# Linguistics Analysis

> Analyze language structures, typological features, and semantic change across languages

- Skill: `beita6969/linguistics-analysis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add beita6969/linguistics-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/beita6969/linguistics-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: beita6969 (https://skillmd.com/u/beita6969)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/beita6969/linguistics-analysis

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# Linguistics Analysis

## Purpose
Analyze language structures, cross-linguistic patterns, and diachronic semantic change.

## Key Datasets
- **WALS** (wals.info): 192 linguistic features across 2,679 languages — phonology, morphology, syntax, word order
- **HistWords** (nlp.stanford.edu/projects/histwords): Diachronic word embeddings for English, French, German, Chinese
- **Universal Dependencies**: 200+ treebanks, 100+ languages, dependency annotation

## Analysis Types
- **Typological analysis**: Feature distributions, language universals, areal patterns
- **Diachronic analysis**: Semantic drift, grammaticalization, lexical change
- **Syntactic analysis**: Constituency/dependency parsing, word order patterns
- **Phonological analysis**: Sound inventories, phonotactics, prosody
- **Corpus analysis**: Frequency distributions, collocations, concordances

## Protocol
1. **Language identification** — Identify language family, branch, typological profile
2. **Feature analysis** — Map relevant WALS features for target language(s)
3. **Comparative analysis** — Cross-linguistic comparison using typological databases
4. **Statistical testing** — Test for significant patterns (chi-square, Fisher's exact)
5. **Visualization** — Geographic and phylogenetic visualizations of features

## Rules
- Use ISO 639-3 language codes for unambiguous identification
- Cite primary grammars and fieldwork sources
- Distinguish descriptive from prescriptive claims
- Handle endangered language data with cultural sensitivity