Linguistics Analysis
- 17 installs
- 869 repo stars
- Updated June 8, 2026
- beita6969/scienceclaw
Linguistics-analysis is a Claude skill that analyzes language structures, typological features, and diachronic semantic change across languages using datasets like WALS, HistWords, and Universal Dependencies.
About
Linguistics-analysis analyzes language structures, cross-linguistic typological features, and diachronic semantic change. It draws on datasets like WALS, HistWords, and Universal Dependencies and covers typological, diachronic, syntactic, phonological, and corpus analysis. A researcher uses it to map language features, run comparisons, and test for significant patterns.
- Analyzes typological, diachronic, syntactic, and phonological language patterns
- Uses WALS, HistWords, and Universal Dependencies datasets
- Applies statistical tests (chi-square, Fisher's exact) to language features
Linguistics Analysis by the numbers
- 17 all-time installs (skills.sh)
- Ranked #1,286 of 2,065 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
linguistics-analysis capabilities & compatibility
- Capabilities
- literature search · literature review
- Use cases
- data analysis · research
- Pricing
- Free
What linguistics-analysis says it does
Analyze language structures, typological features, and semantic change across languages
npx skills add https://github.com/beita6969/scienceclaw --skill linguistics-analysisAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 17 |
|---|---|
| repo stars | ★ 869 |
| Last updated | June 8, 2026 |
| Repository | beita6969/scienceclaw ↗ |
What it does
Analyze typological, diachronic, or syntactic language patterns across languages using linguistic datasets.
Who is it for?
Typological, diachronic, syntactic, and corpus analysis of language across databases.
When should I use this skill?
You need to analyze language features or semantic change across languages.
What you get
A cross-linguistic feature analysis with statistical tests and visualizations of typological or diachronic patterns.
- Cross-linguistic feature analyses
- Statistical tests and visualizations
By the numbers
- WALS: 192 features across 2,679 languages
- Universal Dependencies: 200+ treebanks, 100+ languages
Files
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
Related skills
Microsoft FoundryDeploy, evaluate, and continuously improve Microsoft Foundry agents from a single agent interface.490k1.3k
Ai Research ReproductionOrchestrate trustworthy, auditable reproduction of deep learning repositories directly from their READMEs.176k511Run TrainSafely execute selected deep learning training commands with standardized evidence capture.176k511Explore RunSafely run isolated exploratory experiments with clear recording and conservative selection before committing changes.176k511Paper Context ResolverFetch precise reproduction-critical details like dataset splits, preprocessing steps, or evaluation protocols from the original academic paper when the repo README leav141k511Repo Intake And PlanScan unfamiliar AI research repositories and receive a minimal, trustworthy reproduction target before investing significant time.140k511FAQ
Which datasets does it use?
It uses WALS (192 features across 2,679 languages), HistWords diachronic embeddings, and Universal Dependencies treebanks.
What analysis types does it support?
Typological, diachronic, syntactic, phonological, and corpus analysis.