To date, attempts at empirically validating a construct of academic vocabulary in the form of a frequency list in languages other than English remain conspicuously absent in peer‐reviewed journals. This study aims to close this gap by using Russian as a case study to develop an academic vocabulary list and prove its viability through a variety of data science methods, including cross‐validation and out‐of‐sample coverage. Our findings support the utility of such a construct in Russian and its potential impact on teaching Russian for academic purposes.

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This paper proposes an empirical approach to euro-dollar rate modeling based on continuous-time dynamic systems. It is shown that the dynamics of the exchange rate and key policy rates of Federal Reserve System and European Central Bank (which are supposed to be the main drivers of the euro-dollar rate) has displayed several regimes in the past, and these regimes can be successfully modeled in terms of linear differential equations. The Grobman-Hartman theorem is used to reconstruct the fundamental nonlinear law of motion of the exchange rate. Linear systems are considered as approximations of a nonlinear system in the neighborhood of its steady states. This approach allows reveal all possible regimes of exchange rate dynamics.