Tag: vocab

Greek text on a packet of crisps

Language Lessons from Packaging (And A Little Help from ChatGPT)

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If you love scouring the multilingual packaging of household products from discounter stores (a niche hobby, I must admit, even for us linguists), then  there’s a fun way to automate it with LLMs like ChatGPT.

Take the back of this packet of crisps. To many, a useless piece of rubbish. To me (and some of you, I hope!), a treasure of language in use.

Greek text on a packet of crisps - food and household item packaging can be a great source of language in use.

Greek text on a packet of crisps

Normally, I’d idly read through these, looking up any unfamiliar words in a dictionary. But, using an LLM app with an image facility like ChatGPT, you can automate that process. What’s more, you can request all sorts of additional info like dictionary forms, related words, and so on.

From Packaging to Vocab List

Take a snap of your packaging, and try this prompt for starters:

Create a vocabulary list from the key content words on the packaging label. For each word, list:
– its dictionary form
– a new, original sentence illustrating the word in use
– common related words

The results should be an instantly useful vocab list with added content for learning:

Vocabulary list from food packaging by ChatGPT

Vocabulary list compiled by ChatGPT from a food packaging label

I added a note-taking stage to round it off. It always helps me to write down what I’m learning, adding a kinaesthetic element to the visual (and aural, if you’ve had ChatGPT speak its notes out loud). Excuse the scrawl… (As long as your notes are readable by you, they’re just fine!)

Handwritten vocabulary notes derives from crisp packet packaging

Notes on a crisp packet…

It’s a fun workflow that really underscores the fact that there are free language lessons all around us.

Especially in the humblest, and often least glamorous, of places.

French Coffee Breaks

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If you know me, you’ll know that French was long my ‘also ran’ language – solid but under-used and under-practised. But that’s been changing more and more in recent years, as the language has been unexpectedly useful for a whole range of reasons. So this week, here’s a wee heads-up from me about a book I’ve been finding super useful for brushing up my French: 50 French Coffee Breaks.

I’ve been aware of the Coffee Breaks Languages brand for a while, thanks to their series of podcasts. They’re not actually a resource I’d used much in the past, as I had the impression the level was a bit basic. Wrong false impressions – I was pepped up by their Swedish ‘holiday soap opera’ lately, which was far from beginners-only, and really helped prepare for a trip to Malmö.

Anyway, roll on to now, and me, searching for something to improve my French. I’m a repeat false beginner – I did French at school, but ditched it for German and Spanish early on. Since then, though, it’s become incredibly useful (and attractive) as the language of a wonderful country that is very close to my own, and so very easy to visit! Cue lots of ‘improve my French’ blitz sessions over the years.

The cover of the book 50 French Coffee Breaks
50 French Coffee Breaks

French Coffee Breaks

For that French blitz, there are a couple of good, systematic improve-your-French books about, including the excellent Teach Yourself French Tutor, which I’ve used for grammar training. And it’s Teach Yourself that are behind the 50 Coffee Break books too, so there’s heritage and form backing the format.

The approach couldn’t be better for a busy linguist fitting in an extra maintenance language amidst everything else. The chapters offer 5, 10 and 15-minute practice sessions, across a range of useful (very travel-friendly) topics. In fact, they generally took me less time, depending on the level, but in every case they either strengthened something I’d half-forgotten, or taught me something new.

It’s definitely the kind of book you’ll want to write on and deface with a pen – anathema I know (books are my temple too!) but I made an exception with this one. There’s something very satisfying about filling it with scribble, and the pocket paperback format is perfect for it (I’d never sully my Teach Yourself Tutor books this way, mind!).

Overall, a fab purchase that has confirmed how useful the Coffee Break Languages materials are after all. I was thrilled to see that a Swedish version was released only last year too, something that had escaped my attention. Needless to say, I’ve got that one on my shelf now too…

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!

Does AI have a noun problem? Strategies for avoiding it.

AI Has A Noun Problem : Let’s Fix It!

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If you’re using AI for language learning content creation, you might have already spotted AI’s embarrassing secret. It has a noun problem.

Large Language Models like ChatGPT and Bard are generally great for creating systematic learning content. They’re efficient brainstormers, and can churn out lists and texts like there’s no tomorrow. One use case I’ve found particularly helpful is the creation of vocab lists – all the more so since it can spool them off in formats to suit learning tools like Anki.

But the more I’ve used it, the more it’s become apparent. AI has a blind spot that makes these straight-out-the-box vanilla lists much less useful than they could be.

