An illustration of a robot taking a picture of a book page, to illustrate AI image analysis in the context of language learning course books.

AI Image Analysis for Language Learners : Your Course Book Assistant!

Image upload and analysis is one of the most game-changing recent additions to AI platforms. Combined with a knack for text recognition, it’s possibly one of the most revolutionary for language (and other!) learners, too.

In short, if it’s on a page, you can now get it into AI and do things with it. Because of this. image analysis has huge potential for extending, and breathing new life into printed materials, producing the very best synthesis of old and new tech.

A screenshot of AI chat in the Bing App, with an arrow showing the 'upload an image' function.

The image upload icon in the Bing app.

At its very simplest, it’s a handy summary and explanation tool. Just upload your page image, and prompt:

Analyse this page from my [LANGUAGE] course book. Summarise it in a few short bullet points I can use for revision.

Useful in its own right. But with some extra prompt magic, you can produce individually tailored support material on the fly – material that will help you to delve really deeply into those language learning texts, making it work for you.

Let’s see what it can do for starters!

Working with Vocab Lists

Vocab in Context

Take the most conventional form of book-based, language learning data. Most course books have vocabulary lists and glossaries of words in the current chapter top. But beyond the dialogues or passages they are attached to, there’s rarely any other in context use of them.

Personally, I find it really helpful to see individual items embedded in sentence examples as an aide memoire. I usually seek them out in mass sentence banks and other manual-search online resources.

Even easier with AI:

Analyse this entire page from my [LANGUAGE] course book, noting all of the vocabulary items internally. Then, create a useful, practical sentence using each and every item. The sentences should relate to real-world contexts where possible. Make sure you include every single entry – don’t leave any out. Constantly double-check that the language is natural-sounding and grammatically correct. Output them in table format listing the word, your sentence and an English translation of that sentence.

ChatGPT Plus analysing a page of Swedish vocabulary.

ChatGPT Plus analysing a page of Swedish vocabulary.

ChatGPT Plus analysing a page of Swedish vocabulary.

The trick here is the analyse the entire page instruction. LLM / AI platforms tend to take shortcuts when working with lists, sometimes skipping list items. Adding this stipulation is great at keeping it on track!

Rationalising Vocab Lists

You can also sort such material in an order that works better for you. For instance, I work best with vocab when I classify it first, be that by parts of speech, topic or otherwise. AI makes light work of it:

This is the material I’m currently studying in [LANGUAGE]. First, analyse the entire page, noting all of the vocabulary items listed. Then, rewrite that list, grouping the items by their grammatical part of speech and in alphabetical order. Where the word isn’t in its simple dictionary form, provide that too. Include any entries you couldn’t categorise at the end. Double-check throughout the process that a) you haven’t left out any items, and b) that your categorisation of each item is correct. If you detect errors, start again.

ChatGPT Plus analysing a page of Swahili vocabulary to create model sentences for context.

Microsoft Bing analysing a page of Swahili vocabulary to create model sentences for context.

Microsoft Bing analysing a page of Swahili vocabulary to create model sentences for context.

You can also combine this with the AI Anki decks trick to really digitise those paper lists.

AI Translation Exercises

Now, how about some methods for actively working with vocab? Personally, I’m a  big fan of the translation method. Now I know this isn’t everybody’s cup of tea (it’s one thing that turns some off Duo) but if it works for you, you can produce a raft of exercises in seconds:

Here’s a page from my [LANGUAGE] course book. Analyse the entire page, noting all vocabulary items internally. Then, create a set of 20 practical, useful sentences using this vocabulary in context. Make them relevant to real-world, current affairs contexts where possible. Present half of these sentences in English and half in the target language for me to translate for practice. Add a key for any extra words you used that aren’t included in the list, as support. Add the translations of all sentences at the end as an answer key.

ChatGPT Plus analysing a page of Hebrew vocabulary to create translation exercises.

Bing analysing a page of Hebrew vocabulary to create translation exercises.

AI Exercises

You can also extend course book pages with worksheet-style practice exercises. Here’s a prompt that should produce a diverse set of activities in an output perfect for copy-pasting into a note, or PDF, to pore through on the move:

Here’s a page from my [LANGUAGE] course book. First, analyse the entire page, noting all vocabulary items, sentence frames and grammatical structures internally. Then, create a set of worksheet-style activities for me to practise using that material. Vary the activity types, including exercises like gap-fill / cloze, matching and translation. Add an answer key to all exercises at the end.

