  This paper describes our participation in the 2023 WSDM CUP - MIRACL
challenge. Via a combination of i) document translation; ii) multilingual
SPLADE and Contriever; and iii) multilingual RankT5 and many other models, we
were able to get first place in both the known and surprise languages tracks.
Our strategy mostly revolved around getting the most diverse runs for the first
stage and then throwing all possible reranking techniques. While this was not a
first for many techniques, we had some things that we believe were never tried
before, for example, we train the first SPLADE model that is effectively
capable of working in more than 10 languages. However, a more careful study of
the results is needed in order to verify if we were able to get first place
just due to brute force or if the hybrids we developed really brought
improvements over the other team's solutions.
