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Found 14 papers, 6 papers with code
Creation of an Evaluation Corpus and Baseline Evaluation Scores for Welsh Text Summarisation
As part of the effort to increase the availability of Welsh digital technology, this paper introduces the first human vs metrics Welsh summarisation evaluation results and dataset, which we provide freely for research purposes to help advance the work on Welsh summarisation.
IgboBERT Models: Building and Training Transformer Models for the Igbo Language
Our results show that, although the IgboNER task benefited hugely from fine-tuning large transformer model, fine-tuning a transformer model built from scratch with comparatively little Igbo text data seems to yield quite decent results for the IgboNER task.
AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users.
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
African languages are spoken by over a billion people, but are underrepresented in NLP research and development.
Introducing the Welsh Text Summarisation Dataset and Baseline Systems
Welsh is an official language in Wales and is spoken by an estimated 884, 300 people (29. 2% of the population of Wales).
MasakhaNER: Named Entity Recognition for African Languages
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages, bringing together a variety of stakeholders.
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved.
Infrastructure for Semantic Annotation in the Genomics Domain
The corpus database is distributed to permit fast indexing, and provides a simple web front-end with corpus linguistics methods for sub-corpus comparison and retrieval.
Igbo-English Machine Translation: An Evaluation Benchmark
Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging.
Leveraging Pre-Trained Embeddings for Welsh Taggers
While the application of word embedding models to downstream Natural Language Processing (NLP) tasks has been shown to be successful, the benefits for low-resource languages is somewhat limited due to lack of adequate data for training the models.
Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks
Most minority languages face the challenge of lack of resources - data and technologies - for NLP research.
Igbo Diacritic Restoration using Embedding Models
In this work, we applied embedding models to the diacritic restoration task and compared their performances to those of n-gram models.
Lexical Disambiguation of Igbo using Diacritic Restoration
However, as a classification task, diacritic restoration is well suited for and will be more generalisable with machine learning.
