  In this paper we describe the Portuguese-language podcast dataset we have
released for academic research purposes. We give an overview of how the data
was sampled, descriptive statistics over the collection, as well as information
about the distribution over Brazilian and Portuguese dialects. We give results
from experiments on multi-lingual summarization, showing that summarizing
podcast transcripts can be performed well by a system supporting both English
and Portuguese. We also show experiments on Portuguese podcast genre
classification using text metadata. Combining this collection with previously
released English-language collection opens up the potential for multi-modal,
multi-lingual and multi-dialect podcast information access research.
