CMU’s TalkBank project is best known for CLAN (Computerized Language ANalysis), a cross-platform workbench that turns plain-text CHAT transcripts into publishable developmental-linguistic evidence. Researchers load day-long home recordings, classroom interactions or clinical sessions, and CLAN synchronizes media, auto-codes speaker turns, tags morphosyntax, and exports time-aligned tables ready for R, Python or Praat. Bundled commands such as KWAL, FREQ and COMBO let investigators trace vowel lengthening, caregiver repetition rates, or bilingual code-switching across thousands of files in minutes, while reliability utilities compare transcribers and Cohen’s-κ calculators flag coding drift. The same engine underlies TalkBank’s larger CHILDES, AphasiaBank, FluencyBank and HomeBank corpora, so graduate labs can replicate published analyses on identical data sets, and speech-language pathologists can benchmark a client’s MLU or fluency profile against age-matched norms. CLAN also ships with a CHAT editor that enforces transcription conventions, color-codes tiers and validates XML on the fly, eliminating the manual cleanup once required before submission to journals or IRB archives. Because every function is scriptable, large longitudinal projects schedule overnight batch runs that spit out summary spreadsheets and audio snippets for poster presentations. The publisher’s software is available for free on get.nero.com; downloads are delivered through trusted Windows package sources such as winget, always fetch the latest release, and may be queued for batch installation alongside other research tools.
The acronym CLAN stands for Computerized Language ANalysis. CLAN is designed specifically to analyze data transcribed in the CHAT format. This is the format used in the various segments of the TalkBank system.
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