You might even like to try a more dynamic approach with this paper-to-exercise technique. The following prompt should set up a turn-based game (my favourite kind!) that recycles chapter vocab in live conversation:

Here’s a page from my [LANGUAGE] course book. First, analyse the entire page, noting all vocabulary items, sentence frames and grammatical structures internally. Then, let’s have a conversational, turn-based activity using the material. Present me, turn by turn, with a sentence in the target language using the vocabulary. I have to provide the missing word. Don’t give me any clues or model answers until I’ve made my response each turn!

Admittedly, turn-based language gaming worked better in Bing before recent updates forced it to focus solely on being a fancy search engine. If it does stray, just remind it that you’re playing a vocabulary game!

Choose Your Platform!

All these prompts have one thing in common: they play to the power of AI to take information and display it in different ways. That’s gold for learners, as the human brain learns best when presented with material in multiple, not monotonous formats. For one thing, this helps beat the context trap of repetitious learning. Recycling vocab in as many ways as possible is key to remembering it in unlimited, unpredictable future situations.

Tech-wise, you’ll see that I’ve used Bing in most of these examples. It’s an excellent place to start if you’re new to AI yourself, not leave because it’s accessible, user-friendly and completely free! Additionally, the Bing app allows you to snap a book page easily with your phone camera. And Bing’s internet connectivity out-of-the-box gives it more breadth and up-to-the-minute relevance when creating your materials.

That said, you can use these prompts with any platform that allows image uploads. ChatGPT, for instance, has the added bonus of multiple uploads – ie., pages – so you can process a larger chunk of chapter in one go.

Whichever platform you choose, the most important piece of advice remains the same: don’t just stick with these potted prompts. Instead, experiment constantly to find what works for you, building up your own prompt library to copy-paste. AI can, and should, be an incredibly personalised experience. Good luck making it your own!

Have you used AI image analysis in your learning? Let us know your own tips and tricks in the comments!

A neon lock with a glowing owl motif, reminiscent of Duolingo

Green Handcuffs – Duolingo and the Walled Garden of Welsh

What happens when you pour your heart into learning a language on service X, then service X mothballs the resource? It’s a situation many Welsh learners found themselves in this week, as Duolingo announced an indefinite pause to further development of its Welsh course

The immediate question is where do these learners go? There are other Welsh courses, of course, like the excellent materials at LearnWelsh.cymru. But the Duolingo announcement begs a further question: how do these learners take their progress with them? Progress data, the result of weeks, months, years of hard learning work, is locked into Duolingo’s proprietary system.

Now, you can already request your personal data from Duolingo. The Duolingo Data Vault is definitely a welcome addition in data transparency, allowing you to access personal data records the site holds on you. But crucially, language-based progress is missing. There’s nothing to say what you’ve studied, item for item. That means there’s no way to pick up where you left off elsewhere, with a true record of where you are.

No wonder users feel a bit stuck inside a course consigned to gather dust.

Duolingo Data Vault files, unzipped.

Duolingo Data Vault files, unzipped.

Interoperability and Language Learning

It all sounded very familiar after tech activist Cory Doctorow’s recent discussion of open internet practices in The Internet Con. This quick read (well worth a look for anyone invested in apps and services – ie., all of us) bemoans the walled gardens that Big Tech firms have become. They’re great places to be, when they work for/with us. But when they suddenly change at the whim of execs, the lack of interoperability – standards or conventions that allow you to use data from one service on another – leaves us stranded and at their mercy.

Don’t like a recent update? Tough, you’ll just have to stay, or start from scratch on another service.

It’s not for a lack of standards. Language learning platforms have long used industry-wide formats to allow interoperability. Take the plain old CSV (comma-separated value) spec. You’ve long been able export your Anki deck in this plain text format, and import it into another service like Quizlet or Educandy.

Not to be too hard on Duolingo (we love it really), there’s a clear counterargument to allowing full export of full vocabulary and phrase lists, as with Anki and Quizlet decks. The full complement of learning text is the result of lots of hard work on company time; it’s a copyrighted resource just as a course book is.

Opening the Duolingo Garden Wall

But when it’s tied to user progress, it becomes something else; a personal record of items we’ve committed to memory. Other programs export this as a matter of course. Anki, for example, will export frequency and accuracy data alongside vocabulary item entries. It shouldn’t be too hard to export this subset of Duolingo material in a universal format that could be loaded without fuss into an app like Anki.