A fixation with nouns.

Test it yourself; ask your platform of choice simply to generate a set of vocab items on a topic. Chances are there’ll be precious few items that aren’t nouns. And in my experience, more often than not, lists are composed entirely of noun items and nothing else.

ChatGPT-4 giving a list of French vocabulary items - all nouns.

ChatGPT-4 giving a list of French vocabulary items – all nouns.

It’s a curious bias, but I think it has something to do with how the LLM conceives key words. The term is somehow conflated with all the things to do with a topic. And nouns, we’re taught at school, are thing words.

Getting Over Your Noun Problem

Fortunately, there’s therapy for your AI to overcome its noun problem. And like most AI refining strategies, it just boils down to clearer prompting.

Here are some tips to ensure more parts-of-speech variety in your AI language learning content:

  1. Explicit Instruction: When requesting vocabulary lists, spell out what you want. Specify a mix of word types – nouns, verbs, adjectives, adverbs, etc. to nudge the AI towards a more balanced selection. When it doesn’t comply, just tell it so! More verbs, please is good start.
  2. Increase the Word Count: Simply widening the net can work, if you’re willing to manually tweak the list afterwards. Increase you vocab lists to 20 or 30 items, and the chances of the odd verb or adjective appearing are greater.
  3. Contextual Requests: Instead of asking for lists, ask the AI to provide sentences or paragraphs where different parts of speech are used in context. This not only gives you a broader range of word types, but also shows them in action.
  4. Ask for Sentence Frames: Instead of single items, ask for sentence frames (or templates) that you can swap words in an out of. For instance, request a model sentence with a missing verb, along with 10 verbs that could fill that spot. “I ____ bread” might be a simple one for the topic food.
  5. Challenge the AI: Regularly challenge the AI with tasks that require a more nuanced understanding of language – like creating stories, dialogues, or descriptive paragraphs. This can push its boundaries and improve its output.

Example Prompts

Bearing those tips in mind, try these prompts for size. They should produce a much less noun-heavy set of vocab for your learning pleasure:

Create a vocabulary list of 20 French words on the topic “Food and Drink”. Make sure to include a good spread of nouns, verbs, adjectives and adverbs. For each one, illustrate the word in use with a useful sentence of about level A2 on the CEFR scale.
Give me a set of 5 French ‘sentence frames’ for learning and practising vocabulary on the topic “Summer Holidays”. Each frame should have a missing gap, along with five examples of French words that could fit in it.
Write me a short French text of around level A2 on the CEFR scale on the topic “Finding a Job in Paris”. Then, list the main content words from the text in a glossary below in table format.

Have you produced some useful lists with this technique? Let us know in the comments!

A deck of neon flashcards. Anki cards might not be quite as fancy!

From ChatGPT to Anki : Instant Potted Vocab Decks!

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With cutting edge AI galvanising the language learning world, traditional tools like Anki – which would have been considered the leading edge not that long ago – seem well in the shade. But it’s not a question of either-or. Traditional and new tech can work in happy symbiosis to support language learning.

Preparing for a recent high-stakes language mission (OK, island-hopping hol!) to Greece, I wanted to turboboost my Greek vocab. Anki was my tool of choice, of course, but one question remained: where to source new flashcard decks? Large Language Models like ChatGPT and Bing were easy choices for generating topical vocab lists, but how much copy-pasting would that involve? I wasn’t keen on spending hours formatting cards manually.

Thankfully, ChatGPT Plus’ Advanced Data Analysis mode can provide a bridge between old and new. Forget that slightly intimidating title – the main boon is simply that this mode can output a text file. And, given the right format, Anki can take such a text file as an import source. With a bit of prompting prowess, we can automate the whole process – from topic to cards, in one fell swoop. Before long, I had a fresh daily drip-drip of new words and phrases, a real shot in the arm for my Greek pre-trip.

Here’s how to task ChatGPT with the whole job of Anki deck creation. If you don’t have the Plus version, no problem – scroll down for a modified version that works with completely free plans and services!

Automatic Anki Decks – Plus Style

First of all, start a new chat in ChatGPT, and make sure Advanced Data Analysis is selected in the drop-down menu under ChatGPT-4.

Selecting Advanced Data Analysis mode in ChatGPT-4.

Selecting Advanced Data Analysis mode in ChatGPT-4.

