Since I’m having fun with these software micromaterials, I thought I’d continue on with another simple one. Along with working on rebasing, resolving merge conflicts is another thing that learners new to git need to work on. If you want the longer explanation, you can go straight to the Github repository, but the short version is […]
As an exciting and not altogether unexpected twist…I’ve decided to start working on micromaterials for software development. One of the most useful utilities in software development is a version control system called Git. The short version of what it does: Stores a snapshot of each version of the project, making it easy to revert to […]
I’m happy to finally have gotten a semi-working web interface for the generated minimal pairs. The data behind it is still not great (only 360 videos’ worth of audio), but I’m hoping to feed it with a bunch more data (approx 4x more) within the next month or so. Since last time, I updated it […]
So the process of automating a pipeline to generate audio for practicing minimal pairs has been largely successful, in that I’m able to take a YouTube URL (or more precisely, multiple URLs) and from that generate data ready to be sent to a server for use in creating a website to help students practice listening […]
Although my recent attempts to get something meaningful out of a wikipedia data dump have hit a few walls, I still hope to eventually do something interesting with applying named entity recognition or some sort of (semantic?) dependency parsing to be able to construct simple comprehension questions. But that’s being shelved for the time being. […]
https://www.word-booster.com/ I’m very happy (though feeling a bit outplayed) to find a great example of a micro material out in the vast internet. It’s a bit similar to an idea that I had (see previous post), though to be fair, it is much more nicely designed than anything I’ve ever done. It’s an online service […]
So since I haven’t really developed that much (lots of stuff in the works), thought I would just riff a bit about some current thoughts related to using Natural Language Processing and/or Machine Learning to create micromaterials (…but mostly NLP). I’ve been playing around with the Stanford CoreNLP library (which also means I’m now firmly […]
