Malmö Arena, venue for the Eurovision Song Contest 2024. Werner Nystrand/imagebank.sweden.se

Eurovision of Languages – 2024 Edition!

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It feels like we only just said goodbye to the last one, and another Eurovision Song Content has rolled around again. Once a veritable garden of languages, all competing broadcasters were re-granted a free choice of song language in 1999. Sadly (for linguaphiles) that’s meant English lyrics for the most part.

But linguistic diversity has found a way, too, and not just thanks to those hardy regulars like France, Italy, Portugal and Spain that almost never disappoint with home-language lyrics. The 2023 edition saw the welcome return of tongues long-missed on the Eurovision stage, like Finnish and Russian.

So how does 2024 measure up against that pretty high bar?

The Eurovision Language Contest 2024

Big Firsts

Notably, we have two language debuts at this year’s contest. Azerbaijan, entering since 2008 without a word of Azeri, finally treats us to a few words of this beautiful Turkic language in the entry Özünlə apar (take me with you). And from Australia, a competing member of the family since 2015, we have the uplifting song One Milkali (One Blood) featuring lyrics in Yankunytjatjara, a Pama-Nyungan language from Western Australia. Azeri and Yankunytjatjara may not feature as their full entry texts, but it is a beautiful thing to celebrate new languages on the Eurovision stage!

As an aside, as one commenting fan dubbed it, it’s that moment when Yankunytjatjara makes it to Eurovision before Scottish Gaelic and Welsh. We UK fans live in hope…

There’s a first for Armenian, too. While we’ve heard the language in previous entries, 2024 is the first time it will be the sole language of an Armenian entry. Jako has a world music fusion vibe, and a simple message of be yourself, which is a noble sentiment in any language.

Many Happy Returns

The it’s been TOO long! prize must go to Norway this year. Norway has sent a song with Swahili lyrics (2010) more recently than it has one på norsk (2006). The latter, Christine Guldbrandsen’s Alvedansen, didn’t even do particularly badly, so heaven knows what put them off.

This year, though, Norwegian folk metallists Gåte were the surprise vanquishers of fan favourites Keiino, pipping them to the Norwegian ticket with the song Ulveham and breaking the Norwegian drought. Its beautifully haunting arrangement builds on traditional Kulning calls from the mountain herds of Norway, featuring lyrics drawn from Telemark dialect.

While the return of Finnish was last year’s joy, its loss this year is tempered by the return of its close cousin, Estonian. The collaboration between 5miinust and Puuluup will present (Nendest) narkootikumidest ei tea me (küll) midagi (the crazily-titled We (sure) know nothing about (these) drugs), the first time Estonia has presented its national language since back-to-back eesti keel in 2012 and 2013. Incidentally, it wasn’t all English for Estonia in the interim – they achieved a solid top ten in 2018 with a song in Italian, of all tongues.

Going Dutch, Again

Dutch had fared similarly poorly in the anglophone takeover too – until recently. After one of many mid-noughties semifinal failures, the Netherlands ditched its national language following the 2010 contest. It took until 2022 for Dutch to pop up again, with considerable success – De diepte ended up of the left side of the scoreboard in the Torino contest. Two years later, Dutch is back again, this time with Joost Klein and Europapa.

Lithuania has also shied away from using its home tongue on the Eurovision stage. It took 21 years for the language to be heard again after a mediocre result in English and Lithuanian in 2001. But that return made the 2022 final, with Monika Liu scoring a solid result just outside the top ten. This year, Silvester Belt is aiming to do even better with the catchy Luktelk (Wait).

Greece will be looking to mirror that national language return to success, too. Greece’s last two attempts with full or partial Greek lyrics ended in very rare semifinal failure for the country, in 2016 and 2018. Marina Satti aims to be the first Greek-singing finalist since 2013, with a self-ironising, catchy, ethnopop banger.

