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Sound symbolism is a non-arbitrary relationship between speech sounds and meaning. We review evidence that, contrary to the traditional view in linguistics, sound symbolism is an important design feature of language, which affects online processing of language, and most importantly, language acquisition. We propose the sound symbolism bootstrapping hypothesis, claiming that (i) pre-verbal infants are sensitive to sound symbolism, due to a biologically endowed ability to map and integrate multi-modal input, (ii) sound symbolism helps infants gain referential insight for speech sounds, (iii) sound symbolism helps infants and toddlers associate speech sounds with their referents to establish a lexical representation and (iv) sound symbolism helps toddlers learn words by allowing them to focus on referents embedded in a complex scene, alleviating Quine's problem. We further explore the possibility that sound symbolism is deeply related to language evolution, drawing the parallel between historical development of language across generations and ontogenetic development within individuals. Finally, we suggest that sound symbolism bootstrapping is a part of a more general phenomenon of bootstrapping by means of iconic representations, drawing on similarities and close behavioural links between sound symbolism and speech-accompanying iconic gesture.

Scientists are reporting in the journal Science that they have identified specialized brain cells that help us understand what a speaker really means. These cells do this by keeping track of changes in the pitch of the voice. "We found that there were groups of neurons that were specialized and dedicated just for the processing of pitch," says Dr. Eddie Chang, a professor of neurological surgery at the University of California, San Francisco. Chang says these neurons allow the brain to detect "the melody of speech," or intonation, while other specialized brain cells identify vowels and consonants. "Intonation is about how we say things," Chang says. "It's important because we can change the meaning, even - without actually changing the words themselves." The identification of specialized cells that track intonation shows just how much importance the human brain assigns to hearing, says Nina Kraus, a neurobiologist who runs the Auditory Neuroscience Laboratory at Northwestern University. "Processing sound is one of the most complex jobs that we ask our brain to do," Kraus says. And it's a skill that some brains learn better than others, she says. Apparently, musicians, according to a study conducted by Kraus, are better than non-musicians at recognizing the subtle tonal changes found in Mandarin Chinese. On the other hand, recognizing intonation is a skill that's often impaired in people with autism, Kraus says. "A typically developing child will process those pitch contours very precisely," Kraus says. "But some kids on the autism spectrum don't. They understand the words you are saying, but they are not understanding how you mean it." The new study suggests that may be because the brain cells that usually keep track of pitch aren't working the way they should.

This essay talks about code switching of African American students in school and how educators should deal with the situation. By reconsidering attitudes towards non-Standard English, communicating speech expectations, demonstrating what is expected, affirming students language, and making assignments that are culturally reflective. This is sort of relevant to Hawai'i as the same can be said about Hawaiian Creole English.

This editorial explores and details the positives and subsequent draw backs of English being used nearly exclusively as the language of science. Discusses the present prejudices implicated against non native speakers of english, and how those within the science community can minimize these challenges.

How Internet language will change language in the future. The more people use the internet and its language to communicate, the more non-internet language will be affected by the internet.

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."

This article is about how being out of school for half a year could change children's relationship with formal expression. Learning online is not nearly as effective as in-school instruction and this article talks about how that may affect young students in the future. It also talks about how children who speak a non-English language at home will become more proficient in that language due to the nation-wide stay at home orders. This article highlights the benefits and drawbacks that will affect young children and their language due to being in quarantine.

This article talks about how people will be affected by the Coronavirus linguistically. It reasons that now people are staying at home, their home languages can be better preserved. The article also mentions that online teaching is not as effective as interpersonal teaching because young students won't be learning kinesthetically and will only be learning passively through a screen. This holds true for me, as certain topics are better explained to me in a classroom setting.

This article talks about how people across many cultures are generally better at describing warm colors than cool colors. A study they conducted supports their hypothesis that people are better at communicating warm colors than cool colors because most of the objects they see are warm in color, while backgrounds tend to be cool in color. Therefore, since people are more likely to describe an object than the background behind it, they have developed a larger vocabulary for warm colors. The article also says that interestingly, industrialized cultures have more words for colors than non-industrialized cultures. For example, in English there are 11 color words that basically everyone is familiar with whereas in the language Tsimane', there are only three color words that everyone knows.