Now, we’re ready for our prompt. Like our AI speaking prep worksheets, the beauty of this is just how specific you can make your flashcards. The topic can be as broad or narrow as you like. Here’s a sample prompt to create a French deck on the talking point ‘social issues’:

Hello! I’m learning French, and I’d like you to create an Anki flashcard deck to help me. To import a deck, Anki requires a CSV file format with just a “Front”, “Back” and “Tags” field corresponding to the English. the target language phrase and the part of speech. There is no need for header fields, so the first line should represent the first vocabulary item.
Can you create such an Anki-ready list of 50 flashcard items on the topic “Social Issues” for me, then save it for me as a .txt file I can import into the app?
– Provide a good mixture of essential and useful nouns, verbs, adjectives, and useful phrases / sentence frames (ie., so it’s not just a list of nouns!).
– Provide each term in its dictionary form if appropriate, indicating gender, plural and essential or irregular parts briefly as per convention where applicable.
– Ensure that all terms relate to the contemporary culture of the target language country as much as possible.
– Please draw on resources in the original target language when researching which words will be most useful, cross-referencing with all available data and checking constantly to make sure that the target language for the flashcards is accurate and colloquial, never bookish or unnatural.

Limitations (For Now)

One limitation with the Advanced Data Analysis mode is that it can’t run concurrently with ChatGPT’s now restored web-connected mode, or Browse with Bing. All that means is that it will be relying on its banks of training data for the vocab collation, rather than the web. But in most cases, it shouldn’t make too much difference given the vastness of that data (although it will notify you apologetically about it – see below). We’re waiting for the day – hopefully soon – that OpenAI allows users to run several premium features together.

ChatGPT Plus whirring away creating an Anki deck.

ChatGPT Plus whirring away at an Anki deck. Quirky repartee not as standard, but provided by special request thanks to custom instructions! I like my AI cheeky.

Into Anki We Go

One you have your ChatGPT-infused vocab file ready, you can import it straight into Anki. In the Anki desktop app, head to File > Import, and select the file you saved. The import settings window will pop up, including, crucially, which field matches to which column of your data under Field Mapping. The app guesses correctly for the most part, but occasionally you may need to specify that the third column (part of speech) maps to the tags field.

Importing CSV data into Anki decks.

Importing CSV data into Anki decks.

And that’s it. You should get a brief report of the number of items added, and they’re ready to play with straight away. Instant, fresh vocab decks in seconds!

No ChatGPT Plus? No problem!

Now, the above is all very well if you have ChatGPT Plus. Many platforms lack the file output side of things. But you can still get them do the heavy work of vocab-hunting and file-formatting; all you need to do is the final copy-paste-save.

Here’s how to alter the prompt for plain old vanilla ChatGPT and Bing, coaxing it to provide Anki-ready output. I’ve also made the format a little clearer, which might help if you’re using slightly older models like ChatGPT-3.5.

Hello! I’m learning French, and I’d like you to create an Anki flashcard deck to help me. To import a deck, Anki requires a CSV file format with just a “Front”, “Back” and “Tags” field corresponding to the English. the target language phrase and the part of speech.
Can you create such an Anki-ready list of 25 flashcard items on the topic “Driving a Car” for me? Output the CSV data as formatted as code so I can easily copy-paste into a text file for Anki.
– Don’t include header fields in the CSV – the first line of your output should be the first vocabulary item (ie., car,la voiture,noun).
– Provide a good mixture of essential and useful nouns, verbs, adjectives, and useful phrases / sentence frames (ie., so it’s not just a list of nouns!).
– Provide each term in its dictionary form if appropriate, indicating gender, plural and essential or irregular parts briefly as per convention where applicable.
– Ensure that all terms relate to the contemporary culture of the target language country as much as possible.
– Please draw on resources in the original target language when researching which words will be most useful, cross-referencing with all available data and checking constantly to make sure that the target language for the flashcards is accurate and colloquial, never bookish or unnatural.

Your platform should spool out some easily copiable code. Simply paste this into a text file, save, and import into Anki.

Even using 3.5, I got some great results featuring practical, useful vocabulary sets.

Creating Anki decks with the free ChatGPT3.5 model.

Creating Anki decks with the free ChatGPT3.5 model.

Experiment, Experiment, Experiment!

As with all AI prompts, it’s worth experimenting with everything to tweak, improve and get the absolute best out of it. The number of cards, the mix of words and phrases, the source of the material – make it your own. When you have it just right, you can create cards for your own, or your students’ learning, in seconds.

Oh, and don’t forget to save your perfect prompts somewhere you can copy-paste them from later, too!

