  The explosion of data in recent years is driving individuals to leverage
technology to generate insights. Traditional tools bring heavy learning
overheads and the requirement for understanding complex charting techniques.
Such barriers can hinder those who may benefit from harnessing data for
informed decision making. The emerging field of generating data visualisations
from natural language text (NL2VIS) addresses this issue. This study showcases
Chat2VIS, a state-of-the-art NL2VIS solution. It capitalises on the latest in
AI technology with the upsurge in pre-trained large language models (LLMs) such
as GPT-3, Codex, and ChatGPT. Furthermore, the rise in natural language
interfaces (NLI) and chatbots is taking centre stage. This work illustrates how
Chat2VIS leverages similar techniques to fine-tune data visualisation
components beyond that demonstrated in previous approaches. In addition, this
paper presents the flexibility of Chat2VIS to comprehend multilingual natural
language requests. No other NL2VIS system has demonstrated this unique talent.
In concluding, this research provides quantitative benchmarking evaluations to
contribute to the paucity of NL2VIS standards.
