I was able to find this Information related to the PhrasePump algorithm/process/method :
The algorithms are relatively simple, based on spaced repetition, it is not secret, just we should write about them more and fine-tune them a bit still… We’re busy making Chat and ASR now… Almost everything on the website is in Beta still. Likely we should have had different priorities, but we will fix lots of things soon, I think.
Currently the flashcard algorithm adds words to the study pool by first taking all the ‘Marked to Learn’ (queued) words first, then falls back to suggestions (most frequent words that you don’t know). We plan to add a mode shortly (could do it today) that selects appropriately between the two categories… taking ‘Marked to Learn’ words first, as long as they are not too infrequent (still in the orange colour range). This would mean you could mark a word as ‘Marked to Learn’ when you start to recognise it in context, but it wouldn’t be jammed straight to the front of the flashcard queue, but would show as soon as it can justified to learn intensively.
PhrasePump is a language model designed to assist users with generating natural language content and providing responses to various prompts. The “Learnt” number you mentioned refers to the number of times the model has been trained on different datasets and examples. The model’s training process involves exposure to a wide range of text and language patterns to improve its understanding and generation capabilities.
Regarding the lack of a “correct” or “mistake” button when reviewing, it’s important to note that PhrasePump, as an AI language model, doesn’t have a direct feedback mechanism for users to mark correct or incorrect responses. The model generates responses based on its training and the input it receives. It doesn’t have the ability to evaluate its own responses for correctness.
Flashcards
Now that Language Reactor knows which words you know, and which you don’t, we have been able to integrate a powerful flashcard system, with some interesting features.
You can review saved words and phrases as flashcards in a ‘Cloze’ format. Item reviews are scheduled using the advanced library ‘Ebisu’.
Language Reactor can schedule extra ‘Look and Listen’ cards (enabled by default) that provide an opportunity to become more familiar with how the word is used. The cards have many example sentences with audio that you can review.
At the end of a study session, Language Reactor can suggest new words to add to your study routine. It examines your current vocabulary and identifies gaps.
PhrasePump
We added this just a few days ago. This feature finds sentences from the Tatoeba database that only contain words that have been marked as known, or that you have practiced in the flashcards at least once (familiar words, solid outline). The sentence is read (audio); the text and translation are hidden until you hover over them, or hit the ‘e’ key. The concept is simple, but powerful. Use it to improve your listening comprehension and strengthen your language knowledge. By setting a small ‘known’ vocabulary (50 words), it’s a great way to start learning a language from scratch. We will build on this feature soon and perhaps integrate it with the flashcard feature.
They merged the above “Flashcards” and “PhrasePump” at some point.
I also managed to find this on Reddit from 9ish months ago:
Sentences are read using the latest neural TTS. Items are scheduled using an advanced library, ‘Ebisu’.davidzweig
I hope some of this helps!
P.S. I will update this if I find out any more information (things just kind of “pop up” on this forum sometimes that reveal a bit more of what LR is and how it works— /worked, in the case of some posts —unfortunately).