Generating Irish Text with a Flexible Plug-and-Play Architecture
Simon Mille, Elaine Uí Dhonnchadha, Lauren Cassidy, Brian Davis, Stamatia Dasiopoulou, Anya Belz
Abstract
In this paper, we describe M-FleNS, a multilingual flexible plug-and-play architecture designed to accommodate neural and symbolic modules, and initially instantiated with rule-based modules. We focus on using M-FleNS for the specific purpose of building new resources for Irish, a language currently under-represented in the NLP landscape. We present the general M-FleNS framework and how we use it to build an Irish Natural Language Generation system for verbalising part of the DBpedia ontology and building a multilayered dataset with rich linguistic annotations. Via automatic and human assessments of the output texts we show that with very limited resources we are able to create a system that reaches high levels of fluency and semantic accuracy, while having very low energy and memory requirements.- Anthology ID:
- 2023.pandl-1.4
- Volume:
- Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Mihai Surdeanu, Ellen Riloff, Laura Chiticariu, Dayne Frietag, Gus Hahn-Powell, Clayton T. Morrison, Enrique Noriega-Atala, Rebecca Sharp, Marco Valenzuela-Escarcega
- Venues:
- PANDL | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 25–42
- Language:
- URL:
- https://aclanthology.org/2023.pandl-1.4
- DOI:
- 10.18653/v1/2023.pandl-1.4
- Cite (ACL):
- Simon Mille, Elaine Uí Dhonnchadha, Lauren Cassidy, Brian Davis, Stamatia Dasiopoulou, and Anya Belz. 2023. Generating Irish Text with a Flexible Plug-and-Play Architecture. In Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning, pages 25–42, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- Generating Irish Text with a Flexible Plug-and-Play Architecture (Mille et al., PANDL-WS 2023)
- PDF:
- https://preview.aclanthology.org/ijclclp-past-ingestion/2023.pandl-1.4.pdf