Process Text and Compute Linguistic Alignment in Conversation Transcripts R package ConversationAlign version 0.4.1 Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus. Software Depends: R (>= 3.5) Imports: DescTools, dplyr (>= 0.4.3), httr, magrittr, purrr, rlang, stringi, stringr, textstem, tibble, tidyr, tidyselect, stats, utils, zoo Suggests: devtools, knitr, rmarkdown, testthat (>= 3.0.0) Jamie Reilly <jamie_reilly@temple.edu> Comprehensive R Archive Network (CRAN) Jamie Reilly [aut, cre] (ORCID: <https://orcid.org/0000-0002-0891-438X>), Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb] LGPL (>= 3) 2026-04-29 application/tgz https://CRAN.R-project.org/package=ConversationAlign doi:10.32614/CRAN.package.ConversationAlign