If you’re keen for more artificial intelligence tips to boost your learning, please check out my book AI for Language Learners. It’s packed with practical examples to fuel your linguistic adventures!

An excerpt from the AQA GCSE Spanish spec.

GCSE Specs : Free Language Learning Roadmaps

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If you’re a book fiend and love cheap resources, you’ll share my excitement for bargainous budget language guides for students taking school exams like GCSE French, German and Spanish. But you’ll be even more excited to learn that there’s a way to get this thematic, graded content for free.

Enter the humble exam specification document. All exam boards, like AQA and Edexcel in the UK, publish specifications for the qualifications they award. These PDF documents list all of the material students are expected to know in order to possess that competence, and serve as a checklist for teachers preparing students for exams. For foreign languages, that includes core vocabulary and structures, as well as cultural background information. Core vocab is frequently in glossary format, making it the stuff of dreams for systematic learners.

GCSE Goldmines

So where to find these little treasure troves of free learning? The first thing is to identify national exam boards that offer foreign language qualifications. I chose the GCSE as it’s the gold standard first stage school leaver certificate in England and Wales; change this as appropriate for whatever local qualification you are more familiar with. Google which boards run those qualifications, then mine their sites for subject pages, where you should find spec docs as downloadable PDFs. Check out AQA Spanish and Edexcel German for great examples.

GCSE French specification page from Pearson EdExcel

GCSE French spec page from Pearson Edexcel

When you drill down into these documents, you’ll find super-handy lists of topic-related words. But you can also find some really handy crib lists that aren’t simply lists of nouns under topic headings. What I find particularly useful are the round-ups of important function words, which you don’t often see in one place in a course book. Looking for a quick cheat sheet for connectives and sentence-builders in your target language? Bingo!

An excerpt from the AQA GCSE French spec.

An excerpt from the AQA GCSE French spec.

Once you have that precious vocab, you can tackle it with your tool of choice. I like to load mine into Anki, or – increasingly, of late – paste it into AI to play some word games with.

Roadmaps – to Plenty of Places!

Obviously, there is some limitation in terms of languages, with an obvious bias for mainstream school languages like French, German and Spanish. You simply don’t find many schools that are teaching Croatian, Swahili or Uzbek. But between AQA and Edexcel, I also counted Chinese, Ancient Greek, Modern Greek, Hebrew, Italian, Japanese, Panjabi, Polish and Russian, so the choice is more impressive than you might fear.

Certainly, these spec docs are no comprehensive textbooks. For vocabulary, they can be a one-stop shop. But for grammar, you’re more likely to get a summary of features students should know, such as essential irregular verbs, or key tenses listed by name, but not fleshed out. That said, there is still huge value in that; see it as a kind of manifesto for what you, yourself, should be focusing on in the early stages of language learning. In this way, GCSE specs can supplement other learning materials as a kind of roadmap.

The Exam Spec Yardstick

As well as providing handy ‘how to’ guides for languages, there’s another benefit. It’s actually quite helpful to gauge your own competence against a national qualification. It gives you the confidence that you are performing in that language at a particular level. Many specs include links to wider levelling tools like CEFR (the A1-C2 scale) too, which is practically the currency of the polyglot community.

But specs can also provide the encouragement you need to seek accreditation yourself. If you have the knowledge and skills for GCSE French under your belt, why not sit GCSE French? There are plenty of further ed organisations that offer language GCSEs for adult learners – check your local colleges and universities to see what’s available.

It’s out there, waiting for you – a bunch of comprehensive, expertly curated resources to download for free. What gems have you found amongst the specs? Let us know in the comments!

An egg frying in a non-stick frying pan (image by freeimages.com). How do you ensure your vocabulary doesn't stick together?

Non-Stick Vocabulary : Separating Similar Words

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We’ve all been there in the early stages of language learning. Somehow, certain words just seem to blend into each other. Does X mean Y or Z? I keep saying X for Y! And why do all those little words look so similar? You want your vocabulary to stick in your mind, not the individual items to stick together. 

These recall problems are pretty normal, particularly when you throw in the social pressure of speaking with others, which can even mess with your native language. With a foreign language, the problem is compounded by differences in phonemic salience – that is., which sounds count as important markers to distinguish one word from another. Something really subtle in your native language, like the difference between a hard stop and a palatalised counterpart, can completely change a meaning. Take the pair of words adabu (good manners) and ajabu (wonder, amazement) in Swahili. When I started Swahili classes, I could not separate them in my head for the life of me. It’s likely that my brain just found it tricky to meaningfully separate the sounds represented by d and j, as /d/ often morphs into /dj/ in my native dialect (try saying induce or and you).

