Comparing the template-based approach to GF: the case of Afrikaans

Sanby, Lauren and Todd, Ion and Keet, C. Maria (2016) Comparing the template-based approach to GF: the case of Afrikaans, Proceedings of 2nd International Workshop on Natural Language Generation and the Semantic Web (WebNLG'16), September 6, 2016, Edinburgh, Scotland, 50-53, Association for Computational Linguistics.

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Ontologies are usually represented in OWL that is not easy to grasp by domain experts. A solution to bridge this gap is to use a controlled natural language or natural language generation (NLG), which allows the knowledge in the ontology to be rendered automatically into a natural language. Several approaches exist to realise this. We used both templates and the Grammatical Framework (GF) and examined the feasibility of each by developing NLG modules for a language that had none: Afrikaans. The template system requires manual translation of the ontology's vocabulary into Afrikaans, if not already done so, while the GF system can translate the terms automatically. Yet, the template system is found to produce more grammatically correct sentences and verbalises the ontology slightly faster than the GF system. The template-based approach seems easier to extend for future development.

Item Type: Conference paper
Uncontrolled Keywords: natural language generation, OWL, grammatical framework, Afrikaans
Subjects: Computing methodologies > Artificial intelligence
Alternate Locations:,
Date Deposited: 14 Nov 2016
Last Modified: 10 Oct 2019 15:32

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