Expressivity and Corpus Linguistics

Abstract This chapter explores how corpus linguistics can be used to analyze elements of expressivity in spoken discourse. Methods for transcribing and analyzing corpora for the study of expressive language are evaluated in terms of their strengths and limitations. The chapter discusses methods related to consistency and accuracy in transcription, narrow and broad transcription conventions, corpus annotation processes (including the use of AI), form-to-function and function-to-form analyses, generalizability of results, and selection of appropriate expressive features for corpus research. A case study examining the frequency and function of apologies uttered by American English speakers across various ages, genders, and regions is presented. This case study highlights the above methodological choices and illustrates how each choice may impact the findings of a corpus linguistic study of expressive language.