This study presents a thematic research in the Marine Corps area involving Terminology, Corpus-Based Translation Studies, Computational Terminology and Lexical Semantics. The objective of this research was to create a terminological material through a hybrid methodology of term extraction developed from tests with Automatic Term Extraction (ATE) tools. Thus, we sought to solve both translation problems related to the subarea of study and to the detection and validation of term candidates in a corpus. First, a pilot study was conducted aiming to analyze two tools – TermoStat Web 3.0 and AntConc 3.5.7. After the conduction of the tests through the analysis of a bilingual parallel corpus, the best conditions identified were selected to obtain an effective methodology of automatic extraction of terms allied to human analysis. Then, this methodology was used for the analysis of a comparable bilingual corpus. The term candidates automatically extracted were then validated by the Lexical Semantics criteria proposed by L Homme (2020) and their translation equivalents were detected. This study resulted in the creation of the bilingual lexicon Espírito de Corpus.