Apply HN: paralleltext.io – Learn languages by reading

📰 Hacker News · mstipetic

Learn languages by reading human-translated books in parallel with paralleltext.io, a tool that combines learning with pleasure

intermediate Published 7 Apr 2016
Action Steps
  1. Explore paralleltext.io to learn languages by reading
  2. Use the tool to match human-translated paragraphs from ebooks in European languages
  3. Provide feedback to the developers to improve the tool
  4. Integrate paralleltext.io into language learning curriculums
  5. Develop similar tools for other languages and markets
Who Needs to Know This

Developers and product managers can benefit from this tool to improve their language skills, while language learning and publishing teams can utilize it to enhance their offerings

Key Insight

💡 Combining language learning with the pleasure of reading can increase continuity and engagement

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📚 Learn languages by reading with paralleltext.io! 🇪🇺

Key Takeaways

Learn languages by reading human-translated books in parallel with paralleltext.io, a tool that combines learning with pleasure

Full Article

http://paralleltext.io enables a simple way of learning languages by reading and listening human translated books in parallel. Problem: Learning languages is a difficult process that requires hard work no matter if you choose the academic way or to use existing apps. It also requires continuity, a key factor which is hard to achieve with the available methods. Solution: We want to change that by combining the learning experience with the pleasure of reading and listening to a book. A large number of book translations is available, but we think they're being underutilized for this purpose. Progress: We built a tool that matches human translated paragraphs from ebooks in all European languages and a novel interface to read them. Now we are focusing on adding more books and more engaging features. Market: Language learning and publishing Team: We are two developers, both with product management experience living in Berlin. Feedback: we got amazing feedback so far (https:&#x
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