Doubling Up

French and Spanish fans have an extra bite at the language cherry this year, and from perhaps surprising sources. Thanks to the return of Luxembourg to the contest – after an incredible 31 years away – we have a song with mixed French and English lyrics in the tally. As for Spanish, we can thank the Sammarinese win of Spanish rockers Megara for the fact that this year’s entry from the microstate will be in Spanish, not Italian or English.

Mixed Bag from the Balkans

We can always count on the Balkans for some non-anglophone fun at Eurovision. This year, we have, interestingly, two proper-name songs in Serbian Ramonda and Slovene Veronika. Only Albanian and Croatian lose out to English entries (although Croatia is doing very well for that as a pre-contest bookies’ favourite!).

The Hardy Annuals

And of course, we have our stalwarts, our indefatigable linguistic champions – France, Italy, Portugal and Spain. They’ve kept the national language flags flying almost without fail throughout the modern free-language era, and we should celebrate each of them for that. Italy in particular is a veritable feast of lyrics, with the hugely talented Angelina Mango firing them out in a fast-paced three minutes. Little wonder that she is also one of this year’s hot favourites for the top.

We might almost add Ukraine to this list, having not only sent, but won in Ukrainian in recent years. Ukraine opts for a cool mix this year with the duo Alyona Alyona and Jerry Heil.

And for the Germanists…

No consolation for the Germanists, this year – again. 2012 was the last time German – or at least a dialect of it – formed part of a Eurovision song lyric. That honour goes to Austria’s Woki mit dem Popo (pretty much shake your bumbum in Upper Austrian dialect), which failed to make the final that year.

Can you believe it’s been that long? Me neither. But there’s small consolation in the fact that Germany had a stonker of a song in their national final this year. Galant’s Katze (cat) may have fallen at the final hurdle, but it has all the makings of a cult classic.

Which are your favourite non-English entries this year? And which language do you yearn to hear again on the Eurovision stage? Let us know in the comments!

A neon style image of a robot with a speech bubble to illustrate the idea of Swedish proverbs as language learning material

Proverbs and Language Learning : From Folk Wisdom to Classroom

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I’ve been crash-learning Swedish (well, side-stepping into it from Norwegian) more and more intensively of late. And one of the most pleasant linguistic detours I’ve made has been through the lush valleys of Swedish proverbs.

Proverbs and sayings have always been a favourite way in of mine when working on a language, and for several good reasons. Firstly, they’re short, and usually easier to remember by design so people could easily memorise and recite them. Secondly, they’re very often built around high-frequency structures (think X is like Y, better X than Y) that serve as effective language models.

Birds in a forest, a favourite trope of proverbs!

Bättre en fågel i handen än tio i skogen (Better one bird in the hand than ten in the forest)

But there’s another big pay-off to learning through proverbs that is more than the sum of their words. They pack a lot of meaning into a short space – drop them in and you’re calling to the conversation all the nuance they carry. Think of the grass is always greener… You don’t even need to mention the second, missing part of that English proverb, and it already calls to mind countless shared parables of misplaced dissatisfaction. And since they’re based on those parables and folk histories that ‘grew up’ alongside your target language, proverbs can grant us some fascinating cultural insights, too.

In short, master proverbs and you’ll sound like you really know what you’re talking about in the target language.

Finding Proverbs

For many target languages, you’ll likely be able to source some kind of proverbs compendium in a good bookshop, as they’re as much of interest to native speakers as they are to learners. When you do find a good one, compilations of sayings are the epitome of the dip-in-and-out book. I’ve picked up lots of Gaelic constructions and vocab leafing idly through Alexander Nicolson’s Gaelic Proverbs in my spare moments. It was definitely time for me to try the same with some Swedish.

Without a good Swedish bookshop to hand, though, I turned to the Internet in the meantime. A good place to start is to find out what “[your language] proverbs” is in your target language (it’s svenska ordspråk in Swedish), and see what a good search engine throws up.

Tala är silver, tiga är guld.

