177 citations
- Ahmadu Bello UniversityNG4 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Federal University Dutse2 papers
- Sorbonne UniversitéFR2 papers
- Abubakar Tafawa Balewa UniversityNG1 paper
- Allen Institute for Artificial IntelligenceUS1 paper
- Ambo UniversityET1 paper
- Bilkent UniversityTR1 paper
- Changchun University of Science and TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- Constructor UniversityDE1 paper
- Department of Biological SciencesBY1 paper
8 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-…
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews
Umar Ibrahim, Abubakar Yakubu Zandam, Fatima Muhammad Adam +1
Aspect-based Sentiment Analysis (ABSA) is crucial for understanding sentiment nuances in text, especially across diverse languages and cultures. This paper introduces a novel Deep…
Deep Sequence Models for Text Classification Tasks
Saheed Salahudeen Abdullahi, Sun Yiming, Shamsuddeen Hassan Muhammad +5
The exponential growth of data generated on the Internet in the current information age is a driving force for the digital economy. Extraction of information is the major value in…
Self-harm: detection and support on Twitter
Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello +1
Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participant…
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang +49
With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, web-mined text dataset…
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…