Particles are one of the trickiest things for Japanese learners to pick up, and this project seeks to approach the question of when and where to use some of the more common particles by looking at a little data! I took a couple corpora of Japanese text, annotated them with linguistic features, and narrowed the dataset to the particles and the words they're related to in their respective sentences. From there, I compiled the dependency and part of speech for each token as well as its syntactic head and compared particles that get commonly mixed up by Japanese learners. Alongside each comparison, I gathered some common rules of thumb used to help people distinguish which particles are appropriate in which contexts, for reference.
Welcome! This report was created for free using Python and Datapane.
Welcome! This report was created for free using Python and Datapane, the open source framework for building reports.