| Last Updated:
Creating DOI. Please wait...
Linguistic alignment (LA) is the tendency during a conversation to re-use each other's linguistic expressions, including lexical, conceptual, or syntactic structures. LA is often argued to be a crucial driver in reciprocal understanding and interpersonal rapport, though its precise dynamics and effects are still controversial. One barrier to more systematic investigation of these effects lies in the diversity in the methods employed to analyze LA. To overcome this issue, we have developed ALIGN (Analyzing Linguistic Interactions with Generalizable techNiques), an open-source Python package to measure LA in conversation (https://pypi.python.org/pypi/align); in addition to the package, we have also created Jupyter Notebooks to provide users with an easily accessible step-by-step walkthrough of the tool and its uses. Here, we first describe the challenges in the study of LA and outline how ALIGN can address them. We then demonstrate how our analytical protocol can be applied to theory-driven questions using a complex corpus of dialogue (the Devil's Advocate corpus, Duran & Fusaroli, 2017). We close by identifying further challenges and point to future developments of the field.
CC-By Attribution 4.0 International