Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

1.2K
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Increasing Educator Resources for Mild Cognitive Impairment and Dementia Using a Knowledge-to-Action Framework: The Development of DementiaBank Grand Rounds.

American journal of speech-language pathology·2026
Same author

Developmental Sentence Scoring for Preschool Language Sample Analysis: A Psychometric Update.

American journal of speech-language pathology·2026
Same author

Introducing the NEURAL Research Lab Data Set for Studies of Discourse and Gesture in Aphasia and Cognitively Healthy Aging Adults.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

Priorities for New Data Collection.

Developmental science·2025
Same author

Mental simulation in bilingual and second language processing: New directions in the Competition Model.

Brain and language·2025
Same journal

Foreword.

Seminars in speech and language·2026
Same journal

Linguistic Performance and Quality of Life in Patients with Low-Grade Gliomas.

Seminars in speech and language·2026
Same journal

Quantifying Question Asking in Young Autistic Children: Exploring the Role of Context.

Seminars in speech and language·2026
Same journal

Foreword.

Seminars in speech and language·2026
Same journal

Building Therapeutic Alliances in Aphasia Rehabilitation: Developing Relational Competencies Through Narrative Practice.

Seminars in speech and language·2026
Same journal

Foreword.

Seminars in speech and language·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

AphasiaBank as BigData.

Brian MacWhinney1, Davida Fromm1

  • 1Carnegie Mellon University, Pittsburgh, Pennsylvania.

Seminars in Speech and Language
|February 17, 2016
PubMed
Summary
This summary is machine-generated.

AphasiaBank collected extensive speech data from individuals with aphasia and controls. Analysis using Computerized Language Analysis (CLAN) programs revealed insights into discourse, grammar, and treatment effects.

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

5.9K

Related Experiment Videos

Last Updated: Mar 25, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

5.9K

Area of Science:

  • Linguistics
  • Neurology
  • Speech-Language Pathology

Background:

  • AphasiaBank has amassed a substantial corpus of discourse data from individuals with aphasia and healthy controls.
  • Standardized protocols ensure data consistency for reliable linguistic analysis.

Purpose of the Study:

  • To review findings from 45 studies utilizing AphasiaBank data.
  • To examine aphasic productions across eight key areas: discourse, grammar, lexicon, gesture, fluency, syndrome classification, social factors, and treatment effects.
  • To highlight the role of Computerized Language Analysis (CLAN) programs in facilitating these analyses.

Main Methods:

  • Collection of narrative, procedural, personal, and descriptive discourse from 290 individuals with aphasia and 190 controls.
  • Transcription of data using the Codes for the Human Analysis of Transcripts (CHAT) format.
  • Analysis of transcribed data through Computerized Language Analysis (CLAN) software.

Main Results:

  • Review of 45 studies investigating aphasic productions across eight linguistic and social domains.
  • Demonstration of how CLAN programs aided in analyzing discourse, grammar, lexicon, gesture, fluency, syndrome classification, social factors, and treatment effects.
  • Identification of patterns and challenges in aphasic communication.

Conclusions:

  • AphasiaBank data, analyzed with CLAN, provides valuable insights into the linguistic and social aspects of aphasia.
  • Future data expansion through on-site recordings and teletherapy can further enhance research capabilities.
  • Continued research is crucial for understanding and treating aphasia effectively.