Visualizing type-based word vectors
Eight years ago I wrote a post called Word embeddings: the (very) basics. It apparently struck a chord, because people still find it, still link to it, and occasionally still email me about it....
Eight years ago I wrote a post called Word embeddings: the (very) basics. It apparently struck a chord, because people still find it, still link to it, and occasionally still email me about it....
In Corpus Linguistics and Statistics with R, I showed how to make a word cloud from a text file (Section 6.3). A word cloud is a user-friendly way of representing a frequency list graphically....
If you work with large annotated corpora, you will know the feeling. You have a research question. You know roughly what you are looking for: a construction, a collocation, a specific part-of-speech sequence. You...
A while back, I wrote about a Shiny app I built for my Master students at Université Bordeaux Montaigne, one that automates the choice between a χ² test and Fisher’s exact test of independence...
What happens when you ask fifteen Master’s students to annotate the pragmatic uses of a single adverb across eight thousand historical sentences, then train a neural network on their collective judgments? This post chronicles...
In a previous post, I argued that large language models were contaminating the linguistic ecosystem by producing a generic, formulaic style that spreads through the language like dye through water. A shorter article version of...
As corpus linguists, we often grapple with the question of how to empower students who may not have extensive coding skills to design tools that fit their research needs. With this in mind, I developed a modest yet very helpful Shiny app that simplifies running [latex]\chi^2[/latex] and Fisher’s exact tests for independence while offering access to the underlying code. This blog post explores how the app was built, its assets and limitations, and reflects on pedagogical goals.