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Enkeleida Kapia - Associate Professor of Linguistics & Albanology — 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
katievandyne.com ↗	72 match 1 shared topics	Katie VanDyne – Assistant Professor \| Department of Languages & Linguistics \| Truman State University	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
cbchang.com ↗	68 match 1 shared topics	Charles B. Chang \| Professor of Linguistics, City University of Hong Kong	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
aatj.org ↗	66 match 1 shared topics	Home - American Association of Teachers of Japanese	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
quantling.org ↗	66 match 1 shared topics	Quantitative Linguistics Lab	en	language-learning	robotsllmsaihumans	emailphone	none
draenog.co.uk ↗	65 match 1 shared topics	Draenog: Welsh Linguistics home page	United Kingdom en	language-learning	robotsllmsaihumans	emailphone	none
mboivoice.net ↗	65 match 1 shared topics	Abi Benson Silon and Linguistic Research	en	language-learning Drupal	robotsllmsaihumans	emailphone	none
odlt.org ↗	65 match 1 shared topics	ODLT - The Online Dictionary of Language Terminology	en	language-learning	robotsllmsaihumans	emailphone	none
filta.org.uk ↗	64 match 1 shared topics	FILTA - Film in Language Teaching Association	United Kingdom en	language-learning	robotsllmsaihumans	emailphone	none
aatg.org ↗	64 match 1 shared topics	American Association of Teachers of German \| AATG	en	language-learning	robotsllmsaihumans	emailphone	none
sergesagna.com ↗	64 match 1 shared topics	SERGE SAGNA – Linguist	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
seveleu.com ↗	64 match 1 shared topics	Maxime Seveleu-Dubrovnik: Belarusian language, Middle-Eastern linguistics — Maxime Seveleu-Dubrovnik	en	language-learning	robotsllmsaihumans	emailphone	none
sevalanguages.com ↗	64 match 1 shared topics	Seva Languages – Professor of Italian, Portuguese, Spanish, and Ukrainian	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
24arabictranslations.com ↗	64 match 1 shared topics	24ArabicTranslations – Your Trusted Linguistic Service Provider	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aprofessoracarolsouza.com.br ↗	64 match 1 shared topics	Professora Carol Souza	Brazil en	language-learning WordPress	robotsllmsaihumans	emailphone	none
ofla-online.org ↗	64 match 1 shared topics	Ohio World Language Association	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
tutorjakarta.com ↗	64 match 1 shared topics	TiA Tutoring Center – Private tutoring for children and professionals in Jakarta	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
queenkingphp.com ↗	64 match 1 shared topics	QUEEN.PH \| QUEEN.PH: Discover Captivating English Games and Enrich Your Linguistic Skills Online	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
okjlregister.com ↗	63 match 1 shared topics	okjl - Explore Your Linguistic Skills with Fun Games and Challenges Online	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.