Tag: language learning

Watching Foreign TV with a VPN: What Actually Works

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Native-language TV is one of the best (and most enjoyable) input sources a learner can get. But geo-blocking keeps most of it out of reach, and a VPN is the usual workaround. Real news, real soaps, real people talking at real speed: no textbook can compete with a few episodes of a Norwegian crime drama or a German Sunday-night Tatort.

The snag is that public broadcasters like NRK, ARD, RTVE or France Télévisions usually only stream their full catalogue to viewers inside the country. That locks out learners, of course, but also the millions of nationals living abroad who just want to watch the news from home. A VPN lets you appear to be connecting from the right country. The question is which ones actually work – because a lot of the time, they don’t. Why is that?

Why VPNs so often fail for TV

Streaming services don’t need to detect VPNs cleverly – they just keep lists of IP addresses known to belong to VPN providers, and block the lot. A VPN server’s address is shared by hundreds of users at once, so once a broadcaster notices a suspicious crowd coming from one IP, that address goes on the blacklist. The result is the dreaded “not available in your region” message, even though the VPN says you’re in Oslo.

A few other things can give you away:

    • Leaks. Your real location can slip out via DNS or IPv6, even with the VPN on.
    • Your device. Phone and TV apps may also check GPS, the app store region or your device’s language and time zone.
    • Stale cookies. The browser or app may remember where you were before you connected.

It’s an arms race, and it means today’s working server can be tomorrow’s dead end. Annoyingly, it also catches out overseas users who are perfectly entitled to the content – collateral damage in the war on VPN users.

So what works best?

The best options for foreign TV

In my experience, Proton VPN is the cheapest reliable option for foreign TV – but every provider here gets blocked sometimes. A word of warning before you read any “best VPN” list: most of them are stuffed with affiliate links, and NordVPN tends to top them all. Real-world results with smaller public broadcasters can look rather different.

VPN Price bracket My verdict for foreign TV Worth knowing
Proton VPN (Plus) Budget on a 2-year plan My go-to: the most reliable I’ve used, and the cheapest The free tier doesn’t support streaming — you need Plus
NordVPN Budget to mid Hit and miss — works one day, blocked the next Huge server network; tops most review lists
Surfshark Budget A popular cheap alternative Unlimited devices on one account
ExpressVPN Premium Consistently well rated for streaming You pay noticeably more for it

Whatever you pick, make the most of free trials to test the specific channels you care about. Working with Netflix tells you very little about NRK, RTVE Play or the ARD Mediathek.

When it fails: what to try

That said, even the best fail from time to time.

The quickest fix is often the dumbest one: disconnect and reconnect, and you may land on a fresh IP address that isn’t blacklisted yet. That’s exactly what got NRK’s TV app working for me recently, after it had flatly refused to believe I was in Norway.

Here’s a roundup of fixes you can try, ordered roughly from least to most effort:

    • Restart the VPN connection. Disconnect, reconnect, try again – you’ll often get a different address.
    • Pick a different server or city. Choose a specific server in the same country rather than letting the app auto-select.
    • Clear the evidence. Force-quit the TV app, or clear cookies and cache (a private browser window is a quick test).
    • Switch between app and browser. Some broadcasters check apps more strictly than websites, or vice versa.
    • Plug the leaks. Turn on the VPN’s leak protection, disable location access for the app, and check your IP on a leak-test site.
    • Change protocol. Swapping between WireGuard, OpenVPN or a provider’s “stealth” mode sometimes helps.
    • Consider a dedicated IP. Some providers (NordVPN among them) sell an IP that only you use, which is far less likely to be flagged.

If all else fails…

It’s not all about the geo-blocking. Plenty of target-language TV needs no VPN at all:

    • French: TV5MONDEplus is free and built for viewers worldwide.
    • German: DW broadcasts internationally, and a good share of the ARD and ZDF libraries is available outside Germany.
    • Several languages: Arte streams much of its catalogue in French, German, Spanish, Italian, Polish and English. I’ve only recently discovered this myself, and it’s really excellent for documentaries!
    • Everything else: broadcasters’ YouTube channels are often not geofenced, and great for news and short clips. Instagram too is great for bite-sized TV programme chunks.

