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This research article was published to the Journal of Experimental Psychology, but this experiment did include linguistics. The experiments purpose was to see if more engaged working memory could quickly determine whether a word was really a word, thus the effect of the working memory on semantic meaning. They found that a high working memory load impaired the prime and task efficiency.

The fallacy is it assumes that the breakfast the viewer is eating is not "serious" if thats even a way to describe a breakfast. The line "isn't it time to get a serious breakfast" commits the logical fallacy, where the question is loaded with assumptions.

SwiftKey, a keyboard app, did an analysis of one billion emoji from aggregate SwiftKey Cloud data. The interactive map shows which emoji are most frequently used by which state. The full report can be loaded from https://blog.swiftkey.com/the-united-states-of-emoji-which-state-does-your-emoji-use-most-resemble/.

A traveling journalist in Beijing utilizes both Baidu (China's version of Google) and Google voice-translation apps with mixed results. You speak into the apps, they listen and then translate into the language you choose. They do it in writing, by displaying text on the screen as you talk; and out loud, by using your phone's speaker to narrate what you've said once you're done talking. Typically exchanges are brief: 3-4 turns on average for Google, 7-8 for Baidu's translate app. Both Google and Baidu use machine learning to power their translation technology. While a human linguist could dictate all the rules for going from one language to another, that would be tedious, and yield poor results because a lot of languages aren't structured in parallel form. So instead, both companies have moved to pattern recognition through "neural machine translation." They take a mountain of data - really good translations - and load it into their computers. Algorithms then mine through the data to look for patterns. The end product is translation that's not just phrase-by-phrase, but entire thoughts and sentences at a time. Not surprisingly, sometimes translations are successes, and other times, epic fails. Why? As Macduff Hughes, a Google executive, notes, "there's a lot more to translation than mapping one word to another. The cultural understanding is something that's hard to fully capture just in translation."

As well as making signage clearer, it's been shown that an easy-to-read typeface might convince your brain that a given task is easier to perform because information printed in a legible typeface ostensibly requires less mental effort to understand and process. Interestingly, some studies suggest when words are harder to process, people pay more attention to what the words actually say; because of that, the memory trace becomes stronger, aiding comprehension and retention. Printing something in hard-to-read font increases "desirable difficulty," the addition of an obstruction to the learning process that requires you to put in just enough effort, which leads to better memory retention and deeper cognitive processing." For those of you who might be interested in testing desirable difficulty out, the author suggests an experimental design.

In this NPR interview, Trinidadian-American Lyiscott reflects on a moment where she'd been termed "articulate," a loaded term that got Lysicott reflecting on the ways certain varieties of language are privileged over others, and also the way "articulate" also suggests a perceived mismatch between the appearance/race of the person and their use of langugage, also how people judge others' intellect and capacity, based on how they speak.