Duolingo might well fret about losing users if the effort costs of leaving were reduced like this. No big tech corp is under obligation to organise its data in a way that helps users migrate. But you can imagine a world of interoperable ‘take your data with you’ standards to have a double-edged benefit.

First off, it could incentivise Duolingo to strive for constant betterment, to be additive rather than reductive in its updates. The race would be to the top, rather than the bottom, to maintain a winning app for all. There’d be an open door, but nobody would feel the need to defect (or the resentment that they can’t).

Likewise, there’s a general benefit even if the resources simply aren’t there for a Welsh continuation on Duo. Course migration standards would allow smaller companies to step in and fill in the gaps. Duo could focus on its core projects and nobody would feel linguistically homeless. And, of course, if Duolingo offered the missing service again in future, it would be easy to move right back.

Perhaps it’s time to make a request of our beloved owl in the name of an open web for linguists.  As the trailblazer that you are, could you be a leader in open standards, prising ajar the door to these walled gardens?

A neon journal written by a neon hand. Journal writing for foreign language practice.

Journal Writing for Language Learners – With Added AI!

Writing is key to recycling language learning material. I’ve always championed the boost journal writing offers to language learners as a regular writing habit. But once you’ve made the decision to journal, pen poised above paper, the question often lingers: what on earth to write about?

When I journal in a foreign language, my first instinct is to jot down what happened in my week. That’s a great start. But if you do that all the time, you’ll find the vocab repetitive. Unless you have a celebrity lifestyle, you’ll more often than not be talking about the same things (mainly lots of coffee and work). And it’s always in the same narrative style, too – lots of past tense and not much else.

Instead, it’s handy to get some prompting for your journal exploits. Ideally, a language teacher can do that for you as a homework task – but with AI platforms ever more up to the task of playing teach, it’s as easy as pie to get some pottted prompts for diary writing when learning independently.

Here’s a sample prompt for prompts you can try on Bing, ChatGPT and other platforms:

I use journal writing in French to practise my writing skills in the language and recycle vocabulary and grammar that I’ve been learning. My level is around A2 (upper beginner). I’d like a list of twenty prompts for journal entries on different everyday topics to encourage more variety in my writing. Please provide the prompts in both the target language and English translation, and a comma-separated list of five key terms I might want to work into my piece. Thanks!

After the main request, I’ve also added a request for some helpful vocab hints in here. You could even ask for grammar tips here. What kinds of structures would be useful to revise for this topic, for instance? Reflexive verbs for daily routine, perhaps? In any case, build in as much help and support into the prompt as you need.

After that, it’s just a case of building journal writing into your regular habits. Let your prompt list guide the way, and watch your written fluency take off!

 

Journal prompts, Microsoft Bing-style

Journal prompts, Microsoft Bing-style

 

Journal prompts, ChatGPT-style

Journal prompts, ChatGPT-style

 

A digital brain, complete with memory - ChatGPT take note!

Your ChatGPT Teacher – With Persistent Memory!

The interactivity of AI models like ChatGPT and Bing make them the perfect medium for exchange-based language learning. But for one thing: their lack of persistent memory.

The standard setup, to now, has been for a ‘black box’ style conversation on AI platforms. You initiate a session with your instructions, you chat, and it’s over. You can revisit the conversation in your history, but as far as AI is concerned, it’s lost in the mists of time.

It’s something that throws a mini spanner in the works of using AI for language (or any kind of) learning. Teaching and learning are cumulative; human teachers keep records of what their students have studied, and build on previous progress.

DIY ChatGPT Memory

There seems to be little movement in the direction of AI with memory amongst the big platforms, although OpenAI’s recent announcement of memory storage for developer use might lead to third-party applications that ‘remember’. But in the meantime, users within the AI community, ever adept at finding workarounds and pushing the tech, have begun formulating their interim alternatives.

One clever way around it I recently spotted takes advantage of two elements of ChatGPT Plus: custom instructions and file upload/analysis. In a nutshell, an external text file serves as ChatGPT’s ‘memory’, storing summarised past conversations between student and AI teacher. We let ChatGPT know in the custom instructions that we’ll be uploading a history of our previous conversations at the beginning of a learning session. We also specify that it analyse this file in order to pick up where we left off. At the end of each session, we prompt it to add a round-up of the present conversation to that summary, and give the file back to us for safekeeping.