Tala är silver, tiga är guld (Talking is silver, silence is gold)

Local cultural institutions in particular can be rich sources of articles on folk wisdom like proverbs. There are some lovely sites and articles that introduce the wise words of svenska in digestible chunks. My handful of Swedish favourites below are each written for a native speaker audience. They all give potted backgrounds on the proverbs in Swedish, making for some great extra reading practice.

INSTITUTET FÖR SPRÅK OCH FOLKMINNEN

This folk-minded article is a wonderful introduction to Swedish proverbs, offering not only examples, but also exploring the characteristics of proverbs and what makes them ‘stick’. There’s a special section on sayings from the Gothenburg area too, which adds a nice local flavour.

TIDNINGEN LAND

This article from the Land publication offers 19 common Swedish proverbs in handy list format. Even more handily, it paraphrases each in order to explain their meaning. Great for working out what some of the more archaic words mean without reaching for the Swedish-English dictionary!

NORDISKA MUSEET

Nordiska Museet offers another well-curated list, with not only paraphrasing, but etymological information on the more difficult or outdated words.

The Proverbial AI

You can also tap the vast training banks of AI platforms for proverbial nuggets. Granted, the knowledge of LLMs like ChatGPT and Claude may not be complete – training data is only a subset of material available online – but AI does offer the advantage of activity creation with the material.

Try this prompt for starters:

Create a Swedish proverbs activity to help me practise my Swedish.
Choose five well-known proverbs, and replace a key word in each with a gap. I must choose the correct word for the gap from four alternatives in each case. Make some of the alternatives humorous! Add an answer key at the end of this quiz along with brief explanations of each proverb.

I managed to get some really fun quizzes out of this. Well worth playing around with for self-learning mini-worksheets!

A Swedish proverbs activity created by ChatGPT

A Swedish proverbs activity created by ChatGPT-4

AI platforms can also play a role as ‘proverb visualisers’, which is how I generated the images in this article. Proverbs can often employ some quite unusual imagery; letting picture generators loose on those can be a fantastic way to make them more memorable!

However you come across target language sayings and proverbs, you can learn a lot from these little chunks of wisdom. Do you have a favourite saying in any of the languages you’re studying? Let us know in the comments!

ChatGPT French travel poster

A Second Shot at Perfect Posters – ChatGPT’s Image Tweaker

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The big ChatGPT news in recent weeks is about images, rather than words. The AI frontrunner has added a facility to selectively re-prompt for parts of an image, allowing us to tweak sections that don’t live up to prompt expectations.

In essence, this new facility gives us a second shot at saving otherwise perfect output from minor issues. And for language learning content, like posters and flashcards, the biggest ‘minor’ issue – the poor spellings that crop up in AI image generation – makes the difference between useful and useless material.

Rescuing ChatGPT Posters

Take this example. It’s a simple brief – a stylish, 1950s style travel poster for France. Here’s the prompt I used to generate it:

Create a vibrant, stylish 1950s style travel poster featuring Paris and the slogan “La France”.

I wanted the text “La France” at the top, but, as you can see, we’ve got a rogue M in there instead of an N.

ChatGPT generated image of a French travel poster

To target that, I tap the image in the ChatGPT app. It calls up the image in edit mode, where I can highlight the areas that need attention:

ChatGPT image editing window

Then, I press Next, and can re-prompt for that part of the image. I simply restate the slogan instructions:

The slogan should read “La France”.

The result – a correct spelling, this time!

ChatGPT French travel poster

It can take a few goes. Dodgy spelling hasn’t been fixed; we’ve just been given a way to try again without scrapping the entire image. Certain details also won’t be retained between versions, such as the font, in this example. Others may be added, like the highly stylised merging of the L and F in the slogan (a feature, rather than a bug, I think!).

But the overall result is good enough that our lovely 1950s style poster wasn’t a total write-off.

