Jonathan Morris


2023

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Open-Source Thesaurus Development for Under-Resourced Languages: a Welsh Case Study
Nouran Khallaf | Elin Arfon | Mo El-Haj | Jonathan Morris | Dawn Knight | Paul Rayson | Tymaa Hasanain Hammouda | Mustafa Jarrar
Proceedings of the 4th Conference on Language, Data and Knowledge

2022

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Introducing the Welsh Text Summarisation Dataset and Baseline Systems
Ignatius Ezeani | Mahmoud El-Haj | Jonathan Morris | Dawn Knight
Proceedings of the Thirteenth Language Resources and Evaluation Conference

Welsh is an official language in Wales and is spoken by an estimated 884,300 people (29.2% of the population of Wales). Despite this status and estimated increase in speaker numbers since the last (2011) census, Welsh remains a minority language undergoing revitalisation and promotion by Welsh Government and relevant stakeholders. As part of the effort to increase the availability of Welsh digital technology, this paper introduces the first Welsh summarisation dataset, which we provide freely for research purposes to help advance the work on Welsh summarisation. The dataset was created by Welsh speakers through manually summarising Welsh Wikipedia articles. In addition, the paper discusses the implementation and evaluation of different summarisation systems for Welsh. The summarisation systems and results will serve as benchmarks for the development of summarisers in other minority language contexts.

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Creation of an Evaluation Corpus and Baseline Evaluation Scores for Welsh Text Summarisation
Mahmoud El-Haj | Ignatius Ezeani | Jonathan Morris | Dawn Knight
Proceedings of the 4th Celtic Language Technology Workshop within LREC2022

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. The system summaries were created using an extractive graph-based Welsh summariser. The system summaries were evaluated by both human and a range of ROUGE metric variants (e.g. ROUGE 1, 2, L and SU4). The summaries and evaluation results will serve as benchmarks for the development of summarisers and evaluation metrics in other minority language contexts.