Lobe Chat VS tatoeba2

Get your OpenAI API key and then use it on one of the hundreds of open source frontends available, such as: https://github.com/lobehub/lobe-chat

The workbench UI sucks, what's nifty about it? It's cumbersome and slow. I would recommend using a ChatUI (huggingface ChatUI, or https://github.com/lobehub/lobe-chat) and use the API that way.

LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework. It supports one-click free deployment of your private ChatGPT/LLM web application.By building a powerful plugin ecosystem, ChatGPT not only can provide real-time news updates, but it can also assist you in easily querying documents and accessing various e-commerce data. This allows ChatGPT to play a key role in a wider range of fields. If you are interested in writing plugins, itprovide detailed component development documentation, SDKs, and template files.

Alternate take, it can also help people learn niche languages if native speakers contribute to data sets. For example, I've been using Clozemaster for the past few months as a way to work on vocabulary on some languages, and they pull their dataset from Tatoeba [1]. I was very surprised to see that my father's native language, Kabylie, which is admittedly a somewhat niche language, is one of the top languages by sentence contribution in the dataset (over 700k entries, more than French or Spanish or German). I showed him the sentences once and he confirmed that yes, they all seem like what a native speaker would say. Not all of them have translations into other languages of course, and a lot of them are slight variations on each other, but some native speakers are there contributing. It's not currently an option to use in Clozemaster -- I'm guessing the TTS isn't really there -- but I totally could see these as gaps that are easily filled.

Same with my wife's native language (Bengali). There are surprisingly few language learning resources for Bangla, even though it's the 7th most spoken language in the world. But there it is in the data set with TTS and the ability for Clozemaster to have ChatGPT "explain" what's going on in the sentence (a very useful feature for new speakers).

Anyway, I don't view AI as good or bad, just another tool that we should be intentional about when we cultivate the data sets underlying the tool.

[1] https://tatoeba.org

Maybe on tatoeba.org with filters

I use both. I make a lot of my own cards so I get to focus on the vocab I want. Generally find a word I want to learn, use https://forvo.com/ to find native audio for it, then use https://tatoeba.org/ to find sentences use that word. Once you get a bit of practise it's pretty quick to make a word note, then make 2 or 3 sentence notes for it*. However I do use some pre-made decks like this set of sentence decks for each HSK level with native audio: https://ankiweb.net/shared/byauthor/933449107

You can try tatoeba https://tatoeba.org but I don't know if it's good with arabic ...

tatoeba if anything because that has sentences so at least a modicum of context

I use Tatoeba https://tatoeba.org : it's a collection of phrases with sometimes translations and audio recordings. You could use Forvo but it's only audio recordings.

As someone else suggested, Tatoeba is also a good option. Nowadays, I use it less and less because I prefer the more didactic sentences found on online dictionaries. Nonetheless, it's still very good, especially due to the sheer quantity of sentences you can find there.

Appearances in the Tatoeba example sentence database.