Custom Instructions

Here’s how I’ve worked the persistent memory trick into my own custom instructions:

If I upload a file ‘memory.txt’, this will be a summary of our previous conversations with you as my language teacher; you will use this to pick up where we left off and continue teaching me. When prompted by me at the end of our session, update the file with a summary of the present conversation and provide me with a link to download it for safekeeping. This summary should include a condensed glossary of any foreign language terms we’ve covered.

Wording it as such makes memory mode optional; ‘teacher remembering’ only kicks in if you upload memory.txt. This way, you can otherwise continue using regular, non-teach ChatGPT without any fuss.

The only thing that remains is to create a blank text file called memory.txt to start it all off. Remember to start a new chat before giving it a whirl too, so your new custom instructions take. As you use the technique in your everyday learning chats, you’ll see memory.txt blossom with summary detail. As an offline record of your learning, it even becomes a useful resource in its own right apart from ChatGPT.

Just make sure you keep it safe – that’s your teacher’s brain you have right there!

A page of conversation summaries - my ChatGPT 'memory' file in action.

My ChatGPT ‘memory’ file in action.

Let us know your experiences if you give this technique a go! And if you’re stuck for lesson ideas, why not check out my book, AI for Language Learners?

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

From ChatGPT to Anki : Instant Potted Vocab Decks!

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!

A neon globe surrounded by books - the AI future is here.

AI for Language Teachers – the Essential Bookshelf

Clearly, emerging Artificial Intelligence platforms have colossal potential to transform education. Indeed, they are already doing so, proving to innovative disruptors that teachers and students are still grappling to understand. Given the pace of change, where can educators find solid training on practical, classroom-ready AI techniques?

Thankfully, a raft of publications has sprung up with teaching practice at its core. Many of the best titles are from author-educators who have self-published from personal experience. Self-publishing, of course, is a quick, reactive way to get books out there, so it’s unsurprising that there are so many gems that don’t originate with big publishing houses.

It must be said that the majority of current titles are US-centric – again, unsurprising, given that largely US-based AI companies have generally release the leading-edge innovations in the US first. That said, the following picks are all notable for a universal approach, with a generality that should make them useful whatever the setting.

Without further ado, here is the language teacher’s essential AI bookshelf!

The Essential AI Bookshelf

THE AI CLASSROOM

Amazon product image - the AI Classroom The AI Classroom With five-star reviews almost across the board, the authors of The AI Classroom were quick off the mark; the book has become an early leader for practical teaching ideas utilising artificial intelligence. It contains a broad range of ready-to-use prompts, perhaps the most reliable hallmark of the best AI guides for teachers and learners on the market at the moment. What is particularly insightful is the discussion of school policy as an important consideration – an indispensable consideration, particularly for department heads and administrators.

THE AI INFUSED CLASSROOM

Amazon product image - The AI-Infused Classroom

The AI Infused Classroom by Holly Clark is a practical and visionary guide for educators who want to use emerging LLM tools to transform teaching and learning. Clark, a seasoned teacher and edtech expert, is author of The Infused Classroom series, which explores how to amplify student voices with technology. This book builds on those ideas, demonstrating how to leverage AI as a catalyst for innovation, creativity, and deep learning. The book adopts a refreshingly student-centred approach to classroom AI, and is a source of invaluable best practice for teachers of languages and otherwise.

AI FOR LEARNING

Amazon product image - AI for Learning Part of the AI for Everything series, AI for Learning is a book that explores how the medium can, and should, positively impact human learning in various contexts. The authors offer a clear and engaging introduction to the concepts, applications, and implications of AI for learning. The book serves as both an explanatory introduction and practical guide, covering topics from core concepts of AI to how it can develop critical thinking and digital citizenship skills, and prepare learners for the future of work and learning. The book also addresses the ethical and social issues that arise from using AI for learning, such as privacy, bias, accountability, and trust.

80 WAYS TO USE CHATGPT IN THE CLASSROOM

Amazon product image - 80 Ways to Use ChatGPT in the Classroom You can’t beat a good old ‘X ways to do…’ guidebook, and this volume boasts an impressive 80 of them! 80 Ways to Use ChatGPT in the classroom gets straight down to brass tacks with organised, practical prompt examples. A particular strength of this book is a welcome nod to balance throughout, with ample discussion of the issues as well as the well-fanfared benefits. As one of the earliest of these guides to appear, the focus is ChatGPT. However, as with all of these books, the knowledge is easily transferrable to other platforms.