The bottom line

Get a paid VPN with a decent spread of servers, test it on the channels you actually want, and don’t give up at the first “not available in your region” – a quick reconnect fixes it more often than you’d think. For me, that’s Proton for reliability and price, with NordVPN as an occasionally temperamental backup.

Now go and binge something in your target language. It counts as studying!

Be A Low-Stakes Polyglot

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Just a quick catch-up this week, as I’ve been travelling for a conference. But it’s the mode of that journey I thought was worth sharing – I decided to travel over land this time, rather than fly straight to my destination (Salzburg). It’s something that turned a one-language trip into a glorious multilingual one.

German is one of my main foreign languages, as the first I really focused on, back at school, and the one I studied at uni. It’s probably the one I’m still most confident in. French and Italian, on the other hand, are more ‘picked up as I’ve gone along in life’ languages. They’re just enough to get by, particularly my sketchy italiano. But it’s been a fun challenge having to use them to get by – something I’d have missed by flying straight to Austria.

But there’s something about low stakes languages – the ones you’re not supposed to be good at – that takes away a bit of the performance nerves when trying to speak abroad. It flips the script from producing perfect utterances to achieving goals, like getting a croissant or finding out which platform a train is leaving from. My ego is bruised less when I ungrammatically get that breakfast pastry than if I mess my word order up doing the same in German.

The trick is – and I don’t have any magic advice here, as I’m still trying to do the same myself – to carry that goal-oriented focus over to your ‘good’ languages. Care more about the outcome, less about the form. Perhaps the multi-language format of the trip, serialising shakier languages alongside stronger ones, is a good way to keep that lesson in mind.

Sit, stay… siarad! About the language books that put your pet to work

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Sitting on my language shelf is a rather strange book, for someone who doesn’t have a cat: a copy of Teach Your Cat Irish that I picked up on a trip to Dublin a while ago. Whether it was the new angle on Irish or the cute cat pics, I don’t know – I couldn’t resist it. 

It turns out that the book belongs to a wonderfully charming series by Welsh artist and illustrator Anne Cakebread – and the story behind it is every bit as sweet as the books themselves.

Cakebread began learning Welsh after adopting a dog who understood commands in Welsh. Talking to her new companion gave her a friendly, judgement-free way to practise, and eventually inspired 2018’s Teach Your Dog Welsh. You can hear Anne recount the story in this lovely BBC Wales News video.

The original became a bestseller, and the family has since expanded to include such delights as Teach Your Cat Welsh, Teach Your Dog Gaelic, Teach Your Cat Manx and even Teach Your Dog Korean. Publisher Y Lolfa says that the series has now sold more than 143,000 copies.

For Humans, Too!

They may look like novelty gift books, but they’re genuinely handy little resources for human learners too. Each one contains more than 60 everyday words and phrases, accompanied by pronunciation help and Cakebread’s affectionate retro-style illustrations. Much of the language – greetings, encouragement, instructions and useful expressions such as “wait”, “come here” and “well done” – works perfectly well away from the pet basket.

More importantly, talking to an animal removes one of the biggest obstacles in language learning: embarrassment. Your dog is unlikely to correct your mutations, and your cat was probably going to look disdainful whatever language you used. That makes them excellent audiences for repeating unfamiliar sounds and building the habit of speaking aloud.

The books also attach new language to small, memorable routines. Saying the same phrase whenever it is time for food, a walk or an unsuccessful attempt to remove the cat from the kitchen counter gives vocabulary a real context – and plenty of repetition without it feeling like revision. Add to that the fact that you’re weaving the language into everyday life at home, and they’re just gold, really.

So, will Teach Your Cat Irish produce a fully bilingual feline? Almost certainly not (and I don’t have a cat, bilingual or otherwise, so it’s a moot point). But it might help its human become a slightly more confident speaker.

And that seems a very good result indeed.

This post contains Amazon affiliate links. If you buy through one of these links, I may receive a small commission at no extra cost to you, and it all helps keep Polyglossic running!

Four Languages, Thirteen Years Younger? The Multilingual Brain Strikes Again

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Now here is a language-learning headline calculated to make every serial polyglot feel a wee bit smug: people who speak four languages may have brains that appear up to thirteen years younger than those of monolinguals.