Another case of AI being highly imperfect on its own, but a great tool when enhanced by us human users. It still won’t replace us – just yet!

Image tweaking is currently only available in the ChatGPT app (iOS / Android).

Neon robots racing. Can Claude 3 win the AI race with its brand new set of models?

Claude 3 – the New AI Models Putting Anthropic Back in the Game

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You’d be forgiven for not knowing Claude. This chirpily-named AI assistant from Anthropic has been around for a while, like its celebrity cousin ChatGPT. But while ChatGPT hit the big time, Claude hasn’t quite progressed beyond the Other Platforms heading in most AI presentations – until now.

What changed everything this month was Anthropic’s release of all-new Claude 3 models – models that not only caught up with ChatGPT-4 benchmarks, but surpassed them. It’s wise to take benchmarks with a pinch of salt, not least because they’re often internal, proprietary measures. But the buzz around this latest release echoed through the newsletters, podcasts and socials, suggesting that this really was big news.

Tiers of a Claude

Claude 3 comes in three flavours. The most powerful, Opus, is the feistiest ChatGPT-beater by far. It’s also, understandably, the most processor-intensive, so available only as a premium option. That cost is on a level with competitors’ premium offerings, at just under £20 a month.

But just a notch beneath Opus, we have Sonnet. That’s Claude 3’s mid-range model, and the one you’ll chat with for free at https://claude.ai/chats. Anthropic reports that Sonnet still pips ChatGPT-4 on several reasoning benchmarks, with users praising how naturally conversational it seems.

Finally, we have a third tier, Haiku. This is the most streamlined of the three in terms of computing power. But it still manages to trounce ChatGPT-3.5 while coming impressively close to most of those ChatGPT-4 benchmarks. And the real clincher?

It’s cheap.

Haiku costs a fraction of the price per token of competing models to developers. That means it’s a lot cheaper to build it into language learning apps, opening up a route for many to incorporate AI into their software. That lower power usage too is a huge win against a backdrop of serious concerns around AI energy demands.

Claude and Content Creation

So how does it measure up in terms of language learning content? I set Claude’s Sonnet model loose on the sample prompt from my recent Gemini Advanced vs. ChatGPT-4 battle. And the verdict?

It more than holds its own.

Here’s the prompt (feel free to adapt and use this for your own worksheets – it creates some lovely materials!):

Create an original, self-contained French worksheet for students of the language who are around level A2 on the CEFR scale. The topic of the worksheet is “Reality TV in France“.

The worksheet format is as follows:

– An engaging introductory text (400 words) using clear and idiomatic language
– Glossary of 10 key words / phrases from the text (ignore obvious cognates with English) in table format
– Reading comprehension quiz on the text (5 questions)
– Gap-fill exercise recycling the same vocabulary and phrases in a different order (10 questions)
– ‘Talking about it’ section with useful phrases for expressing opinions on the topic
– A model dialogue (10-12 lines) between two people discussing the topic
– A set of thoughtful questions to spark further dialogue on the topic
– An answer key covering all the questions

Ensure the language is native-speaker quality and error-free.

Sonnet does an admirable job. If I’m nitpicking, the text is perhaps slightly less fun and engaging than Gemini Advanced. But then, that’s the sort of thing you could sort out by tweaking the prompt.

Otherwise, it’s factual and relevant, with some nice authentic cultural links. The questions make sense and the activities are useful. Claude also followed instructions closely, particularly with the inclusion of an answer key (so often missing in lesser models).

There’s little to quibble over here.

A language learning worksheet created with Claude 3 Sonnet.

A Claude 3 French worksheet. Click here to download the PDF!

Another Tool For the Toolbox

The claims around Claude 3 are certainly exciting. And they have substance – even the free Sonnet model available at https://claude.ai/chats produces content on a par with the big hitters. Although our focus here is worksheet creation, its conversational slant makes it a great option for experimenting with live AI language games, too.

