This paper proposes statistical analysis methods for improvement of terminology entry compounding. Terminology entry compounding is a mechanism that identifies matching entries across multiple multilingual terminology collections. Bilingual or trilingual term entries are unified in compounded multilingual entry. We suggest that corpus analysis can improve entry compounding results by analysing contextual terms of given term in the corpus data. Proposed algorithm is described. It is implemented in an experimental setup. Results of experiment on compounding of Latvian and Lithuanian terminology resources are provided. These results encourage further research for different language pairs and in different domains.