Group items tagged

Science Daily is one of my favorite resources for finding current news, videos, scholarly articles, images, and books about language and its intersections with the sciences: neurology, psychology, anthropology. Try typing in keywords for your desired topic.

In a study published in the Journal of Memory and Language, Michael Vitevitch, KU professor of psychology, found there are words, like main players in a social network, that hold key positions on the word network and that we process them more quickly and accurately than similar words that they hold together in our memory." The finding may help lead to new insights into developmental and acquired language disorders and treatments for those ailments.

This is a list of many quotes from famous people that contains some paraprosdokian phrases

This article talks about the different arguments for the linguistic status of hashtags. One of the arguments is that they are like compound words. Compound words are words that are a combination of two existing words which were formed into one word (ex. notebook, living room or long-term). Another suggestion is that hashtagging is a less formal and completely new process of forming words. It suggests that there are no rules in hashtagging other than that there can be no spaces in between the parts. The authors argue that their research goes against both arguments by saying that they shouldn't be considered as words at all, but that they are still very interesting linguistically because they function in many different roles in language use on social media.

This article argues that hashtags are artificial words based on their research of a collection of millions of New Zealand English tweets. Hashtags are a widespread feature of social media posts and used widely in search engines. Anything with the intent of attracting attention comes with a memorable hashtag like #BlackLivesMatter, #MeToo, and #COVID19. There are two main theories regarding the linguistic status of hashtags. One claims hashbrowns are like compound words. This is a way of making new words by gluing two or more words together. Another claims that hashtags are words that arise from a completely different process. Hashtagging is a much looser word-formation process with fewer restrictions. However, these researchers argue against both these conjectures. They suggest hashtags are written to look orthographically like words but their function is much broader and similar to keywords in a library catalogue or search engine. The researchers also created their own term, hybrid hashtags, meaning hashtags comprising one or more words from two distinct languages. Their example of hybrid hashtags included #kiaora4that and #letssharegoodtereostories which combined English and Maori, the indigenous language of New Zealand.

Learning the intricacies of human languages is hard even for human children and non-native speakers - but it's particularly difficult for AI. Scientists have already taught computers how to do simple tasks, like translating one language to another or searching for keywords. Artificial intelligence has gotten better at solving these narrow problems. But now scientists are tackling harder problems, like how to build AI algorithms that can piece together bits of information to give a coherent answer for more complicated, nuanced questions. "Language is the ultimate frontier of AI research because you can express any thought or idea in language," states Stanford computer science professor Yoav Shoham. "It's as rich as human thinking." For Shoham, the excitement about artificial intelligence lies not only in what it can do - but also in what it can't. "It's not just mimicking the human brain in silicon, but asking what traits are so innately human that we don't think we can emulate them on a computer," Shoham said. "Our creativity, fairness, emotions, all the stuff we take for granted - machines can't even come close."

Check this article out to learn more about how our own language and our Top 20 keywords in the Oxford Corpus has changed since the beginning of the pandemic. While some words are not uncommon, two new ones come to mind. These are "social distance/social distancing" and "self-isolate/self-isolation." We can see the impact of the coronavirus by seeing which words are now used more frequently.