Using AphasiaBank for Discourse Assessment.
Davida Fromm, Margaret Forbes, Audrey Holland and 1 others
PMID 31869845WHAT IT FOUND
AphasiaBank provides automated tools for analyzing discourse in people with aphasia.
Main concept checklists and core lexicons allow objective scoring of essential content and typical word usage. CLAN commands automate complex metrics like communicative efficiency and grammatical analysis, reducing transcription time.
Key findings
01Main concept checklists derived from control participants allow clinicians to objectively score essential content in discourse without labor-intensive transcription.
02Core lexicon analysis compares word usage against normative samples and has shown significant differences between people with aphasia and controls.
03Automated CIU computation measures communicative informativeness and efficiency, though some exclusion coding still requires manual entry.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The paper describes tools and resources rather than testing their diagnostic accuracy or clinical utility in a new experiment. Some automated analyses (CIU, C-QPA) still require manual coding or extensive transcription, which may limit efficiency gains for some users.
Declared interests
The paper is supported by NIH and non-U.S. government grants. No conflicts of interest are declared in the provided text.
The easy way to misread this
Do not assume these tools provide a complete diagnostic profile without clinical judgment. The automated outputs rely on accurate transcription and specific coding rules, and the paper notes that some analyses require manual exclusion coding or extensive individualized evaluation.