RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

TL;DR

RDF2PT is a novel method for generating natural Brazilian Portuguese texts from RDF data, filling a gap in multilingual data verbalization and demonstrating human-like quality in generated texts.

Contribution

This work introduces RDF2PT, the first approach to verbalize RDF data into Brazilian Portuguese, expanding multilingual natural language generation capabilities.

Findings

Generated texts are comparable to human-produced language

Participants found the texts easily understandable

RDF2PT effectively verbalizes RDF data in Brazilian Portuguese

Abstract

The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data. A number of these approaches generate natural language in languages other than English, however, no work has been proposed to generate Brazilian Portuguese texts out of RDF. We address this research gap by presenting RDF2PT, an approach that verbalizes RDF data to Brazilian Portuguese language. We evaluated RDF2PT in an open questionnaire with 44 native speakers divided into experts and non-experts. Our results suggest that RDF2PT is able to generate text which is similar to that generated by humans and can hence be easily understood.