The invention relates to the technical field of natural language processing, in particular to a multilingual attention mechanism-based event identification and classification method and apparatus, andaims to solve the problem that the monolingual feature identification effect cannot meet the demands. The method comprises the steps of mapping data only marked with monolingual event information into multilingual parallel data; performing vocabulary-level alignment on the multilingual parallel data, and obtaining a consistency representation of a same event in multiple different languages through a multilingual alignment relationship; obtaining multilingual consistency information based on a monolingual attention model; obtaining multilingual complementarity information based on a multilingual attention model; and performing cooperative reasoning based on the multilingual consistency information and the multilingual complementarity information, and outputting a final identification result through a nonlinear neural network judgment model. The event identification effect can be improved.