Multimodal exploration of the thank God expressive construction and its implications for translation

Multimodal research in communication and translation studies is increasingly recognized, yet it remains incompletely explored. Leveraging computational linguistics with both Praat for acoustic analysis and the OpenPose and Rapid Annotator tools for visual analysis, this study delves into the intricate dynamics of the expressive construction thank God, providing a comprehensive examination of both visual and acoustic dimensions. Our objective is to uncover nuanced patterns of multimodal communication embedded within this expression and their implications for Translation and Interpreting. Through an analysis of linguistic features and co-speech gestures present in thank God, we aim to deepen our comprehension of how meaning crisscrosses modalities. Our findings underscore the necessity of a multimodal approach in language studies, emphasizing the requisite to preserve emotional and contextual nuances. The analysis unveils the phonological relevance of the duration of the construction’s second vowel, a key factor for translation. Additionally, data reveals a correlation between the emotion of relief and gestures executed with both hands closer to the chest. Overall, these findings contribute to advancing both multimodal communication research and translation studies, shedding light on the role of multimodal analysis in understanding language and translation dynamics, particularly in the context of constructions like thank God.