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CENTRE FOR CATALAN STUDIES (Queen Mary University of London) – at Queen Mary University of London — 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
cautg.org ↗	66 match 1 shared topics	German Studies Canada – Canadian Association of University Teachers of German	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
buddlingo.com ↗	65 match 1 shared topics	Buddlingo - Language Exchange for University Students	en	language-learning Spree Commerce	robotsllmsaihumans	emailphone	none
cbchang.com ↗	65 match 1 shared topics	Charles B. Chang \| Professor of Linguistics, City University of Hong Kong	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
signlanguagestudies.com ↗	65 match 1 shared topics	Home - Sign Language Studies	en	language-learning WordPress	robots llmsaihumans	emailphone	none
celk.org ↗	64 match 1 shared topics	CELK – Centre for Endangered Languages of Kerala	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
singatuition.com ↗	64 match 1 shared topics	Singa Tuition - Local Tamil Language Centre for Kids \| Singa Tuition	en	language-learning	robotsllmsaihumans	emailphone	none
k-ind.org ↗	64 match 1 shared topics	K-IND	en	language-learning	robotsllmsaihumans	emailphone	none
keith-langston.com ↗	64 match 1 shared topics	Keith Langston – Professor of Linguistics and Slavic Studies	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
flitacampus.com ↗	64 match 1 shared topics	Home - FLITA - INTERNATIONAL UNIVERSITY	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
ejks.org.uk ↗	64 match 1 shared topics	The British Association of Korean Studies (BAKS)	United Kingdom en	language-learning WordPress	robotsllmsaihumans	emailphone	none
centerforlanguageresources.com ↗	64 match 1 shared topics	ICLR Center for Language Resources – Bridging the gap between language and cultural diversity	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
allwetalk.com ↗	63 match 1 shared topics	Open Research and Development Platform for Universities and Business.	en	language-learning	robotsllmsaihumans	emailphone	none
learngermaninmadurai.com ↗	63 match 1 shared topics	V & V German Language School - Learn German in Madurai - German language coaching center in Madurai for kids and adults.Consultancy and Translation Services for higher studies in Germany.	en	language-learning Weebly	robotsllmsaihumans	emailphone	none
cucep.org ↗	63 match 1 shared topics	Canadian University Cultural Exchange Program	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
cuportss.org ↗	63 match 1 shared topics	Cambridge University Portuguese Speakers Society	en	language-learning	robotsllmsaihumans	emailphone	none
kcregina.org ↗	63 match 1 shared topics	Karen Community of Regina – KCR	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
daz-os.com ↗	63 match 1 shared topics	Mehrsprachigkeit – Forschungsstelle der Universität Osnabrück	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
learning-un.com ↗	63 match 1 shared topics	Learning Universe \| Translators	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.