Glossary
Key terms used in Owlevia, Mandarin learning, and the science of memory.
Mandarin & Chinese
The language, its writing system, and the testing landscape.
- Hanzi汉字hànzì
- Chinese characters — the logographic writing system used to write Mandarin (and other Sinitic languages). Each character typically represents one syllable and carries meaning.
- Pinyin拼音pīnyīn
- The official romanization system for Mandarin Chinese. It uses Latin letters plus tone marks (ā á ǎ à) to represent sounds. Pinyin is the bridge between the spoken language and the Latin alphabet — useful for pronunciation but not used in everyday Chinese writing.
- Tones声调shēngdiào
- Mandarin is a tonal language with 4 tones plus a neutral tone. The same syllable changes meaning entirely depending on the tone. For example: mā (mother), má (hemp), mǎ (horse), mà (scold). Getting tones right is essential for being understood.
- Simplified Chinese简体中文jiǎntǐ zhōngwén
- The standardized character set used in mainland China, introduced in the 1950s to improve literacy. Characters were simplified by reducing stroke count. Owlevia uses Simplified Chinese. Traditional Chinese is used in Taiwan, Hong Kong, and Macau.
- HSK汉语水平考试Hànyǔ Shuǐpíng Kǎoshì
- China's official standardized Mandarin proficiency test, equivalent to language certificates like DELF (French) or JLPT (Japanese). The older standard had 6 levels; the 2021 reform expanded to 9 levels. Owlevia currently focuses on HSK 1 vocabulary (~150 words — the most common everyday words).
- HSK 1
- The entry level of the HSK test. Covers approximately 150 high-frequency words used in basic daily communication: greetings, numbers, family, time, food, and directions. HSK 1 words appear constantly in natural speech, making them the highest-ROI vocabulary to master first.
- HSK 2
- Intermediate-beginner level. Expands vocabulary to ~300 words. Introduces more complex sentence structures for simple conversational exchanges. Owlevia plans to add HSK 2 content — join the waitlist in the footer to be notified.
Memory & Learning Science
The research behind how we learn and retain new information.
- Forgetting Curve
- Proposed by Hermann Ebbinghaus in 1885. Without review, memory of new information decays exponentially — roughly 50% is forgotten within an hour, and up to 80% within a day. The forgetting curve is the core problem that Spaced Repetition solves.
- Spaced Repetition
- A learning technique that schedules reviews at increasing time intervals. Instead of reviewing everything daily, you review each item just before you would naturally forget it. This exploits the "spacing effect": longer gaps between reviews produce stronger, more durable memories.
- Active Recall
- The practice of retrieving information from memory, rather than passively re-reading it. Seeing a Hanzi character and asking "what does this mean?" is active recall. Research consistently shows active recall produces 2–3× better retention than passive review.
- Self-Assessment
- Rating your own confidence after recalling an answer. In Owlevia, the 1–5 scale (1 = know it well, 5 = completely new) is self-assessment. Studies show that honest self-assessment is surprisingly accurate and drives better SRS scheduling than automated testing.
- Self-Assessment Vocabulary Accumulation
- A vocabulary-building method where learners rate their own familiarity with words as they encounter them in context (reading or listening). Over many exposures, the accumulation of self-assessed words builds a personalized, spaced-repetition-powered vocabulary bank.
- Comprehensible Input (i+1)
- Linguist Stephen Krashen's theory: language is acquired most naturally when the input (reading or listening) is slightly above your current level — understood with some effort. The "+1" means just one step beyond what you already know. Reading real Mandarin sentences (rather than isolated drills) provides comprehensible input.
- Interleaving
- Mixing different topics or types of content within a study session, rather than blocking all of one topic together. Interleaving feels harder in the moment but produces stronger long-term retention. Owlevia's multi-topic structure supports natural interleaving.
How Owlevia Works
The algorithms and mechanics behind the app.
- SRS
- Spaced Repetition System — software that implements spaced repetition automatically. An SRS tracks your knowledge rating for each item and calculates when to show it again. Owlevia is an SRS for Mandarin vocabulary, integrated directly into sentence reading.
- SM-2 Algorithm
- SuperMemo 2 — the spaced repetition algorithm developed by Piotr Woźniak in 1987 and used by Anki, Owlevia, and many other tools. SM-2 tracks three values per word: the review interval (days until next review), repetition count, and easiness factor. Each rating you give updates all three.
- Knowledge Rating (1–5)
- Owlevia's self-assessment scale for rating each word after revealing its meaning. 1 = "I know this well" (green), 5 = "This is new to me" (red). The rating feeds directly into SM-2 to schedule the next review. Be honest — the algorithm works best with accurate self-assessment.
- Easiness Factor (EF)
- An SM-2 parameter (starting at 2.5, minimum 1.3) that represents how easy a word is to remember. High EF = longer intervals between reviews. Low EF = more frequent reviews. Each rating adjusts the EF: high scores push it up, low scores pull it down.
- Review Interval
- The number of days until a word is scheduled for its next review. A new word starts with a 1-day interval. After each successful review, the interval grows (multiplied by the easiness factor). A word you know well might have a 30-day or 90-day interval.
- Session
- One continuous block of reading in Owlevia. Words rated during a session are tracked for the email gate (after 50 ratings, Owlevia prompts you to save your progress). Your email links your session to a persistent MongoDB account so progress is never lost.
Ready to put these concepts into practice?