So if you haven’t had a chance yet, go and get acquainted with Claude. Its all-new model set, including a fabulous free option, makes it one more essential tool in the teacher’s AI toolbox.

Masses of digital text. AIs with a large context window can process much more of it!

Gemini’s Long Context Window – a True Spec Cruncher

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Maybe you’ve noticed that Google’s Gemini has been making gains on ChatGPT lately. Of all its recent impressive improvements, one of the lesser-sung features – at least in AI for Ed circles – is its much enhanced context window.

The context window is essentially how much text the AI can ‘remember’, and work with.  Google’s next model boasts one million characters of this memory, leaving other models – which count their own in the hundreds of thousands – in the dust. It blows open the possibilities for a particular kind of AI task: working with long texts.

Language learners make use of all kinds of texts, of course. But one particularly unwieldy (although hugely useful) type where this new feature could help is the exam spec.

Exam Spec Crunching with AI

Language exam specs are roadmaps to qualifications, listing the knowledge and skills students need to demonstrate linguistic competency. But they have a lot of fine detail that can bog us down.

As a content creator, one thing that challenges me is teasing out this detail into some kind of meaningful arrangement for student activities. There is a mass of vocab data in there. And as systematic as it is, abstract lists of connectives, temporal adverbs and helper verbs don’t make for very student-friendly lesson material.

With a massive text cruncher like Gemini, they are a lot easier to process. Just drag in your spec PDF (I’ve been playing around with the new AQA GCSE German doc), and tease out the material in a more useful format for planning:

Take this German exam spec, and create an outline plan of three terms of twelve lessons that will cover all of the thematic material.

Additionally, it can help in creating resources that cover all bases:

Create a short reading text to introduce students to the exam topic “Celebrity Culture”. It should be appropriate for students aiming for the top tier mark in the spec. In the text, make sure to include all of the prepositions from the prescribed word list.

With a long textual memory, it’s even possible to interrogate the spec after you’ve uploaded it. That’s literally just asking questions of the document itself – and, with that bigger window, getting answers that don’t overlook half the content:

If students have one year to learn ALL of the prescribed vocabulary in the spec, how many words should they be learning a week? Organise them into weekly lists that follow a broadly thematic pattern.

Supersized Context Window – Playing Soon at an AI Near You!

For sure, you can use these techniques on existing platforms straight away. However, due to the smaller context window, results might not always be 100% reliable (although it’s always fun trying!). For the new Google magic, we’ll have to wait just a little longer. 

But from the initial signs, it definitely looks worth the wait!

Gemini’s new supersized context window is available only in a limited released currently, and only via its AI Studio playground. Expect to see it coming to Gemini Advanced very soon!

Lots of owls - not quite the Duolingo one, but they're looking strict nonetheless!

Going Cold Owl (Once More, With Feeling)

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Well, friends – I finally did it. I beat my Duolingo Leagues addiction.

Yes, it’s been months in the making. It was back in May last year that I wrote about that tipping point where Duolingo’s gamification switches from incentivising learning, to subverting it. After more than two years in Diamond, my main Duo activity had become all about chasing points, rather than finishing courses.

I’d even sussed out a ‘good’ trick – an easy lesson on Hindi alphabet characters – that I could mindlessly run through to amass points in my idle moments. Then I’d justify it with the two or three daily lessons I’d do that were relevant to my language goals.

Only it wasn’t good at all, in the grand scheme of things. What is was, was a great way to de-direct my learning time on what is otherwise a nice little supplementary app for my language plan.

Surely my idle moments were worthy of something more.

Letting Yourself Fall (and Trusting in a Soft Landing)

Gamified apps like Duolingo are adept at creating a sense of worth out of otherwise valueless tokens. A league title here, an achievement there – it feels good to notch these accolades up. But the real value of a language learning app is never the dressing, it’s the language-y filling in the centre. When it stops being about that, it’s time to stop.

