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Online translation services work for fewer than 100 of the world's 7,000 languages. However, now a new machine translation technique could change that by providing translations for thousands of other languages.

Emoji, however inelegant as they may seem, have become a language of their own, a way to transcend the limits of one's native tongue to communicate with others worldwide. Instagram found that as emoji use rose across the app, the use of Internet slang formed from English letters went down, and that the two phenomena were strongly correlated. That could explain why you may be seeing fewer instances of "Lol" on Instagram photo captions, while smiley face emoji are becoming more prevalent. "It is a rare privilege to observe the rise of a new language," Thomas Dimson, a software engineer on Instagram's data team, said in a company blog post on Friday. "Emoji are becoming a valid and near-universal method of expression in all languages." Even as the limits of emoji characters are reached by the number of available emoji - around 700 by most standard shared measures - users are finding new ways to use them to communicate. Pairing two or more emoji together, for instance, can form rudimentary sentences or sentiments for others to understand.

The LENA System measures the early language environment of children birth to 48 months. It consists of a compact digital recorder with clothing so a child can wear it comfortably; software that turns the recording into data; and a cloud-based system for managing the data. Feedback from LENA helps parents and caregivers increase the quantity and quality of interactive talk. While words are important, "conversational turns" are even more so - times when an adult says something and the child responds, or vice versa. Turns measure interactions, and according to research, they're a very powerful predictor of brain growth. LENA devices were mentioned in "In the Beginning Was the Word" article from _The Economist_.

The urge to converse with animals is age-old, long predating the time when smartphones became our best friends. A new app, is the product of a growing interest in enlisting additional intelligences - machine-learning algorithms - to decode animal communication. The app detects and analyzes cat utterances in real-time, assigning each one a broadly defined "intent," such as happy, resting, hunting or "mating call." It then displays a conversational, plain English "translation" of whatever intent it detects. MeowTalk uses the sounds it collects to refine its algorithms and improve its performance, the founders said, and pet owners can provide in-the-moment feedback if the app gets it wrong. In 2021, MeowTalk researchers reported that the software could distinguish among nine intents with 90 percent accuracy overall. But the app was better at identifying some than others, not infrequently confusing "happy" and "pain," according to the results. Dogs could soon have their own day. Zoolingua, a start-up based in Arizona, is hoping to create an A.I.-powered dog translator that will analyze canine vocalizations and body language. Still, even sophisticated algorithms may miss critical real-world context and cues, said Alexandra Horowitz, an expert on dog cognition at Barnard College. For instance, much of canine behavior is driven by scent. "How is that going to be translated, when we don't know the extent of it ourselves?" Dr. Horowitz said in an email.

The Gitxsan Nation, an indigenous tribe, is located in northwestern British Columbia. Victoria software developer and linguist Aidan Pine used open source code to adapt the virally-popular online game Wordle for Gitxsan. While Pine recognizes that games like Wordle can support language learners, Pine said he's it's important to remember that technology is not what keeps languages alive. "People revitalize languages through hard work and determination. And if small games like this can help or make it easier, that's great." Stay tuned--word has it there's an `Ōlelo Hawai`i version in the works, and other coder linguists can find Pineʻs code here (itʻs adaptable to any language): github.com/roedoejet/AnyLanguage-Wordle

https://www.mauinews.com/news/local-news/2022/02/uh-maui-college-professor-releases-hawaiian-version-of-online-game-wordle/ Ka pepa uila: hulihua.net

AI writers like ChatGPT can often produce work that is, at least on first glance, indistinguishable from human writing. With a simple prompt like "write an expository essay on symbolism in Heart of Darkness," ChatGPT can spit out an organized, coherent, five-paragraph essay in seconds. (See results below.) And no two essays will be identical. In some cases, help from an AI may be as acceptable as using a Google search as part of the research process. But in many cases, it will be unacceptable for classroom work. So how do teachers deal with the growing ease with which AIs can complete student homework? Turnitin, which is known for its technology used for plagiarism detection, has posted a technology preview that shows its software automatically detecting work written by an AI writer, even going so far as to show which parts of an essay were written by AI versus human and indicate where AI writing transitions into human writing.