At this point, we come to a watershed moment. In the last 60 weeks I’ve prepared Internet Swadesh Grids for the six UN languages, ten for each language. Although interesting and (in some cases) fascinating to watch, it’s also something of a slog to do this manually. So I am taking a hiatus for a while, to see if I can figure out a way to automate the process.
However, there are still interesting things to do with the data I’ve collected. One question to answer: how much variation did each individual term display over the course of the experiment? An easy way to check is to composite the images together into one layered image. The more variation in the search results, the more blurry the composited entry.
So here’s the composited English list! This particular list contains 12 layers, not 10, as I’d done one set way back in 2012, and did a startoff set in this iteration before I decided to use all six UN languages. Some entries — like 68 horn — rarely changed, showing in this case some iteration of a French horn. Some — like 167 fire — had several different images, but they were all various flame-esque images. And some — like 97 to vomit — had a wide variety of images returned.