Notrobes allows you to search for words (individual characters that are not words and radicals coming soon), and gives you significant amounts of information about those words, including your interaction with them.
Simply enter a word in the language you are learning into the word entry textbox and the system will go off and get tons of information about the word and the component parts of the word.
This section gives graphical and sound information associated with the word, so how to write and say it. Chinese characters have stroke order animations.
Card Actions allow you to update the information the system has about your knowledge of the word. Here you tell the system how well you know the word. Learn more about the vocabulary revision system. This information is also used when consuming content (reading books, watching movies, browsing the web).
|You don't know the word. It will be glossed and will be prioritised as a word for revision|
|You know the word but not very well. It will not be glossed and will be proposed for learning soon|
|You know the word quite well. It will not be glossed and will be proposed for revision occasionally|
|You know the word. It will be not be glossed and will not be proposed for revision|
Existing cards shows you the most recent information the system has on your revision of the cards, including the (approximate) next time you should expect to see it in the revision tool. If the state is “Is Known”, then you don’t need to revise it - the date is when the system calculates you might forget, but when you say you know a word, the system doesn’t second guess you (so you don’t get bothered with a word you know and can concentrate on those you haven’t mastered yet).
Transcrobes gets different bilingual dictionary definitions from various sources (and can support more if they are available). The abbreviations are the following:
|Abbreviation||Part of speech|
These were adapted from the system used by Microsoft’s Azure Cognitive Services Text API
Related words are also collected from various data sources. These are often synonyms but can be similar words or antonyms also.
Personal Word Stats
Every time you encounter a word in the language you are learning (when using one of the tools!), the system records that you have seen it again, with some extra information, like whether you were also shown a gloss, whether you looked it up, etc. This information lets you know how often you see the word, and will soon be used for some new, advanced predictive features around the most useful vocabulary for each individual learner (like prioritising revision, predicting useful texts to read/study, exercise generation, etc.).
The system will soon start collecting examples of each of the words you are learning directly from your favourite content. Those will then be also used for creating exercises based on stuff that you have already encountered, which should make learning far more efficient for most learners.