AI FOR LANGUAGE LEARNERS

The cover of AI for Language Learners by Rich West-Soley As the only title to focus specifically on languages – and the one I penned myself – I could hardly leave out AI for Language Learners! Written to be accessible to individual learners as well as classroom teachers, it’s packed full of practical prompt ideas. These cover language reference, practice activities and resource creation. What’s more, the book includes access to a website with copy-paste prompt for those with the paperback. That is definitely a boon to those those typing fingers! The book was a labour of love over summer 2023, and is the product some very enthusiastic experimentation to support my own polyglot learning. I hope you have as much fun trying the prompts as I did writing them.

Brave New World

As AI comes to land firmly in classrooms over the coming months, we’ll undoubtedly be seeing title after title appear. Are there any favourite titles of yours that we’ve missed? Let us know in the comments!

Fun With Texts : Travel Edition

I came across an ancient video this week that took me right back. The video in question  was from a series of video diary entries I made on a trip to Austria in 2004. In this particular segment, I was proudly showing off the stash of free leaflets I’d cached from Klagenfurt town hall – treasures of authentic texts to take home for my teaching materials box.

German-language texts from Austria - leaflets about the EU in 2004

Austrian leaflets about the EU (2004)

A still of Rich West-Soley showing some leaflets from Austria in a video from 2004

Showing off my Austrian leaflet haul in 2004 in a video shot on a phone just a little more sophisticated than a toaster, judging from the quality

Fast forward 19 years, and I’m approaching the end of a wonderful, extended trip around Greece. It’s been a holiday full of wonderful sights, amazing food, and of course, lots of language practice. Incidentally, Greeks must be amongst the most encouraging people on the planet when you try to speak their language.

But what links this trip with that early noughties vid is that continued fascination with curating authentic texts. It’s a polyglot obsession that’s lasted well beyond my classroom teaching days; there’s no longer any teaching materials box to fill, but I’m still on the hunt.

Hunting Texts : Then and Now

The format has changed, naturally. It’s less about free brochures and leaflets now. Alas, my EasyJet baggage allowance won’t quite stretch to that any more. This time, it’s digital – and I’ve been going to town collecting text samples for my virtual Greek learning box.

Of course, Greece has a tradition of texts that stretches back a little further than many fellow European countries. It’s been particularly fun looking out for inscriptions on the many ancient monuments, and spotting similarities and differences between the ancient and modern languages.

A stone tablet in an Ancient Greek ruin, with a partial inscription in Greek

Authentic Texts in stone!

An Ancient Greek artefact


But it’s the modern examples that really hit the spot – the more everyday and prosaic the better. From bags of crisps to public notices, every bit of writing is a potential new word learnt, and an extra peep into the target language culture. It’s addictive.

A notice to save water on a Greek ship

Save water, and save those words (in Anki!)

A washing machine control panel with Greek labelling

It’ll all come out in the wash

As far as I’m concerned, there’s never any going over-the-top when collecting digital texts. Knock yourself out with as much target language as you can! The criteria for what makes an authentic text are wildly broad – it can be the odd couple of words, a text-dense poster or an entire book. It all has worth to us as learners, no matter how long.

The only rule I try to stick to is one of practical use; I aim to try and use the images somewhere, be it a blog post (like this one on German political posters) or by scraping the language for Anki flashcard entries.

A bag of crisps with Greek labelling

Language snacks

Are you a curator of authentic texts in your target language? How do you collect them, and what do you do with them afterwards? Let us know in the comments!

Books for Free – Polyglot Point-Stashing

Let’s face it, language learning books can be expensive. Not that you have to buy expensive courses – there are plenty of free alternatives – but they are nice, aren’t they?

If you’re strapped for the books cash, though, there are ways to get those treasures for free.

If you’re using Microsoft Bing for AI fun or simply for searching, you might not have noticed Microsoft rewards. It’s a points-based system that gives you credit for everyday online tasks like searching, clicking links and reading news.

The points stack up quite quickly – and you can exchange them for Amazon vouchers!

