Semantic Paraphasia
CommunityClassify speech fragments as SEM vs NO-SEM.
Education & Research#language disorders#SEM#speech analysis#NO-SEM#clinical assessment#semantic paraphasia
AuthorKikolo3000
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps clinicians and researchers determine whether a spoken fragment exhibits semantic paraphasia (SEM) or no semantic paraphasia (NO-SEM), enabling structured assessment of language thought disorders.
Core Features & Use Cases
- Lexical-level classification: matches fragments against SEM criteria to identify real-word substitutions that are contextually inappropriate.
- Research and clinical workflows: suitable for transcription reviews, case analyses, and evaluation of interview data.
- Use Case: analyze a patient utterance such as "I had rice and a bowl of oceanwaves" to determine SEM classification and preserve the reasoning pattern for review.
Quick Start
Provide the fragment to classify, e.g., "I had rice and a bowl of oceanwaves."
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Semantic Paraphasia Download link: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/archive/main.zip#semantic-paraphasia Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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