So, in a final moment of take-the-plunge bravery, I stopped chasing the demotion cut-off last week. I let myself fall. And I won’t pretend I didn’t have several fleeting moments of panic when I thought – it’s not too late, I can still catch up!

But nope – I was resolute. And when, on Monday morning, I woke up to – gasp – Obsidian and not Diamond, do you know what? It felt liberating.

I’d broken the cycle.

I didn’t feel like I’d left an exclusive club. I didn’t feel like I’d lost anything valuable. I just felt relieved.

Duolingo – Done Right (aka all things in moderation)

Since then, I’ve kept up my lengthy Duolingo streak. But not through mindless tap-tap-tap lessons – instead, through a couple of Swedish and Gaelic lessons to progress through the courses. Just as it should be.

If you’re in this autopilot pattern yourself, ask yourself: what do I gain? Reframing any kind of daily screen-addictive behaviour in this way is the first step in changing it.

Keen on more tips for breaking digital additions? Check out:

Foreign alphabet soup (image generated by AI)

AI Chat Support for Foreign Language Alphabets

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I turn to AI first and foremost for content creation, as it’s so good at creating model foreign language texts. But it’s also a pretty good conversational tool for language learners.

That said, one of the biggest obstacles to using LLMs like ChatGPT for conversational practice can be an unfamiliar script. Ask it to speak Arabic, and you’ll get lots of Arabic script. It’s usually smart enough to work out if you’re typing back using Latin characters, but it’ll likely continue to speak in script.

Now, it’s easy enough to ask your AI platform of choice to transliterate everything into Latin characters, and expect the same from you – simply instruct it to do so in your prompts. But blanket transliteration won’t help your development of native reading and writing skills. There’s a much better best of both worlds way that does.

Best of Both Worlds AI Chat Prompt

This prompt sets up a basic conversation environment. The clincher is that is give you the option to write in script  or not. And if not, you’ll get what script should look like modelled right back at you. It’s a great way to jump into conversation practice even before you’re comfortable switching keyboard layouts.

You are a Modern Greek language teacher, and you are helping me to develop my conversational skills in the language at level A2 (CEFR). Always keep the language short and simple at the given level, and always keep the conversation going with follow-up questions.

I will often type in transliterated Latin script, as I am still learning the target language alphabet. Rewrite all of my responses correctly in the target language script with any necessary grammatical corrections.

Similarly, write all of your own responses both in the target language script and also a transliteration in Latin characters. For instance,

Καλημέρα σου!
Kaliméra sou!

Do NOT give any English translations – the only support for me will be transliterations of the target language.

Let’s start off the conversation by talking about the weather.

This prompt worked pretty reliably in ChatGPT-4, Claude, Copilot, and Gemini. The first two were very strong; the latter two occasionally forget the don’t translate! instruction, but otherwise, script support – the name of the game here – was good throughout.

Try changing the language (top) and topic (bottom) to see what it comes up with!

 

An illustration of a robot scribe writing AI prompts for ChatGPT or Gemini

Power to the Prompts : Fave Tweaks for AI Worksheets

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Content creation is what AI excels at. That’s a gift to language learners and teachers, as it’s the easiest thing in the world to create a set of prompts to run off original, immersive worksheets.

AI isn’t great at everything, though, which is why our prompts need to tweak for its weaknesses – the things that are obvious gotchas to language folk, but need explaining to a general assistant like AI. Fortunately, in most cases, all you need is an extra line or two to put it right.

Here are five of my favourite prompt-enhancers for worksheets, covering everything from vocab to copyright!

Five Tweaks for Perfect Prompts

Cut Out the Cognates

Cognates are generally great for language learners. As words that are instantly recognisable, they’re extra vocab for free. But for that very reason, they’re not the ones that worksheets should be making a song and dance about. It’s not particularly useful, for example, to have “der Manager” picked out in your German glossary as a key word. Yes, I worked that one out!

