  A recent increase in data availability has allowed the possibility to perform
different statistical linguistic studies. Here we use the Google Books Ngram
dataset to analyze word flow among English, French, German, Italian, and
Spanish. We study what we define as ``migrant words'', a type of loanwords that
do not change their spelling. We quantify migrant words from one language to
another for different decades, and notice that most migrant words can be
aggregated in semantic fields and associated to historic events. We also study
the statistical properties of accumulated migrant words and their rank
dynamics. We propose a measure of use of migrant words that could be used as a
proxy of cultural influence. Our methodology is not exempt of caveats, but our
results are encouraging to promote further studies in this direction.