As somebody rapidly approaching 50 with a language list that stubbornly refuses to shrink, I naturally decided to investigate.

The findings were presented at the 2026 Forum of the Federation of European Neuroscience Societies. Researchers worked with multilingual speakers in the Basque Country, using combinations of Spanish, Basque, French and English.

First, they used magnetoencephalography (MEG) to measure patterns of brain activity in 728 people. Artificial intelligence then helped the researchers construct a “brain-age clock”: a model of what neural connectivity typically looks like at different ages.

They applied that model to a separate group of 144 people who spoke between one and four languages. The results, reported by the Federation via ScienceDaily, were striking:

  • Bilingual participants’ brains appeared about six years younger than those of monolinguals.
  • For trilingual participants, the difference was around seven years.
  • For speakers of four languages, it reached roughly thirteen years.

Higher proficiency and earlier acquisition were also associated with younger-looking patterns of brain connectivity.

A Brain Age, Not a Birth Certificate

Before we all add another three languages to Duolingo, there are some important caveats.

“Brain age” is an estimate produced from particular patterns of neural activity. It does not mean that a multilingual 50-year-old literally has the brain of a typical 37-year-old in every respect.

The study also shows an association, rather than proving that multilingualism caused the difference. The researchers accounted for age, sex and education, but could not completely separate language experience from other potentially protective factors.

Multilingual people may, for example, be more likely to read widely, travel, socialise across different communities or engage in lifelong learning generally. As one independent expert pointed out in The Guardian, activities such as exercise, music and social engagement could all be part of the picture.

These are also findings presented at a conference; the fuller published analysis will give researchers more opportunity to prod the methods and conclusions.

Depth Beats Language Collecting

Still, one detail feels especially useful for learners. The apparent effect was not simply binary—monolingual versus multilingual. It varied with the number of languages, how well participants spoke them and how long those languages had been part of their lives.

That suggests the important ingredient may be sustained multilingual experience: recalling words, selecting between competing forms, following different sound systems and continually switching one linguistic network on while damping another down.

In other words, merely collecting beginner courses may not be the neurological elixir we language dabblers would like it to be. Active use and depth seem to matter.

But maintenance need not mean sitting an advanced grammar exam every Tuesday. Conversation, reading, listening and regular retrieval all keep a language working rather than merely stored away. And if those activities also bring social contact, curiosity and enjoyment, they may tick several healthy-ageing boxes at once.

The study doesn’t prove that downloading a language app will turn back time. It does, however, add to an encouraging body of evidence that multilingualism is not simply knowledge we carry around: it is something that continually activates the brain.

So perhaps we all do have room for one more language, after all. Purely for health reasons, obviously.

MFL GCSE Results 2026: Green Shoots of Regrowth for Languages?

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Late August always brings its usual flurry of exam news. And for the first time in a while, this year’s Modern Foreign Languages (MFL) GCSE results feel like a genuine milestone. This summer’s cohort was the first to sit exams under the newly overhauled specifications for French, German and Spanish — a shift that, not without controversy, moved the focus away from broad topics and towards mastering a prescribed vocabulary list of 1,700 words.

So how did the new exams land, and what do the numbers actually tell us about the health of language learning in the UK?

Spanish Keeps Its Crown

The headline from this year’s entry data is a changing of the guard, now well and truly cemented. After Spanish overtook French as the most popular language GCSE last year, the 2026 figures show it consolidating that lead further.

  • Spanish keeps climbing, helped along by its practicality and cultural reach — everything from Latin pop to La Liga gives students a reason to care.
  • German offered a bit of hope for once. After years of worrying decline, entries have stabilised – nothing to throw a party over, but a genuinely welcome sign for Germanists.
  • French, sadly, remains the one losing ground, dropping again relative to Spanish. The Guardian’s editorial on the 2026 results put it well: the decline of “traditional” school languages is an alarming trend that risks turning language learning into a preserve of the affluent.

The Grades: A Welcome Turnaround

One of the biggest worries heading into 2026 was whether the new, vocabulary-heavy specs might cause a dip in attainment while teachers and students found their feet. Thankfully, the transition has gone about as smoothly as anyone could have hoped.