Try this in your vocab list prompts, bearing in mind that not all platforms will work equally well with it (Gemini aced it – ChatGPT sometimes gets it):

Don’t list items that are obvious English loanwords or cognates with English.

Highlight the Good Stuff

You know what I mean by the good stuff – those structures and snippets of languages that are really frequent, and really reusable. I like to call them sentence frames – you can learn them, and switch in other words to add to your own linguistic repertoire.

You can ask AI to draw attention to any really pertinent ones in your target language texts:

Highlight (in bold and italics) the most pertinent key words and phrases for the topic, and provide a brief glossary of them at the end.

Make It Colloquial

Vanilla AI can sound bookish and formal. That’s no good as a model for everyday speech, so polish your prompts with a wee push to the colloquial:

Make the language colloquial and idiomatic, in the style of a native speaker.

Include an Answer Key

It might seem obvious, but if you’re making materials for self-study, then you will find an answer sheet indispensable. It’s an often overlooked finishing touch that makes a worksheet truly self-contained:

Include an answer key for all questions at the end.

Covering Your Back With Copyright

Copyright issues have been bubbling in the background for LLMs for some time now. They produce texts based on vast banks on training data, which isn’t original material, of course. But in theory, the texts that pop out of it should be completely original.

It can’t hurt to make that explicit, though. I like to add the following line to prompts, especially if I’m intending to share the material beyond personal use:

Ensure that the text is completely original and not lifted directly from any other source.

 

What are your favourite tweaks to make perfect prompts? Let us know in the comments!

A collage of lots of word and picture cards.

Treating Leeches – Strategies for Suspended Anki Cards

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How do you deal with leeches?

I’m not talking about traditional medicine here (not to downplay the modern application of the age-old treatment at all!). The leeches I’m more concerned with on the day-to-day are those Anki cards you forget so persistently that the app takes charge, suspending them from your deck.

It’s an apt description for an item that sucks away your time and motivation. I don’t know about you, but I also get that sinking feeling of failure when “card was a leech” pops up baldly.

Catching Leeches

First of all, fight that feeling. Leeches can creep up for a number of reasons, and your memory lapse is the least of them. Despite the cold rebuke, Anki means well. It suspends the cards to save you wasting any more time on part of your learning strategy that isn’t quite working. So, for now, let them go.

Instead, schedule a review of leeches regularly. Once a month or so seems about right if you’re a prolific language learning user – I always have a couple to deal with in that time span. In the Anki desktop app, head to Browse. Then, there are two ways to list leeches. You can simply highlight Suspended under Card State in the left-hand menu.

Exposing leeches via Suspended Cards in the Anki Browse window

Exposing leeches via Suspended Cards in the Anki Browse window

Otherwise, you can use the fact that Anki tags leech cards with the text leech to draw them out. Highlight one of your decks in the left-hand menu, then in the bar at the top of the Browse panel, add the text tag:leech to narrow the results to that set.

Exposing leeches via tags in the Anki Browse window

Exposing leeches via tags in the Anki Browse window

Now out in the open, we need to think of a rehabilitation strategy for our annoyingly helpful leeches.

Treating the Cause, Not the Problem

It’s tempting to just un-suspend by removing that leech tag, and pop the card right back in the deck. But there’s a reason Anki singled it out – something wasn’t working.

Often, it’s not simply failure to remember. Many of mine aren’t words I’ve forgotten, but words I get mixed up – either with other target language words, or with the wrong English translation. For example, in Greek, I leeched out παραδέχομαι (paradéchomai – admit) with αποδέχομαι (apodéchomai – accept), due to their similarity – same root verb, different prefix.

It’s not always just soundalikes, either, but happens with concepts. Left and right are a case in point in Swahili. I know both words very well – kushoto and kulia – but I’d always say one for the other, to the point that they were marked as leeches.

I could recall them – it had just become 50/50 whether I’d say one or the other!

