This approach is hybrid because it considers the global task of identification and alignment of MWEs as an optimization problem and it uses external linguistic resources: a seed single word bilingual dictionary and morpho-syntactic patterns.
to traditional approaches for MWEs alignment which consist in firstly identifying monolingual MWEs candidates and secondly applying alignment to find bilingual correspondences, our approach extracts and aligns MWEs in a one-step process.