of the Sixth Workshop on Widening Natural Language Processing.

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Meet the Team

Researchers

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Abdullahi Saheed Salahudeen

Lecturer in Computer Science at Kaduna State University (KASU)

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Ahamdu Shehu

Assistant Professor of English and Literature at the American University of Nigeria, Yola

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Amina Imam Abubakar

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Auwal Shehu Ali

Lecturer in Computer Science at Bayero University,Kano (BUK)

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Bello Shehu Bello

Lecturer in Computer Science at Bayero University,Kano (BUK)

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Dr. Moussa Garba

Founder, Hausa Hackathon Africa

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Ibrahim Said Ahmad

Lecturer in Information Technology at Bayero University,Kano (BUK)

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Idris Abdulmuminu

Lecturer in Computer Science at Ahmadu Bello University, Zaria (ABU)

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Jaafar Zubairu Maitama

Lecturer in Information Technology at Bayero University,Kano (BUK)

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Mahmud Yusuf Ahmad

Lecturer in Computer Science at Bayero University,Kano (BUK)

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Murja Sani Gadanya

Lecturer in Information Technology at Bayero University, Kano

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Saminu Mohammad Aliyu

Lecturer in Computer Science at Bayero University,Kano (BUK)

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Sanah Abdullahi Muaz

Lecturer in Software Engineering at Bayero University,Kano (BUK)

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Shamsuddeen Hassan Muhammad

Lecturer in Computer Science at Bayero University,Kano (BUK)

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Tajuddeen Rabiu Gwadabe

PhD candiate in Computer Science, University of Chinese Academy of Sciences, China.

Blog

Oct 17, 2021 1 min read

HausaNLP Research Group got funding from Lacuna Fund.

The HausaNLP proposal called SentiNaija is one of the selected projects in the Lacuna Language 2020 Awards, an action promoted by Lacuna Fund, the first collaborative initiative in the world dedicated to providing the resources that data scientists, researchers, and social entrepreneurs need to produce labelled datasets in order to address the main issues within their communities.
Jan 18, 2021 4 min read

Sentiment Corpus Generation in Low Resource Language A bumpy Journey

Introduction Sentiment analysis (SA) is one of the most trending research areas in Artificial Intelligence (AI). Sentiment analysis is a technique used to identify the sentiments contained in natural language, which is mostly shared on social media platforms.

Projects

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All Hausa Sentiment Analysis Hausa Machine Translation Hausa Corpus
Development of Nigerian Twitter Sentiment Corpus

Development of Nigerian Twitter Sentiment Corpus

NaijaSenti: Nigerian Twitter Sentiment Corpus

Hausa Multimodal Machine Translation

Hausa Multimodal Machine Translation

Hausa Machine Translation