Other times, words might get sticky because they share similar structures that co-trigger, like rhyming sequences. That would explain why I also found it tricky to separate the word asali (honey) from the previous two. Latching onto that aXa pattern, it somehow ended up occupying a very similar memory space to adabu and ajabu. And of course, it probably didn’t help that you spell all three with just five letters! It’s the cost-economising (read: lazy) part of the brain spotting patterns and making heuristic shortcuts – even when these are very unhelpful. Tsk. (Incidentally, the brilliant Daniel Kahneman writes about dodgy heuristics in Thinking, Fast and Slow, which is well worth a read if this piques your interest!)

Revisiting Vocabulary

Interestingly, it’s an effect that isn’t confined to brand new languages. It can even happen with old languages we’re dredging up from the past, or low-level maintaining.

Hebrew is one of those for me. It’s not quite a maintenance language; in fact, I can barely even count it as a fully-fledged language of mine. I barely reached A1 in the modern, spoken language, so it doesn’t take a lot of maintaining. I keep it in that list, chiefly, for reasons of nostalgia!

Anyway, a couple of years ago, I sought to do that minimal maintenance a bit more systematically. I grabbed my copy of Routledge’s Colloquial Hebrew, trawled the first six chapters for vocabulary, and dumped it into Anki. I set my Hebrew deck to drip through a single new card a day, and just let time do the rest.

Overall, it’s been a brilliant, low-key method for solidifying all that ultra-basic stuff. But, every now and again, I do struggle to recall certain words. And surprise, surprise, it’s usually those that look a little bit similar to others. It’s adabu-ajabu all over again!

Seeing it through Anki eyes gave me a new perspective on it, though. In test mode, mix-ups are largely artefacts of the isolated vocabulary item problem. It crops up time and time again in polyglot social media circles: don’t drill words, drill structures. Disembodied parts of speech have little salience on their own. Your brain needs something to hang them onto.

Damage Limitation

Of course, when all your Anki cards are done, you’re already in a bit of a bind over this. You could go back and update all your cards to be sentences (sourcing them from a bank like Tatoeba, for example). But that’s a lot of work.

Instead, you can embed mixological words in some kind of context on the fly. When cross-contamination occurs, think of a phrase – however short – to include the word in. Use alliteration, rhyme, any trick to make it stick. Say it out loud, enjoy the sound of it, visualise it. And try to recall that same phrase whenever the troublesome word pops up again. For my Swahili pair, I came up with:

  • mji wa ajabu (a wonderful town)
  • dada mwenye adabu (a good-mannered sister)

In both cases I’ve chosen a word repeating the troublesome letter (d/j) to highlight the problem sound. I won’t say I never mix them up now – but it has certainly helped.

From my novice Hebrew, another example shows that you can sometimes even combine them together. Take tsar (tight, narrow) and tsad (side). Smoosh them up into tsad tsar (narrow side), and they might just end up sorting each other out.

What words do you tend to mix up in your target language? And how do you go about fixing it? Let us know in the comments!

A big slice of cheese. And Anki moved mine! Picture from freeimages.com

Who Moved My Cheese? Anki media folder, Mac edition

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It is actually a fair while since I last tinkered under the Anki hood. I haven’t needed to, to be honest. I’d set everything up just right for my current clutch of active and maintenance languages way back, and everything was chugging along nicely.

But polyglot dreams never sleep for long. The need for a fresh round of customising came from an exciting new side project, Croatian. Easy, I thought. I’ll rustle up some cute Croatian card layouts, complete with a cute wee flag.

The problem: everything had changed!

Frustratingly, it was no longer possible to access the media and backup folders from the app itself. There must be some rationale behind this, of course, and it’s not hard to reason why. Wrong moves when messing with app files can be dangerous for your precious vocab database.

But, for low stakes operations like simply dropping an image into the media folder, it seems reasonable to have access to it (with a helpful dose of caution!). Unfortunately, there’s a dearth of how-to out there right now. It took a bit of Googling and re-Googling to find the answer. But, finally, I sorted it.

And here’s how!

Anki media folder (Mac)

The Anki library folder now lives in the following place on a Mac:

/Users/[your_username]/Library/Application Support/Anki2/[your_anki_name]

However, the path is probably hidden to you from the Library level up. To get round that, bring up your username folder (Users/[your_username]) in Finder. Then,  hold down command (⌘), shift and the full stop (period, .) key to show hidden files and folders. You should now see a whole load of extra items, including the Library folder. Drill down from there along the above path, and you should end up in your Anki directory.

