All of the following challenges would make the system better and need to be solved in a multilingual manner:
- Estimating article difficulty level - e.g. CEFR (in progress)
- Personalizing article difficulty - based on the detailed history
- Text simplification
- Automatically detecting learner capability based on their interactions
- Generating textual-knowledge questions
- Detecting particle verbs (and similar particles) reliably so we can highlight them correctly when translating
- Fine-grained interest discovery
- Video / audio recommendations
- Social media sources (requires a new kind of interaction with the extension)
- Content-filtering - the student who wanted "not to see articles about people dyeing"
- Main-content extraction from web articles (the last 5%)
- that adapt to the current learner level and interests