The term 'eye dialect' was first coined in 1925 by George P. Krapp in The English Language in America (McArthur 1998). The term was used to describe the phenomenon of unconventional spelling used to reproduce colloquial usage. When one encounters such spellings "the convention violated is one of the eyes, and not of the ear". Furthermore, eye dialect would be used by writers "not to indicate a genuine difference in pronunciation, but the spelling is a friendly nudge to the reader, a knowing look which establishes a sympathetic sense of superiority between the author and reader as contrasted with the humble speaker of dialect". Mrs. Cowell's note: Contemporary writers of color now employ eye dialect to show disdain for the word that's misspelled, e.g. Cherokee writer Qwo-Li Driskill uses "AmeriKKKan" to underscore the racism and cultural genocide happening in a country that pays lip service to justice and equity.

This essay compares the controversies surrounding actions taken by two school boards-one in Hawai'i and the other in Oakland-in their attempts to help students in their districts attain fluency in standard English. Public reactions expressed during each of these two incidents demonstrated a general lack of understanding about languages and nonstandard dialects. The myths and characterizations about Hawai'i Creole English and African American Vernacular English, and the issues these two stigmatized dialects have raised, point to educational policy implications concerning academic achievement and the politics of language.

This is a really useful essay in highlighting linguistic research re: how to effectively instruct speakers of non-standard varieties of English, e.g. AAVE and HCE. Nice find!

Scientific American Mind, 18(4), 13-13. Infographic that talks about how non-verbal language reveals your roots and heritage, such as body language.

Very interesting article on how English will change in the future. It includes clips of what Old English, Modern English, and Future English sound like compared to each other. It's interesting to see how English could start to sound like foreign languages as it picks up characteristics given by non-native speakers.

Sociolinguist Gavin Lamb examines how people use language to build social relationships with non-human beings, like dogs. He cites the research of Alexandra Horowitz, a dog-cognition scientist who studied verbal human-dog interaction. Some interesting findings: 1. Humans use dog-directed parentese for attention-getting, positive-affect, using a higher pitch, like we might for babies/toddlers. 2. Talking to dogs serves as a social lubricant for starting up conversations, or diffusing tense situations with other humans. 3. Asking rhetorical, unanswerable questions, e.g. "What's up, buddy?": an example of phatic communication, which is not information-driven, but which helps establish or maintain social relationships. The language serves a socio-pragmatic, rather than denotative function.

Dr. Mitsuhiko Ota, a linguist in the University of Edinburgh Language Sciences department, was the lead researcher in a 2018 study (Ota, Davies-Jenkins, and Skarabela 2018) examining infant-directed speech, a.k.a. baby talk. Across languages, lexical items specific to infant-directed speech (i.e., 'baby-talk words') are characterized by three major features: 1. onomatopoeia incorporated into non-arbitrary, "highly iconic" words, e.g. "quack", "bow wow" 2. diminutives, e.g. "daddy", "tummy" 3. reduplication, e.g. "din din", "easy peasy" These three lexical characteristics may help infants discover the referential nature of words, identify word referents, and segment fluent speech into words. If so, the amount of lexical input containing these properties should predict infants' rate of vocabulary growth. To test this prediction, Ota's team tracked the vocabulary size in 47 English-learning infants from 9 to 21 months and examined whether vocabulary growth was related to measures of iconicity, diminutives, and reduplication in the lexical input at 9 months. The team's analyses showed that both diminutives and reduplication in the input were associated with vocabulary growth, although measures of iconicity were not. These results are consistent with the hypothesis that phonological properties typical of lexical input in infant-directed speech play a role in early vocabulary growth.

This article discusses the impact of special communication apps for children with Autism Spectrum Disorder and how they help non-verbal students communicate with the teachers and classmates.

A mom to a child with autism wrote a children's book to demonstrate how her non-verbal son is able to communicate despite being unable to speak. Although many people with severe autism aren't able to verbally communicate, they are still able to communicate their thoughts through gestures, body language, and tablets. Tablets have become a voice for people with autism and allows them to show others that they are able to comprehend more than people realize. People with autism, especially children, face constant judgment and bullying. The hope is that this book will normalize and expose children to other children with autism.

This article discusses the AI company Sanas' invention of technology that can mask "non-preferred" accents, intended for use in call centers. Controversy has erupted over the consequences of this technology, namely white-washing and the erasure of the culture and identity that is tied to accents.

This article writes about address terms like "guys," "y'all," "bro," "dude," etc. They wrote about how masculine terms evolve tend to lose their gender over-time. This is the case because they are seen as more powerful and therefore more acceptable to be used for non-male addressees. People may take offense to being addressed as "ladies" because "ladies" puts attention towards their femininity when gender is usually irrelevant to the situation.