tatoeba2 VS rum

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.

(Note that Rum is also a React wrapper, but you don't have to use that part of it; you can simply use it for static rendering of HTML.)

https://github.com/tonsky/rum

I love React as long as it has a thin skim of clojurescript over top. Rum is the underdog compared to reagent but is still my weapon of choice - https://github.com/tonsky/rum

Was disillusioned when I had to dive into a pure js project using it.

The real benefit, I think, is that you get the well established Clojure idioms around isolating and managing mutable state.

State is stored in a Atom, which is atomically mutated, and reactive components essentially 'subscribe' to updates upon that atom to re render.

The mutations can be handled centrally by a message queue, but really, event sourcing like that is not always needed.

We've been using re-om during the last 6 months and it has really made our lives much easier. Before open-sourcing it, we decided to extract from re-om the code that was independent of any view technology. This code is now part of reffectory and it might be used as the base for creating frameworks similar to re-om for other view technologies, like for example rum, or even for pure Clojure projects.

I've had an in-browser animated meme editor in the freezer for a few years now:

https://www.ultime.me/

The idea came when I wanted to make a simple animated meme, but found it exceedingly frustrating to caption a simple animated gif with nice text options (like outlines). Over time, it's grown to have full keyframe animation for all text and image/video clip attributes, so it is actually pretty capable short of using a desktop video editing/fx package.

That said, the UX is bad and I should feel bad :) . I made the deliberate choice up front to focus on the underlying data model and internal APIs rather than polishing the UI - as such, it is very much an engineer interface. It would be more usable with some demo videos or call-to-action helpers for new users, but really the UX just needs reworked. Especially around animation/keyframing.

On the bright side, the clean data model and content addressable assets leave the path clear to add things like collaborative multi-user meme editing, git like meme-forking(and diffing?), and so forth.

Started it about 3 years ago when I had a period of mostly free time to play. It's been idle for a long time due to starting a family and getting consulting momentum, but I'm intending to make the time this year to polish the UX to the point of general usability and experiment with promotion/monetization. Failing that, I'll probably just open source it and write a couple of blog posts about the internals.

It is more or less a static web app, with no server side function short of some optional stats collection. It's written in Clojurescript/Clojure and uses https://github.com/tonsky/rum as a React wrapper and