Top grades have held remarkably steady – credit to hard-working teachers, for sure, but also to the grading adjustments Ofqual introduced a few years back to stop marking French and German more harshly than other subjects. Language advocates campaigned for years against MFL being graded more severely than other EBacc subjects, and it’s genuinely satisfying to see that finally paying off.

  • Across German, French and Spanish, the share of students hitting grade 7+ has held up well against the national average.
  • And there’s been no spike in ‘U’ grades among Higher Tier candidates — a good sign the new papers are fair and accessible, not a nasty surprise waiting to happen.

Next Up: Cracking the A-Level Problem

The drop in GCSE entries overall is still a real problem the sector needs to grapple with — but there’s plenty to be optimistic about here. The new specs have bedded in safely, and the old “languages get marked too harshly” narrative is finally losing its grip.

The next challenge is turning this GCSE momentum into A-Level uptake, which is notoriously hard given how expensive small sixth-form language classes are to run. But there are some genuinely clever ideas emerging — the ‘Languages For All’ initiative, a partnership between The Reach Foundation and Royal Holloway, is a good one to watch.

Rather than leaving individual schools to fight their own funding battles, the initiative sets up collaborative ‘hubs’ where schools and colleges pool teachers, resources and centrally taught classes. The results from their Hounslow pilot speak for themselves: between 2022 and 2025, the number of state schools offering A-Level languages tripled, from four to twelve, and enrolments doubled.

For anyone working in languages education, this year offers a solid, encouraging foundation to build on. With fairer grading at GCSE and scalable, resource-sharing models proving themselves at A-Level, there might just be a new blueprint for persuading more students to keep languages going into higher education and beyond.

Hindi Two-Hour Fix : I Faced Down Ergativity!

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You may know that I have a long-running project creating verb drill apps in lots of languages. Well, I’ve been putting off adding Hindi to VerbBlitz for years (honestly!). Not for anything you might consider ‘the hard bit’ – the transliteration of Devanagari, for example (actually really straightforward). It was because of one specific quirk that I’d built up in my head into a real hurdle: the ergativity switch in the perfective aspect.

It’s horrible linguistic jargon, ergativity, and it takes a bit of mental gym to get your head round it if you learnt about ‘subjects’ and ‘objects’ in your native language(s) in school. In a nominative-accusative (subject-object) language, like English for example, the subject gets treated the same way whether the verb is intransitive (“she left”) or transitive (“she ate the bread”). The object is the odd one out, marked or positioned differently.

An ergative-absolutive system splits things up differently. The subject of an intransitive verb – one that doesn’t take an object – is treated like the object of a transitive one – it’s ‘absolved’ of action, so it’s termed the absolutive. Meanwhile, a transitive subject gets a special marker all its own – the ergative case. If you’re wondering, that jargony label comes from Greek for worker – as it’s all about who’s doing the ‘work’ of the verb.

The Pattern in Hindi

Hindi is an Indo-European language like English, and like English, patterns like an accusative-nominative language almost everywhere. The language only switches into an ergative system in one place: transitive verbs, perfective aspect. Everywhere else, it runs on the ordinary subject-agreeing pattern, which is exactly what makes the switch feel so jarring the first time you meet it.

Take the verb khaanaa, “to eat.” In the ordinary habitual present, it behaves like you’d expect from basically any language: the verb agrees with the subject.

main roti khaataa huun — “I eat roti”
(khaataa is masculine, agreeing with main, “I”)

Now switch to the perfective — simple past, “I ate”:

maine roti khaayi — “I ate roti”

(khaayi is feminine, agreeing with roti)

Two things happen at once. First, the subject main takes an extra marker and becomes maine, so being marked as the ergative ‘worker’. Second – and this is the bit that trips people up – the verbal participle khaayi is no longer agreeing with the subject at all. It’s agreeing with roti, the object, which is feminine. Swap in a masculine object and the participle changes with it, not with you.

That’s the whole switch. Transitive verb, perfective aspect, subject gets marked with ne, and the verb hands its agreement over to the object instead.

