The semantic learning won’t make any sense without a context associated with the learner’s personal interest.
Previously, the semantic learning is mainly through grammar rules and dictionary, however, they are lack of the example sentences, what’s worse, the learners have little interest in them. There are a few who have realized the problem, and they have built the products for semantic search, such as Ludwig, Sentence Stack, but their products still haven’t truly solved the problem, which is that no matter how authoritative and diversified the corpora may be, the contents in them are not necessarily the learners would be interested in.
For semantic learning, only the contents based on personal interest can activate learners’ attention with maximization so that they can mobilize more, deeper, stronger cognitive resources. So, what kind of contents are for personal interest? They are just learners’ daily digital life, such as web bookmarking, note-taking, subscribing, following, especially your web bookmarks, which present the fields or domains that you’re eager and ready to learn.
There are a lot of products for web bookmarking out there, such as Pocket, Instapaper, Pinboard, but all of these products are not for language learning.
Therefore, dada! has a built-in rabbit hole for learners to freely dig in the mine of their interests.
For example, when you search a word or a phrase on dada!, the rabbit hole section will show you the related sentences that totally come from your web bookmarks, so your various bookmarks will be no longer a digital grave but a treasure mine ever since.
In short, Rabbit Hole is a personalized corpus based on personal interest. The more contents you save, the richer your corpus are.
What’s more, you can easily save the sentences just as like as taking notes.