These cases of interference usually arises because there’s a lack of distinguishing information on the vocab card. The easiest way to fix that is to make your cards clearer and more precise. Any defining detail will do, and with language learning, context is key. Short sentences that embed the vocabulary items are perfect. To give the brain more to hang onto, you can expand them from basic X is Y types to X is Y, so/because…, and even make use of allegory and rhyme in your examples.

Taking the Swahili example, there’s a topical hook with those that adds layers of meaning: politics. There’s also a good rhyme for kulia in pia (also). So to my card, I add the sentence (and forgive the unpalatable mention of unpopular politicians here) Boris yuko kulia, na Rishi pia (Boris is on the right, and Rishi too).

And (of course) there’s a wee AI tip for that. If you struggle to fine rhymes – not unreasonable if you’re at an early stage in a language – then just ask your LLM of choice for rhyming pointers, or even entire couplets. It’s one of the things is does a pretty decent job of!

Asking AI for rhyming words in foreign languages.

Asking ChatGPT-4 for rhyming words in foreign languages.

 

 

Leeches are an initially frustrating but ultimately helping feature of the Anki lifestyle! Do you have alternative methods for bashing them? Let us know in the comments!

Lots of websites floating around a central AI sphere

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If you’ve been following my recent posts, you’ll know that I’ve been embedding AI deeply into my language learning routine.

There are some truly min-blowing ways to incorporate ‘raw AI’ – using direct prompts with LLMs like ChatGPT – into your learning, from live activities with personality, to custom content creation. But likewise, there are plenty of ready-to-run, AI-infused sites that you can use for language fun.

Here are a few of my favourites!

KOME.AI – YouTube Transcript Generator

I came across this when asked by a friend struggling to transcribe a long conference talk video for work. Surely there’s some way to automate that? And sure there was, and it’s Kome.ai. 

It’s not the only transcription service out there – there are numerous ones, competing for supremacy – but it’s the most straightforward, it’s multilingual, and it’s free. It’s also fast, seemingly drawing on already-existing auto-captions where available, before kicking in with other tools where necessary. I pasted in a short news clip about the German teacher shortage – I had a transcript almost immediately.

Kome.ai, generating YouTube transcripts with AI

Delphi’s Digital Clones

Most of the best prompt strategies involve telling AI who you want it to be. Delphi.ai has taken that a step further, by digitally cloning experts in their field – their words and big takes, at least – and making them available to the public. Think ‘coach in a box’.

While the site is set up for those wishing to clone knowledge-imparting versions of themselves (language coach, anyone?), you can browse and chat with many of their demo models. The philosopher collection is particularly enlightening.

PERPLEXITY.AI

AI’s whole bag is text generation. Now, the big tech talk a bit game about these platforms also being digital assistants, but they’re basically content whizzes, and can still be lacking in other task performance areas. Searching seems to be one of these blind spots, which you’ll have realised quickly when faced with Bing’s sometimes laughably off-topic search results.

Perplexity.ai aims to change all that. The developers have taken an LLM, and purpose-designed it for finding sources and answering questions. Consequently, it’s much more useful for learners, educators, researchers, and anyone who doesn’t want their AI to completely miss the point. It’s the future of search.

Web search infused with AI from Perplexity.com

SUNO.AI

AI-generated music has been sneaking up on us all very quietly. It was text generation that was making all the bolshy fuss, up to now. Music was still very much experimental, and out of the question unless you were running models on a powerful testing machine.

But suddenly, we have services that can create whole songs – including lyrics – from a simple prompt. Suno.ai not only gives you that for free – you have ten tracks a day for nothing – but it’s fast, and uncannily good for an early release. And, although they don’t shout from the rooftops about it, it’s also a polyglot!

These aren’t just great, handy, fun sites to use. They also show how broad the brush of AI is, and will be, in the future. They offer a taste of how embedded the tech will become in all sorts of areas of our lives in the coming years.

Are there any emerging AI services you’re a fan of? Let us know if the comments!