48 citations · 102 across the 18 of their papers we have counts for
19 papers · 1 filter
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?
Idris Abdulmumin, Bashir Shehu Galadanci, Garba Aliyu +1
Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-…
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +7
This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually translating 6,022 Engli…
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam +7
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeva…
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification
Saminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +4
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…
MasakhaNEWS: News Topic Classification for African languages
David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62
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…
The African Stopwords project: curating stopwords for African languages
Chris Emezue, Hellina Nigatu, Cynthia Thinwa +19
Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwor…
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele +23
Africa is home to over 2,000 languages from more than six language families and has the highest linguistic diversity among all continents. These include 75 languages with at least…
HERDPhobia: A Dataset for Hate Speech against Fulani in Nigeria
Saminu Mohammad Aliyu, Gregory Maksha Wajiga, Muhammad Murtala +3
Social media platforms allow users to freely share their opinions about issues or anything they feel like. However, they also make it easier to spread hate and abusive content. The…
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42
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 o…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi +8
We participated in the WMT 2022 Large-Scale Machine Translation Evaluation for the African Languages Shared Task. This work describes our approach, which is based on filtering the…
Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation
Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud +7
Multi-modal Machine Translation (MMT) enables the use of visual information to enhance the quality of translations. The visual information can serve as a valuable piece of context…
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42
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 dat…
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis
Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder +9
Sentiment analysis is one of the most widely studied applications in NLP, but most work focuses on languages with large amounts of data. We introduce the first large-scale human-an…
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa +2
Many language pairs are low resource, meaning the amount and/or quality of available parallel data is not sufficient to train a neural machine translation (NMT) model which can rea…
Enhanced back-translation for low resource neural machine translation using self-training
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa
Improving neural machine translation (NMT) models using the back-translations of the monolingual target data (synthetic parallel data) is currently the state-of-the-art approach fo…
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa
An effective method to generate a large number of parallel sentences for training improved neural machine translation (NMT) systems is the use of back-translations of the target-si…
Tag-less Back-Translation
Idris Abdulmumin, Bashir Shehu Galadanci, Aliyu Garba
An effective method to generate a large number of parallel sentences for training improved neural machine translation (NMT) systems is the use of the back-translations of the targe…
hauWE: Hausa Words Embedding for Natural Language Processing
Idris Abdulmumin, Bashir Shehu Galadanci
Words embedding (distributed word vector representations) have become an essential component of many natural language processing (NLP) tasks such as machine translation, sentiment…