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MINDS BETWEEN LANGUAGES – A series on translation, interpreting and cognition — 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
altalang.com ↗	75 match 1 shared topics	ALTA Language Services \| Translation, Interpretation, and Testing	United States~ en	language-learning WordPress	robots llmsaihumans	email phone	none
europalingua.co.uk ↗	72 match 1 shared topics	Europalingua \| Language Solutions tutoring and translations	United Kingdom en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bridgelanguagesolutions.com ↗	71 match 1 shared topics	Bridge Language Solutions – Arabic Instruction, Interpretation, and Translation	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zoomlink-ls.com ↗	71 match 1 shared topics	ZoomLink \| Global Language Services & Translation	en	language-learning	robotsllmsaihumans	emailphone	none
aiwaac.org.au ↗	70 match 1 shared topics	Aboriginal Language Interpreting Service - AIWAAC	Australia en	language-learning WordPress	robotsllmsaihumans	email phone	none
prokuris.com ↗	70 match 1 shared topics	Languages of South Africa: History & Translation	en	language-learning	robotsllmsaihumans	emailphone	none
transdict.com ↗	69 match 1 shared topics	Online translators and online dictionaries for all languages	en	language-learning	robotsllmsaihumans	emailphone	partial · 1
translationtimes.com ↗	69 match 1 shared topics	Language Blog Translation Times	en	language-learning WordPress Reaction Commerce	robotsllmsaihumans	emailphone	none
nabanya.com ↗	69 match 1 shared topics	NABANYA: The kasahorow Translation Assistant	en	language-learning	robotsllmsaihumans	emailphone	none
alphaservicepro.com ↗	69 match 1 shared topics	Alpha Service Provider \| English Tuition, Tutoring & Translations – Pretoria	en	language-learning	robotsllmsaihumans	email phone	none
translexico.com ↗	69 match 1 shared topics	Translexico - Language Services \| Top-Quality Translations & Interpretations \| Translexico	en	language-learning	robotsllmsaihumans	emailphone	none
amgloballanguageservices.com ↗	69 match 1 shared topics	Foreign language Interpreters \| Nationwide	en	language-learning Wix	robots llmsaihumans	emailphone	none
flaminetic.com ↗	69 match 1 shared topics	Interpreting, Translation and Linguistic Services in Arabic, Spanish and Italian \| Flaminetic - Linguistic Services	en	language-learning	robotsllmsaihumans	emailphone	none
deckylens.com ↗	69 match 1 shared topics	Decky Lens — Game Translation & Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
kansascityinterpreting.com ↗	69 match 1 shared topics	Bridging the Gap Interpreting	en	language-learning WordPress	robotsllmsaihumans	email phone	none
1voicels.com ↗	68 match 1 shared topics	HOME \| 1 Voice Language Services \| Interpreting and English classes, virtual and in-person	en	language-learning Wix Wix Stores	robots llmsaihumans	emailphone	none
drfarahnazir.co.uk ↗	68 match 1 shared topics	Farah Nazir – Here to share my writing and research on language, literature and culture	United Kingdom en	language-learning WordPress	robotsllmsaihumans	emailphone	full · 12
idiommas.com ↗	68 match 1 shared topics	Idiommas Language Services	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.