If it’s not there, then it’s also worth trying the ‘all users’ version of that path:

/Library/Application Support/Anki2/[your_anki_name]

Once you’ve located it and entered the (now) secret lair, it’s still collection.media we’re interested in as before. You can drop whatever you like in here, and refer to it in your card templates and other custom Anki items – just like in the old days!

Once you’re done, of course, you might well want to hit command (⌘), shift and the full stop again go hide all those oddly-named bits and pieces – until the next time!

 

A dark forest, a good setting for an Anki horror story, perhaps? Picture from freeimages.com

Coming Up Blank : An Anki Horror Story

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I lived through an Anki horror story this week. 🧟‍♂️

There I was, skipping merrily through my list of vocabulary, words flying past at a rate of knots. This is going well, I thought, with naive overconfidence.

But then it hit me. I stopped fast in my tracks. Staring blankly at the word on the screen, nothing would rise from the depths of memory. A void. I was peering into the darkness, teetering on the brink. Brain, don’t fail me now.

Then, I scrambled to think back, at the edge of desperation, to the time when I first added that word to Anki. Where did I get it from? Could I just recall what chapter it was in, which website I found it from, where I heard it?

Suddenly, I could see the textbook page, the colour of the background, the shape of the word. Almost sobbing with relief, I realised the ordeal was over.

It had come back to me.

What a close one!

The Right Way To Anki

OK, flippancy aside – why was that a horror story, you ask? After all, my visual memory must be great.

The problem here is that I had fallen foul of the dastardly context effect, and the word was, in essence, tied very tightly to the circumstances I learnt it in. Having to dredge up the exact setting of a vocabulary item on a page to recall it isn’t very efficient in the flow of conversation in the target language.

I only had myself to blame, of course. In my haste to add the word to my Anki collection, I broke the golden rule: only include items in context. That means as few isolated words as possible, and more contextualising phrases and full sentences showing the word in use. Learning dictionary-style does not work (believe me – I learnt that the hard way!).

I’ve seen the results for myself; switching to a more phrase-based vocab drilling routine works wonders for your conversation skills. It’s the rationale behind platforms like Glossika, which you can replicate with your own DIY sentence-based vocab strategy. In short: it works.

So yes, of course I should have known better, guv’nor. But my Anki horror story was a timely reminder to get back on the right track (and we all need those now and again).

Don't hit the whisky when your language learning turns to comedy. Picture from FreeImages.com

Married and Drunk : Comedy Moments in Language Learning

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Comedy moments in language learning are pretty much inevitable.

But they make learning fun, too. Unintentional double entrendre, accidential Freudian slips and downright nonsensical gibberish are some of my favourite things about language learning. For one thing, the salience of humour means that you never forget the vocabulary associated with these most unfortunate incidents.

Comedy Cornucopia

Lucky, then, that language provides an endless cornucopia of them. And sometimes it can be the strangest pairs of words that bear an uncanny, confusing resemblance to each other despite being poles apart semantically. A recent favourite duo is ua and -ua in Swahili – flower and kill, oddly enough.

And the language keeps on giving.

Just look at this trio from my recent lessons:

-olewa to marry (a man)
-lewa to be drunk
-elewa to understand

Surely this is a joke Swahili is playing on language learners. Just imagine the comedy misunderstandings! For instance, there is a tiny difference between:

  • ameolewa – s/he is … married
  • amelewa – s/he is … drunk

And…

  • ninaelewa – I understand
  • ninaolewa – I am getting … married

That’s just asking for trouble (or laughs).

Keep It Together!

So how can we keep this sparring vocab items separate? As I’ve found with some dangerously close Greek words lately, sometimes it’s better not to. That is, to learn then in close proximity, embedded in a phrase or short story, so that they remain distinct in meaning.

For instance:

Amelewa kwa sababu ameolewa! S/he is drunk because s/he is married!
Nimelewa, lakini ninaelewa! I am drunk, but I understand!
Anaelewa, anaolewa? Does s/he understand s/he’s getting married?

These are pretty fun to learn. They’re less abstract – you can picture a silly story behind them. You can also practise them almost theatrically, reading them out with feeling. And hopefully, by doing so, you’re moving the comedy from your real-life interactions to humorous tableaux in your learning material. Phew.

It’s so much more effective that learning them as single, abstract and separate items on empty-looking vocab cards.