Why it’s not actually scary

Once you see it named and isolated like that, it stops being a monster under the bed. It’s genuinely just: this one aspect, with transitive verbs, agreement moves from subject to object. Everything else about Hindi verb conjugation carries on exactly as you’d expect as a card-carrying, stock Indo-European language.

There’s also a nice way to hold it in your head if you’ve studied any Indo-European languages with a passive voice: this construction is generally thought to have started life as a passive (“by me, roti was eaten”) that then got reanalysed as an active perfective over time. Once the marker ne clicked into place as “the person who did it,” the participle just never stopped agreeing with the thing that was, historically, its grammatical subject – the object. You don’t need the history to use the pattern, but it makes the logic click.

The lesson

None of this was brain-achingly hard to learn. What was hard was the story I’d told myself about it – that it was some sprawling, thorny irregularity that would derail the whole data model. It wasn’t. It was one clean rule, confined to one aspect, with one consistent trigger.

That’s usually how it goes with the “scary” bits of a language. The size of the thing in your head and the size of the thing on the page are very rarely the same. Give it the two hours it actually needs, and more often than not it turns out to be a paragraph, not a chapter.

The MFL AI Toolkit Just Got Better: New Models for Worksheet Authoring [August 2026]

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Local AI is getting better. The past few weeks saw the release of several compact but powerful LLMs that make a great fit for foreign language content authoring (think worksheets and reading texts, with an even lower overhead!).

I’m using LM Studio to run these for content projects – you’ll find them all as easy downloads in the models tab. Make sure you have a bit of disk space and a fast connection – they range from 8 to nearly 20GB in size – then download and start prompting!

  • Qwen3.8-27B — Alibaba / Qwen
    Released 13–14 August 2026 · Apache 2.0 · ~27.8B parameters

    The freshest of the bunch, and arguably the pick of the litter for MFL content work. It’s the direct successor to the community-favourite Qwen3.6-27B, but now natively multimodal (text, images and video), with a 262K-token context window that stretches to 1M — plenty of headroom for feeding it whole set texts or past papers and asking it to generate comprehension exercises around them. Qwen also ships adjustable “reasoning effort,” handy for dialling compute up for tricky grammar explanations and down for quick vocab drills.

  • Muse Glimmer — Meta
    Released 10 August 2026 · Apache 2.0 · 30B parameters

    Meta’s return to genuinely open weights, distilled down from their closed flagship Muse Spark 1.2. It’s pitched squarely at agentic, on-device workflows — think batch-generating worksheet sets, checking your own answer keys, or wiring up a local pipeline that self-corrects its output — and runs comfortably on a single consumer GPU or a beefy Mac. Covers 100+ languages, which is more than most of us need, but never hurts!

  • Bonsai 27B — PrismML
    Released 14 July 2026 · Apache 2.0 · 27.8B parameters (1-bit / ternary)

    Now this is at the extreme end of “small”, and it’s attempting something quite novel. It’s an ultra-low-bit compression of Qwen3.6-27B — down to 3.9GB in its 1-bit form — small enough to run on a many portable devices (although I’ve not tried it on PocketPal yet), and comfortably on a laptop with room to spare. Quality takes a modest hit versus full-precision Qwen3.6-27B (PrismML’s own figures put it around 90% retention at 1-bit, better at the ~7GB ternary setting), so it’s more “worksheets on the train” than “your main authoring model,” but as a proof that 27B-class output now fits in your pocket, it’s a fun one to have installed.

A slightly older model that’s worth a mention alongside these is Qwen3.6-35B-A3B, a very efficient mixture-of-experts model that nominally has 35B parameters but only about 3B are active at any one time via a clever routing trick. It’s noticeably faster than Qwen3.8-27B for similar output quality in my own testing, and it’s been my workhorse for some time. It’s worth keeping an eye out for a future MoE version of 3.8 built the same way — that could be genuinely excellent.

Why Small Models?

Using smaller models locally addresses many of the environmental and privacy concerns around AI use. All the prompt compute happens privately on your local machine — no student data, no draft worksheets, no half-finished reading texts ever leave your laptop. And despite the tiny footprint, they’re still excellent at producing native-quality text across dozens of languages, which was frankly unthinkable on consumer hardware even a year ago.

