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Charles B. Chang | Professor of Linguistics, City University of Hong Kong — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Language Learning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
elinguistics.net ↗	64 match 1 shared topics	Comparative linguistics - a quantitative method	en	language-learning	robotsllmsaihumans	emailphone	none
ljapanesls.com ↗	64 match 1 shared topics	Home - Linguistic Japanese Language School	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vresdouleies.com ↗	64 match 1 shared topics	Lingua — Universal Translation	en	language-learning	robotsllmsaihumans	emailphone	partial · 8
international-lan.com ↗	64 match 1 shared topics	Language Courses in Hong Kong \| Mandarin, Cantonese, English	en	language-learning WordPress	robots llmsaihumans	emailphone	none
cbodnaruk.com ↗	63 match 1 shared topics	Carl Bodnaruk - Linguist	en	language-learning	robotsllmsaihumans	emailphone	none
interactivemandarin.com ↗	63 match 1 shared topics	Mandarin Tutor Hong Kong \| IGCSE, IB & Business \| Interactive Mandarin	Hong Kong~ en	language-learning WordPress	robotsllmsaihumans	emailphone	none
asturianstudies.com ↗	62 match 1 shared topics	Asturian Studies · SAnTINA – Society for the Analysis of cultural Topics and linguistic Identities N'Asturies	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
livegermanlessons.com ↗	62 match 1 shared topics	Live German Lessons – Professional German Classes	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
skill-flux.com ↗	62 match 1 shared topics	Skill Flux - Professional Email Domain	en	language-learning	robotsllmsaihumans	emailphone	partial · 8
livingroomlinguists.com ↗	62 match 1 shared topics	Living Room Linguists – Live language classes from your sofa	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
elevateenglishcoaching.com ↗	62 match 1 shared topics	Elevate English — Coaching for Fluent Professionals	en	language-learning	robotsllmsaihumans	emailphone	none
espforsports.com ↗	62 match 1 shared topics	ESP for Sports – English for Sports Professionals	en	language-learning	robotsllmsaihumans	emailphone	none
esl-austin.org ↗	62 match 1 shared topics	English as a Second Language (ESL) \| Live Oak Unitarian Universalist Church	en	language-learning	robotsllmsaihumans	emailphone	none
2jlbiz.com ↗	62 match 1 shared topics	2JL - 2JL: Dive into a Universe of Engaging and Interactive English Games	en	language-learning	robotsllmsaihumans	emailphone	none
ergysbezhani.com ↗	62 match 1 shared topics	PhD. Ergys Bezhani – Professional Interpreter and Translator \| Certified Translator and Interpreter from Ministry of Justice Albania	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
eslwithjames.com ↗	62 match 1 shared topics	Master English Fast at ESL with James for Global Professionals	en	language-learning	robotsllmsaihumans	emailphone	none
invoz.io ↗	62 match 1 shared topics	Invoz — Pronunciation Intelligence for Non-Native Professionals	en	language-learning	robotsllmsaihumans	emailphone	none
voiceslinguahub.com ↗	62 match 1 shared topics	VoicesLinguaHub – Deutsch Konversationskurse	en	language-learning	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.