Development of discourse parsers to annotate the relational discourse structure of a text is crucial for many downstream tasks.
However, most of the existing work focuses on English, assuming a quite large dataset.
Discourse data have been annotated for Basque, but training a system on these data is challenging since the corpus is very small.
In this paper, we create the first parser based on RST for Basque, and we investigate the use of data in another language to improve the performance of a Basque discourse parser.