Do I need an account to translate?
Preview translation can work without creating learning records. An account is required when you want saved vocabulary, history, repetition schedules, quizzes, learning loops, and progress analytics.
FAQs
A detailed guide to how translation, vocabulary, repetition, repair loops, quizzes, games, reminders, eye tracking, EEG-style signals, privacy, and troubleshooting fit together.
8 questions
How the translation page, preview flow, language choices, and saved results work.
Preview translation can work without creating learning records. An account is required when you want saved vocabulary, history, repetition schedules, quizzes, learning loops, and progress analytics.
Preview translation is temporary. Saved translation creates a vocabulary item and connects it to the learning system so the word can return later in reviews and quizzes.
No. The website UI language controls menus and explanations. The translation box source and target languages follow what the learner chooses for the text they are translating.
Detect language lets the translation provider infer the source language from the text. If the learner already knows the source language, choosing it manually can make the request clearer.
Single words can be saved quickly into vocabulary and repetition. Longer phrases and paragraphs can still be translated, but they are better treated as preview or context unless the learner chooses to save them.
The app can show temporary previews while you type. Those previews do not become learning material unless saving is enabled or the learner clicks a save action.
Yes, when browser speech support or uploaded pronunciation audio is available. Audio helps pronunciation, listening, and future speaking practice.
Short single-word translations can request visual preview support. The image cue is meant to help memory, not replace the text translation.
7 questions
What gets stored when a learner decides a translation is worth remembering.
The app creates or updates a vocabulary item, saves language and context data, creates a repetition schedule when needed, and can attach the word to the saved-translations learning loop.
A saved word can include source text, translated text, language pair, context sentence, example sentence, pronunciation guide, visual prompt, metadata, mastery score, and difficulty level.
The backend should prefer reusing or updating an existing vocabulary item for the same learner when the word and language pair match, so the learning history stays connected.
Mastery estimates how strongly the learner remembers the word. It changes after quiz answers, reviews, passive practice, and learning signals.
Difficulty helps the system decide which words need more pressure, richer practice, or earlier review. Wrong answers, slow recall, low confidence, pronunciation struggle, and signal pressure can raise difficulty.
Yes. Vocabulary detail supports enrichment such as example sentences, memory hints, pronunciation guides, and visual prompts.
A word is easier to remember when it is connected to the page, sentence, lesson, or situation where the learner first saw it. Context-based review brings back that meaning.
8 questions
How saved words come back for review instead of disappearing after translation.
Smart repetition schedules reviews after a delay, then moves words forward or brings them back sooner based on answer quality, confidence, speed, difficulty, and recent review history.
New saved words are grouped by saved day and can return across days 7, 8, 9, and 10. This lets the app compare which timing works best for retention.
No. Early reviews can use the Day 7 to Day 10 window, but later reviews move through longer intervals or shorter recovery paths depending on performance.
A strong correct answer can move the word to a longer interval. A slow or low-confidence correct answer may still count as fragile and return sooner.
A wrong answer increases lapse pressure and usually brings the word back sooner. The repair loop also decides which kind of practice should happen next.
Some schedules can be held on a fixed Day 7 baseline. This gives analytics a comparison point against adaptive review timing.
Yes. As the learner answers more review quizzes, analytics can compare results across delay days and recommend timing that works better for that learner or word context.
No. Repetition is treated as a behavioral learning proxy. It should not be presented as measuring neuron birth, death, survival, or medical biology.
8 questions
What happens after a word is weak, wrong, slow, guessed, or confused with another word.
The repair loop is the decision after a quiz answer that says what kind of help the word needs next, instead of only scheduling the same quiz again.
It can track meaning, spelling, pronunciation, listening, grammar or context, and similar-word confusion.
After answering, the learner can mark the answer as Easy, Unsure, Guessed, or Forgot. This separates true recall from lucky correct answers.
A correct guessed answer is weaker than an easy correct answer. The loop can keep guessed or unsure words closer for another review.
Fast correct answers are treated as stronger memory. Slow correct answers are treated as fragile memory. Wrong answers need reinforcement.
It can recommend meaning retry, hint then retry, typed recall, similar-word comparison, pronunciation support, listening practice, sentence-context retry, light recovery review, or quick recall.
When a learner confuses related words, the app can create a comparison practice instead of testing the word alone again.
Yes. Repeated misses, low confidence, slow recall, signal pressure, pronunciation trouble, and abstract-word hints can increase difficulty.
7 questions
How active recall checks memory and feeds the learning loop.
Quizzes force active recall. Active recall gives stronger evidence about memory than simply seeing the translation again.
A quiz answer can submit the typed answer, response time, confidence label, mistake type, practice mode, review delay, and learning context.
Random review samples previously learned words, sometimes by a target delay day, so analytics can discover when the learner remembers best.
Yes. Review quizzes can target days 7, 8, 9, or 10 when that evidence is useful for the learning-window experiment.
A micro-review briefly shows the word, translation, and context before active recall. It helps separate recognition from later recall.
Yes. The loop can suggest typed recall, quick recall, sentence-context retry, similar-word comparison, listening, or pronunciation-oriented practice.
If the answer was slow, guessed, or low-confidence, it may be correct but fragile. Fragile words should not be treated like mastered words.
7 questions
How related words are grouped together for repeated practice and playable review.
A learning loop is a group of saved words that can be reviewed together through quizzes, videos, reminders, and game-style practice.
Related words are easier to practice as a set. Grouping also helps avoid scattered one-by-one study that loses context.
