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Open American National Corpus | Open Data for Language Research and Education — 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
spurges.com ↗	68 match 1 shared topics	SPURGES Language and Education apps	en	language-learning	robotsllmsaihumans	emailphone	none
ela777ela.com ↗	68 match 1 shared topics	ela777 - Discover Engaging and Educational Games for All Ages and Language Levels	en	language-learning	robotsllmsaihumans	emailphone	none
elanguageresearch.org ↗	67 match 1 shared topics	Language Research (어학연구)	en	language-learning	robotsllmsaihumans	emailphone	none
7jiliaa.com ↗	67 match 1 shared topics	jiliaa \| A Gateway to Exciting and Educational Online English Language Games for Everyone	en	language-learning	robotsllmsaihumans	emailphone	none
brojlreview.com ↗	67 match 1 shared topics	BROJL - Your Gateway to Engaging and Educational English Language Games Online	en	language-learning	robotsllmsaihumans	emailphone	none
annemerritt.com ↗	67 match 1 shared topics	Anne Merritt \| Travel, Language, and Education Writer	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
hello-indonesia.com ↗	67 match 1 shared topics	Hello Indonesia: An Educational Celebration of Culture, Language & Travel	en	language-learning	robotsllmsaihumans	emailphone	none
bakle.org ↗	66 match 1 shared topics	BAKLE \| British Association of Korean Language Education	en	language-learning	robotsllmsaihumans	emailphone	none
eric-richards.com ↗	66 match 1 shared topics	Languages Educator-Eric Richards Instructional Consulting	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
1plusgameregister.com ↗	66 match 1 shared topics	1plusgame \| Discover English Fun: Educational Games to Boost Your Language Skills	en	language-learning	robotsllmsaihumans	emailphone	none
omaglobalacademy.com ↗	66 match 1 shared topics	OMA Global Academy \| Overseas Education & Language Training	India~ en	language-learning	robots llmsaihumans	emailphone	none
facnh.com ↗	66 match 1 shared topics	Franco-American Centre (FACNH) \| french language and culture	en	language-learning Wix Wix Stores	robots llmsaihumans	emailphone	none
hindiusa.org ↗	66 match 1 shared topics	HindiUSA - Promoting Hindi Language in America	en	language-learning	robotsllmsaihumans	emailphone	none
buanacainte.com ↗	65 match 1 shared topics	Bua na Cainte – Bua na Cainte is a new and fully interactive Irish Language Programme The Educational Company of Ireland	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ssvipmega.com ↗	65 match 1 shared topics	ssvip - Discover Engaging and Educational English Games for All Ages and Skill Levels	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
annabelew.com ↗	65 match 1 shared topics	HOME – Language Revitalization Resource Person	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
britishacademylc.com ↗	65 match 1 shared topics	The British Academy of Language and Communication	en	language-learning	robotsllmsaihumans	email phone	none
kcpinternational.com ↗	65 match 1 shared topics	Learn Japanese in Tokyo \| KCP International Language School	en	language-learning WordPress	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.