  The segmentation of emails into functional zones (also dubbed email zoning)
is a relevant preprocessing step for most NLP tasks that deal with emails.
However, despite the multilingual character of emails and their applications,
previous literature regarding email zoning corpora and systems was developed
essentially for English.
  In this paper, we analyse the existing email zoning corpora and propose a new
multilingual benchmark composed of 625 emails in Portuguese, Spanish and
French. Moreover, we introduce OKAPI, the first multilingual email segmentation
model based on a language agnostic sentence encoder. Besides generalizing well
for unseen languages, our model is competitive with current English benchmarks,
and reached new state-of-the-art performances for domain adaptation tasks in
English.
