# hermitdave/FrequencyWords

Repository for Frequency Word List Generator and processed files

Repository: https://github.com/hermitdave/FrequencyWords
Canonical: https://ross.abutalabs.com/products/frequencywords
Language: C#
License: MIT
License Family: permissive
Last push: 2022-02-07T10:32:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3669, "days_push": 1668, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1535, forks 601 (observed 2026-08-28T04:04:59.769261+00:00)

## What it is
A repository of preprocessed word frequency lists for many languages, generated from OpenSubtitles corpora, plus the C# generator code. Each list maps words to occurrence counts (e.g. en_50k.txt).

## Use cases
- get a frequency word list for a language
- build an autocomplete or predictive keyboard
- rank vocabulary words by commonness for language learning
- filter or prioritize tokens in NLP preprocessing
- generate word clouds weighted by real usage

## When to choose
- you need ready-made frequency data for many languages
- you want simple word-count lists without heavy NLP tooling
- you need corpus-derived word rankings for input methods or education apps

## When to avoid
- you need part-of-speech tags, lemmas, or rich linguistic annotations
- you need up-to-date corpora or domain-specific frequency data
- you need sentence-level or contextual language data

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, data-generation
- domain: data-science
- platform: cross-platform
- tags: word-frequency-lists, opensubtitles, corpus, text-processing, csharp, natural-language-processing, localization

## Member repositories
- hermitdave/FrequencyWords (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.769261+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:31:09.202158+00:00, confidence not recorded.
  - readme: https://github.com/hermitdave/FrequencyWords (fetched 2026-08-28T04:04:59.769261+00:00, sha a92fcc50e27f)
- Data as of 2026-08-30T08:39:29.467469+00:00.