Yes. Loop words can be placed into simple review games where learners see, hear, match, collect, or retry vocabulary in a more active format.
Games give repeated exposure without making every review feel like a form. They are still connected to memory strength, difficulty, and review outcomes.
No. Games are practice surfaces. Quizzes remain important for measuring recall and updating repetition schedules.
Yes. Game practice can record light review, correct or missed answers, response timing, and memory strength updates when connected to the backend.
Yes. A loop can be rendered into learning video material with words, translations, pronunciation, and examples when the feature is available.
7 questions
How the app summarizes the current state of each saved word.
The memory profile is a learner-facing summary of loop state, due state, review pressure, meaning memory, speaking memory, memory strength, context, interference, and next action.
Memory strength is a decay-style score that starts from mastery and subtracts pressure for time, lapses, and difficulty.
No. It is a product estimate based on learning behavior. It should be treated as a helpful review signal, not a biological measurement.
If a word has not been reviewed recently, the decay estimate can reduce its displayed memory strength so the system knows it may need review.
Review pressure combines weak mastery, due status, difficulty, lapses, recent reviews, and optional learning signals to estimate whether a word should come back sooner.
Next action is the product recommendation for the word, such as review now, normal review, bring back soon, pronunciation support, meaning retry, or long-term review.
Interference means the learner may be mixing the word with another word. The app can recommend similar-word comparison to reduce confusion.
6 questions
How the app tries to bring learners back at useful times.
The daily automation can create quiz-ready notifications, due-review reminders, loop prompts, inactive-return reminders, and missed-review retries.
The word does not simply disappear. The system can create missed-review retries or move the word into a recovery path.
Yes. Quiz-ready reminders can link to a generated quiz so the learner returns directly to the right review set.
Yes, if notification preferences and delivery channels are configured. In-app, email, and push can all be part of the return path.
They are meant to follow due reviews, learning windows, missed-review recovery, and user notification preferences rather than random schedules.
They should be controlled by preferences and sensible scheduling. The goal is to support consistency, not pressure the learner constantly.
7 questions
How gaze-based word selection works without changing the normal translation box.
Eye tracking can select a gaze-targeted word, but translation depends on reader or extension settings such as long gaze, voice confirmation, pointer shortcut, or rapid movement mode.
No. A browser extension cannot access native eye-tracker hardware directly. A local desktop bridge reads device data and forwards safe viewport coordinates.
The gaze bridge is a local helper that streams gaze samples to the browser extension through WebSocket or local HTTP fallback.
The extension can identify the word under the gaze point, highlight it, request a translation preview, and optionally save it to vocabulary if the learner is connected.
Quality thresholds, calibration data, confidence, drift, jitter, dwell time, and optional voice confirmation can reduce accidental selections.
Only with account connection and consent. Gaze analytics should be opt-in and handled as learning interaction data.
Yes. Gaze difficulty, long fixation, selected words, and saved translations can become learning context that influences review pressure.
7 questions
How optional attention signals can support learning without becoming medical claims.
No. Muse-style or Emotiv-style signals are treated as non-clinical learning interaction signals. They are not diagnosis, treatment, or clinical assessment.
They can support focus display, fatigue-aware pacing, review pressure, UI adaptation, and learning-signal summaries when quality and consent are present.
No. Quiz correctness and normal review history remain stronger evidence. EEG-style signals can only support the learning context.
Baseline quality helps the app decide whether a signal is usable. Poor contact, artifacts, or rejected samples should not change learning schedules.
No. Rejected events can be stored for audit/history, but they should not adjust review timing or word difficulty.
Yes, in optional workflows. A gaze-selected word can be paired with attention or fatigue context, but only as conservative learning evidence.
No. Any neurogenesis wording must stay research-informed and conservative. The app estimates retention pressure from behavior, not biological neuron activity.
7 questions
What is saved, what is temporary, and what needs consent.
Typing previews are temporary unless the learner chooses to save or a single-word auto-save setting is enabled.
Saved learning features need vocabulary text, translation, language pair, review history, quiz answers, schedules, and optional context.
No. They are optional integrations. The core translation, vocabulary, quiz, and repetition loop can work without them.
Yes. Eye tracking and EEG-style signals are add-ons, not requirements for language learning.
Gaze analytics, EEG-style events, demographic research variables, health-like context, and similar optional signals should require clear consent.
Vocabulary and quiz exports are supported in the project. Additional privacy exports can be added for gaze or EEG sessions when those features are enabled.
Retention and purge operations exist for sensitive interaction data such as gaze and EEG-style events. Account-level deletion should be handled carefully in production.
7 questions
Practical answers for login, saving, limits, and common failures.
Saving connects the word to a user account, vocabulary list, repetition schedule, quiz history, and learning loop. Without login, the app cannot safely attach that history.
Log in again, check that Save is enabled, confirm the backend is running, and try a short single-word translation before testing longer text.
The app cannot access saved learning features without a valid token. Logging in refreshes the session for translation save, vocabulary, quizzes, and loops.
Some features, such as richer visual previews or advanced integrations, may be restricted by subscription plan or production readiness.
Browser speech support varies. Uploaded pronunciation audio can replace browser speech when available, but the user may still need browser audio permission.
Image preview depends on a supported provider, entitlement, and safe generation flow. If it is not available, text translation still works.
Browser extensions are sandboxed. Native hardware access for Tobii or similar devices must run in a separate signed desktop helper.