# Interview-Science/interview-english

English for Tech Interview 面试中的英语

Repository: https://github.com/Interview-Science/interview-english
Canonical: https://ross.abutalabs.com/products/interview-english
License Family: other
Topics: english-learning, interview
Last push: 2024-08-01T02:49:49+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": 1764, "days_push": 762, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1016, forks 96 (observed 2026-08-28T04:03:14.448065+00:00)

## What it is
A curated reference guide of English vocabulary, punctuation names, and example sentences used in technical job interviews, aimed at non-native English speakers. It is maintained as a community-contributed markdown document accompanying the Interview Science job-hunting guide.

## Use cases
- learn how to pronounce punctuation marks during a coding interview
- find English words for common algorithm concepts like monotonic stack or palindrome
- prepare for a tech interview conducted in English
- look up how to describe code symbols out loud
- review technical vocabulary with example sentences

## When to choose
- you are a non-native English speaker preparing for interviews at international tech companies
- you need quick reference material for speaking about code and algorithms in English

## When to avoid
- you need structured courses, exercises, or audio practice rather than reference lists
- you need general English learning beyond technical interview vocabulary

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: education, tutorials, developer-tools
- platform: cross-platform
- tags: english-learning, tech-interview, vocabulary, pronunciation, cheatsheet

## Member repositories
- Interview-Science/interview-english (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.448065+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 2026-08-30T07:11:16.661227+00:00, confidence not recorded.
  - readme: https://github.com/Interview-Science/interview-english (fetched 2026-08-28T04:03:14.448065+00:00, sha 191dc2a7e625)
- Data as of 2026-08-30T08:39:29.467469+00:00.