It’s one of many points-for-prizes reward schemes online, including the long-running Swagbucks, which features online tasks like surveys, and the stalwart of all survey-for-points sites, YouGov.

If you work them all, you’ll hopefully find your voucher stash increasing quickly.

And we know what you’re going to spend it on! Bring on the books.

AI for Language Learners by Rich West-Soley; ChatGPT, Bing and more for your languages study

AI for Language Learners – Book Now Available!

It was a labour of love that happily took up most of my summer, and it’s finally out! I’m very chuffed to announce that my book AI for Language Learners is available on all Amazon stores.

 

The book is the product of months of tweaking, prodding and experimenting with emerging AI chat platforms. If you’re a Polyglossic regular, you’ll have seen some of those nascent techniques appear on the blog as I’ve developed and used them in my own learning. The blog has been a bedding ground for those first book ideas, and I’m thankful to everyone who has followed along with my own AI journey.

What we’ve come to call AI are, strictly speaking, actually large language models (LLMs). These LLMs arise from billions of words of training material – truly staggering amounts of data. The resulting super-text machines are perfect matches for subjects that benefit from a creative flair with words, and as language learners, wordplay is our currency. The book contains over 50 rich prompts for getting the absolute most out of AI’s impressive capacity for it.

The process has been huge fun. Of course, that’s thanks largely to the often unintentional humour our non-sentient friends ChatGPT, Bing and others. I try to get this across in the book, which has its fair share of lighthearted moments.

I hope you have as many smiles trying the recipes out as I did putting them together!

AI for Language Learners is available on Amazon Kindle (UK £2.99, US $2.99) or in paperback (UK £7.99, US $7.99). Even better: if you’re a Kindle Unlimited member, you can download and read it as part of your subscription.

An AI robot helper - just like the kind you can achieve for your language learning with ChatGPT's Custom Instructions.

Instant AI Language Learning : ChatGPT Custom Instructions

If AI is already an important parcel of your language learning routine, you won’t want to miss this.

OpenAI have added a Custom Instructions feature to the ChatGPT platform. Custom Instructions is a place for you to add important details you always want to mention before your chat session starts.

In practical terms, it can contain all of the regular priming that you usually add manually at the beginning of a session, like “you are a language teacher“, “you will speak in simple French around level A1” and so on. Automating this means you can open up your ChatGPT console and have your language assistant ready to go from the start, saving heaps of time. In a sense, it adds what has been sorely missing from AI so far: persistent memory of its users.

Even better – the feature is available to both free and premium users of ChatGPT, so you can start using it straight away!

Where Is It?

On the web app, you’ll find the new custom instructions settings by clicking your profile link at the bottom-right of the screen. On the mobile app, you’ll find it in Settings.

ChatGPT's custom instructions setting. Add prompts to get your AI ready from the get-go.

ChatGPT’s custom instructions setting in the web app.

The Settings option in the ChatGPT mobile app.

Settings in the ChatGPT mobile app.

Priming Your AI Assistant

Once open, you have two fields – an about you, and a response style option. The about you section tells ChatGPT the kind of user you are. This can include academic interests, favourite learning styles, talents and have and challenges you face – anything that a good learning assistant should know. For example:

I study several languages and am an active member of the polyglot community. My current projects are Greek, Icelandic and Polish. Indo-European linguistics is especially interesting to me. I love seeing the different links between all the different languages I learn.  I am a visual learner and love lists and tables, but I have concentration issues with long blocks of dense text. Apart from languages, I love music and travel, and learning about the world. Environmental activism is another of my passions.

In the response style field, you tell ChatGPT what kind of assistant you want it to be. For instance:

You are my personal language learning assistant, so all responses should be in both the target language I specify for a given session, and English. Any non-English you use should be aimed at a learner of around A2 on the CEFR scale, simple and clear. You will correct any errors I make in the target language, and give associated grammatical details to help me learn from my mistakes. Where there is an interesting cultural link to the target language country, you will include it in your response. You will always be supporting and encouraging, and nurture my love in language learning.

Try these for size, and you’ll notice a not-unsubtle change in the way ChatGPT responds to you. It uses those custom fields to colour everything that it relays back to you. And they’re there every time you turn it on – until you’re ready to change your assistant’s personality! You’ve created a robot teacher who just gets you.

Custom instructions are a fantastic way to get ChatGPT straight into the role you want as soon as you turn it on. Have you used them yet? Let us know about your experiences in the comments!