None of these is going to replace a careful human eye on the final worksheet — but as first drafts, distractor generation, or a quick “give me five more sentences at this CEFR level,” they’re genuinely useful additions to the toolkit. Worth an afternoon of poking around, at the very least.

Happy Commonwealth Games 2026 – Enjoy The Languages, Glasgow!

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A busy one this week, as many of us in Scotland (and beyond) are preparing for the Commonwealth Games in Glasgow, either as volunteers or visitors. The 2026 edition of the games will be filling the city with sporting joy from 23rd July to 2nd August.

And there’s a language connection there, of course – I couldn’t hide my enthusiasm at that very fact when it was Birmingham’s turn to host the Games in 2022. A huge number of languages are spoken across the Commonwealth, with some countries hanging on to a staggering level of linguistic diversity. Nearly a thousand languages are spoken in Papua New Guinea. Nigeria has over 500. India with over 400, Australia breaking 200, and Cameroon at nearly 300 round off the medal table.

Some of those, of course, will be represented by athletes and spectators coming to Glasgow. It’s a lovely thought to think that the event might bring Arrernte, Hiri Motu or Fulfulde to the streets of the city.

As for me, I’m looking forward to a couple especially. There’s Greek, obviously, thanks to Cyprus. We should hear a fair bit of Swahili about, with visitors from Kenya, Rwanda, Tanzania and Uganda. And francophone countries are in the mix too, with Canada, Cameroon, Mauritius, Vanuatu, and of course, Rwanda again. I’m a little giddy at the thought of hearing Maltese, too – not one I’ve ever tried to learn, but I’ve had a vintage copy of Teach Yourself Maltese on my shelf for years that wants to persuade me otherwise!

And as well as all the Scots, of course, there’s a wee treat for Gaelic speakers and learners – BBC Alba are covering the games in the language.

If you’re in Glasgow, have fun listening out for those languages. And wherever you’re following the fun, have a wonderful Commonwealth Games 2026. Find out more at the official site!

Snarky Marketing vs. Real Data: Duolingo Really Works!

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It’s become almost trendy to knock Duolingo in the last couple of years. In fact, positioning a new language learning product as the “anti-Duolingo” has become a fairly standard marketing tactic.

And while there are always reasons to debate a language learning method – no one approach is perfect in every way for every person – it’s good to know the difference between a social media pile-on and legitimate criticism.

A new paper has provided some more objective balance on that.

Published in Language Learning & Technology, a study by Smith, Jiang, and Peters (2024) took a rigorous look at how effective the app actually is for independent learners. Instead of just relying on anecdotal feelings, they measured outcomes across a comprehensive range of linguistic abilities. We’re talking both receptive skills (reading and listening) and productive skills (writing and speaking), alongside vocabulary, grammar, and pronunciation.

They tracked 48 independent learners tackling the Spanish course over a three-month period. The findings? After putting in an average of about 27 hours of study, participants showed significant improvement across all ability measures. A small sample, for sure, but 27 hours is remarkably low for meaningful gains – less than 15 minutes a day. For an app coming under flak for meaningless gamification, that is an excellent piece of defence.

When gamification earns its keep

Working in educational software development myself, I know how tricky it is to balance engaging user interfaces with genuine pedagogical value. It’s one thing to build a platform that people want to log into every day, but it’s another entirely to prove that it’s actually teaching them something substantive. This paper validates that the gamified approach, when engaged with consistently, really does translate into measurable linguistic gains. The researchers specifically noted that session completion, accuracy rate, and an overall positive user experience were directly linked to this observed growth.

This challenges one of the most common criticisms you hear: that apps like this only teach you how to pass their specific tests, or only build passive recognition. The fact that productive abilities like speaking and writing improved significantly is a huge win, as these are notoriously difficult to scaffold outside of a classroom or immersion environment.

Of course, this isn’t to say any app is a magic bullet. Twenty-seven hours of app time won’t instantly make you fluent enough to debate current affairs over a coffee. I’m a Duolingo user, and get frustration and satisfaction from it in, sometimes, equal amounts. It never hurts to spread your screen time over other language learning apps, either.

But as a tool for building a solid foundation and keeping learners consistently engaged with the target language, this fresh evidence is robust. It turns out that beneath the relentless notifications and leaderboard leagues, there is a some sound pedagogy at work.

