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Sites similar to multilinguallearnersuccess.com

Multilinguallearnersuccess alternatives & similar sites

Multilingual Learner Success — 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 Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
idiomator.com ↗	68 match 2 shared topics	Idiomator — Multilingual Idiom Detector	en	language-learning	robotsllmsaihumans	emailphone	none
cuny-nysieb.org ↗	63 match 2 shared topics	CUNY-NYSIEB – CUNY-NYS Intiative On Emergent Bilinguals	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
learnaworddaily.com ↗	63 match 2 shared topics	Home \| Learn a Word Daily	en	education	robotsllmsaihumans	emailphone	partial · 1
accessibledictionary.gov.bd ↗	62 match 2 shared topics	Accessible Dictionary	en	education	robotsllmsaihumans	emailphone	none
idiomsbook.com ↗	62 match 2 shared topics	Idioms Book - Learn Idioms. Speak Smarter.	en	language-learning WordPress	robotsllmsaihumans	emailphone	partial · 8
atesolnsw.org.au ↗	61 match 2 shared topics	ATESOL NSW – Welcome to our website. ATESOL NSW Inc. is a non-profit professional association of people working to ensure equity in education to all English language learners in the field of TESOL	Australia en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
prolinguaassociates.com ↗	61 match 2 shared topics	ESL and Foreign Language Teaching - Books and Materials from Pro Lingua Associates	en	language-learning	robotsllmsaihumans	emailphone	none
kabura.info ↗	61 match 2 shared topics	Rafal Rzepka - Home	en	language-learning	robotsllmsaihumans	emailphone	none
dsl.ac.uk ↗	61 match 2 shared topics	Dictionaries of the Scots Language	United Kingdom en	language-learning WordPress	robotsllmsaihumans	emailphone	none
mywritingcourse.com ↗	61 match 2 shared topics	English grammar, linguistics, composition, rhetoric, ESL, and writing resources :: Papyr.com	en	language-learning	robotsllmsaihumans	emailphone	full · 20
siqeq.com ↗	61 match 2 shared topics	Homepage - English Phrases for Work Corner	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
ctcolt.org ↗	61 match 2 shared topics	CTCOLT - Connecticut Council of Language Teachers	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
amateurlinguists.com ↗	61 match 2 shared topics	ask the amateur linguists – the community where we engage in dialogue to demystify, digest, and decolonize linguistics	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
learnatdelphi.com ↗	61 match 2 shared topics	At Delphi – Ancient Greek Thought and Language	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
alscjournal.com ↗	61 match 2 shared topics	The International Journal of Applied Language Studies and Culture	en	language-learning	robotsllmsaihumans	emailphone	none
definecorrect.com ↗	61 match 2 shared topics	Define Correct - Word Meanings, Grammar & Correct Spelling	en	language-learning WordPress	robots llmsaihumans	emailphone	none
boompositive.com ↗	60 match 2 shared topics	Positive Words Research & Dictionary: Empowering Language – Boom Positive	en	education Shopify	robots llmsaihumans	emailphone	none
iefamilyreunion.com ↗	60 match 2 shared topics	ABC АБВ АВГ INDO-EUROPEAN TODAY ԱԲԳ ابپ अआ इ – Comparing the Grammars of the Modern IE Languages	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.