Search Results for author: Ibrahim Said Ahmad

Found 9 papers, 5 papers with code

Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages

no code implementations20 Nov 2023 Idris Abdulmumin, Auwal Abubakar Khalid, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Lukman Jibril Aliyu, Babangida Sani, Bala Mairiga Abduljalil, Sani Ahmad Hassan

The importance of qualitative parallel data in machine translation has long been determined but it has always been very difficult to obtain such in sufficient quantity for the majority of world languages, mainly because of the associated cost and also the lack of accessibility to these languages.

Machine Translation Sentence +1

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification

no code implementations28 Apr 2023 Saminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Saheed Abdullahi Salahudeen, Aliyu Yusuf, Falalu Ibrahim Lawan

We present the findings of our participation in the SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) task, a shared task on offensive language (sexism) detection on English Gab and Reddit dataset.

Classification Sentiment Analysis +2

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

2 code implementations LREC 2022 Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Said Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Salahudeen Abdullahi, Anuoluwapo Aremu, Alipio Jeorge, Pavel Brazdil

We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria (Hausa, Igbo, Nigerian-Pidgin, and Yor\`ub\'a ) consisting of around 30, 000 annotated tweets per language (and 14, 000 for Nigerian-Pidgin), including a significant fraction of code-mixed tweets.

Sentiment Analysis

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