The next time a social media ad pops up claiming they’ve “fixed everything the green owl gets wrong”, it might be worth taking it with a pinch of salt. Any tool that gets people to consistently show up, put the hours in, and tangibly improve is something worth celebrating!

The Perfection Trap: Why ‘Sounding Native’ Isn’t the Ultimate Accent Goal

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A paper appeared this month in Language Teaching that reminds us all – in the classroom and learning at home – that accent isn’t everything.

Is English pronunciation teaching in China ready for the Intelligibility Principle? (Xue & Wu, 2026) looks specifically at English language teaching in China, and the pressure that aspirations of nativeness can put on students. For a polyglot community focused on becoming the languages we learn, this seems very familiar. The pursuit of a flawless, native-like accent can often feel like the ultimate prize – anything less is an imperfect near miss. Whether you are tackling the phonology of German, Spanish, or diving into a new challenge like Bulgarian, it is easy to obsess over perfectly mirroring native audio.

However, the authors gently remind us that this pursuit can be entirely unnecessary.

Historically, language instruction has been dominated by this Nativeness Principle, which dictates that learners should attempt to sound as close to native speakers as possible. It’s a hangover from a quite Victorian perfectionism in learning – learn by rote, never forget.  Yet, absolute native-speaker norms are an unrealistic objective for many learners – especially older ones (as much as it stings to hear that pushing 50!).

Instead, a more practical framework is the Intelligibility Principle, which argues that the primary pedagogical goal should simply be mutual understanding.

Does This Matter for the Polyglot Community?

Absolutely. The pressure to achieve a flawless accent can actively hinder our progress. An overemphasis on native-speaker models can add to language anxiety and can decrease a learner’s willingness to communicate. Not surprisingly, many of us have an aversion to feeling a fool – it’s great to push back against that as a language learner, but it’s not always easy.

The reassuring truth is that speech can carry a heavy foreign accent and still remain highly intelligible to listeners, and therefore functional. A lot has been made of Zelenskyy’s excellent communicative skills despite a strong accent, for example. Furthermore, because English and many other languages act as global lingua francas, learners frequently communicate with other non-native speakers. Therefore, a native accent is neither necessary nor particularly beneficial for mutual understanding.

The goal isn’t to erase our linguistic identity, but to ensure our message is clearly received.

Practical Steps: What Should Independent Learners Focus On?

The paper is quite rich on practical suggestions in this regard. When you are building your corpus of vocabulary or grinding through daily flashcards, it helps to know exactly which phonetic features actually impact comprehension. Instead of trying to master every subtle nuance, prioritise the elements that carry the highest functional load:

  • Vowel accuracy: Both the length (quantity) of a vowel and the quality of the vowel play significant roles in whether a word is understood.
  • Consonant clarity: Avoiding the simplification of diphthongs and preventing the conflation of voiced and voiceless plosives are critical steps for maintaining clarity.
  • The bigger picture: Suprasegmental features, which include stress, rhythm, and intonation, have a remarkably strong influence on how a listener perceives an individual’s oral proficiency.

Tools and Tactics for the Daily Grind

As independent learners and language hobbyists, we have to direct our own study routines. Here is how we can implement an intelligibility-first approach:

  • Embrace accommodation strategies: In real-world conversations, mutual understanding is often achieved through spontaneous adjustments like simplification and paraphrasing.
  • Leverage technology: Computer-assisted pronunciation training and artificial intelligence-powered tools offer instant, data-driven feedback and personalised suggestions for self-monitoring.
  • Recognise algorithmic bias: If you are using—or even developing—language learning apps, it is important to remember that commercial automatic speech recognition systems frequently exhibit bias, showing significantly higher error rates for non-native accents.

Ultimately, dropping the demand for native-like perfection takes a massive weight off the language learner’s shoulders. By focusing on practical intelligibility, clear suprasegmentals, and flexible communication strategies, we can speak our target languages with far more confidence and far less anxiety.

Have you evolved from learner perfectionism to more intelligibility-based goals yourself? Was it hard to let go, or did you feel a sense of relief at letting go? Let us know in the comments!