10 citations · 30 across the 9 of their papers we have counts for
9 papers · 1 filter
Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languages
Stephen E. Moore, Akwasi Asare, Mich-Seth Owusu +3
This paper presents an end-to-end study of automatic speech recognition (ASR) for adolescent health communication in three Ghanaian languages (Twi, Dagbani, and Ewe). The work proc…
DONDO: Open w2v-BERT Speech-Recognition Base Models for African Languages
Paul Azunre, Naafi Ibrahim, Joel Budu +1
We present DONDO, a family of open, permissively licensed automatic speech recognition (ASR) base models for African languages, built on the w2v-BERT 2.0 self-supervised speech enc…
Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages
Stephen E. Moore, Mich-Seth Owusu, Akwasi Asare +13
Large language models (LLMs) have demonstrated impressive multilingual capabilities for well-resourced languages, yet their performance on low-resource African languages remains po…
GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages
Lawrence Adu Gyamfi, Paul Azunre, Stephen Edward Moore +4
Low resource languages present unique challenges for natural language processing due to the limited availability of digitized and well structured linguistic data. To address this g…
English-Twi Parallel Corpus for Machine Translation
Paul Azunre, Salomey Osei, Salomey Addo +24
We present a parallel machine translation training corpus for English and Akuapem Twi of 25,421 sentence pairs. We used a transformer-based translator to generate initial translati…
NLP for Ghanaian Languages
Paul Azunre, Salomey Osei, Salomey Addo +24
NLP Ghana is an open-source non-profit organization aiming to advance the development and adoption of state-of-the-art NLP techniques and digital language tools to Ghanaian languag…
Contextual Text Embeddings for Twi
Paul Azunre, Salomey Osei, Salomey Addo +24
Transformer-based language models have been changing the modern Natural Language Processing (NLP) landscape for high-resource languages such as English, Chinese, Russian, etc. Howe…
Using Deep Networks and Transfer Learning to Address Disinformation
Numa Dhamani, Paul Azunre, Jeffrey L. Gleason +4
We apply an ensemble pipeline composed of a character-level convolutional neural network (CNN) and a long short-term memory (LSTM) as a general tool for addressing a range of disin…
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks
Paul Azunre, Craig Corcoran, Numa Dhamani +6
A character-level convolutional neural network (CNN) motivated by applications in "automated machine learning" (AutoML) is proposed to semantically classify columns in tabular data…