Semantic Paraphasia

Classify spoken fragments as SEM or NO-SEM for language disorder assessment.

Updated Nov 18, 2025
One-click install
npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill semantic-paraphasia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Semantic Paraphasia
Source: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/tree/main/skills/SEM
Command: npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill semantic-paraphasia

SYSTEM DOCUMENTATION & REQUIREMENTS

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."

Frequently Asked Questions about Semantic Paraphasia

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I classify semantic paraphasia in speech transcripts?

You can use this Skill for clinical language disorder assessment by providing short spoken utterances or interview transcripts. It evaluates semantic relatedness and contextual inappropriateness to determine if the fragment exhibits semantic paraphasia.

What is semantic paraphasia classification in neuropsychology?

Semantic paraphasia classification in neuropsychology is the process of identifying real-word substitutions that are contextually inappropriate within a spoken fragment. This Skill helps clinicians and researchers distinguish between SEM and NO-SEM cases to assess language thought disorders.

Can I use this tool for speech-language pathology case analysis?

Yes, this Skill is designed for speech-language pathology case analysis and research workflows. It evaluates transcribed patient utterances to identify lexical-level substitutions, supporting structured clinical assessment of language disorders.

How does the SEM classification process work for short utterances?

The SEM classification process works by matching short spoken fragments against specific SEM criteria. It analyzes semantic relatedness and contextual inappropriateness to produce a structured result describing whether a lexical-level substitution has occurred.

Are there limitations to analyzing semantic relatedness in spoken fragments?

A limitation of analyzing semantic relatedness in spoken fragments is that the Skill is designed for short utterances and transcripts. It focuses specifically on lexical-level substitutions and may not capture broader contextual discourse in clinical language disorder assessment.