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Language is common to all humans; we seem to be "hard-wired" for it. Many social scientists and philosophers say it's this ability to use language symbolically that makes us "human." Though it may be a universal human attribute, language is hardly simple. For decades, linguists' main task was to track and record languages. But, like so many areas of science, the field of linguistics has evolved dramatically over the past 50 years or so. Today's science of linguistics explores: -the sounds of speech and how different sounds function in a language -the psychological processes involved in the use of language -how children acquire language capabilities -social and cultural factors in language use, variation and change -the acoustics of speech and the physiological and psychological aspects involved in producing and understanding it -the biological basis of language in the brain This special report, compiled by the National Science Foundation, touches on nearly all of these areas by answering questions such as: How does language develop and change? Can the language apparatus be "seen" in the brain? Does it matter if a language disappears? What exactly is a dialect? How can sign language help us to understand languages in general? Answers to these and other questions have implications for neuroscience, psychology, sociology, biology and more.

Languages often adapt naturally to the world around them. Speakers create new words to communicate new concepts. But when a language isn't spoken widely enough to adapt on its own - as with Hawaiian - it may need help to move things along. The Hawaiian language has nearly 30,000 words. But up until the late 1980s, the language didn't have words for subjects like soccer, computer or recycling. So a group of linguists and language advocates formed a lexicon committee in 1987 to invent new words. The committee has created at least 7,500 new words since its inception. Many of the committee's entries have been published in a modern Hawaiian language dictionary called Māmāka Kaiao. Much of the group's work helped to make Hawaiian teachable in language immersion schools. But some are skeptical of the committee's work. One interviewee noted that there is a small group creating words that we "need" now, but it's unclear why that word was chosen or how. Even the pronunciation of new words can be confusing, she adds. Disagreements among Hawaiian speakers may seem like bad news for spreading the language. But Larry Kimura, UH-Hilo Hawaiian language professor, says it's a sign that the language is growing. He said the lexicon committee helps speed up what would have been an otherwise natural process of ʻōlelo Hawaiʻi adapting to the world around it.

Recent advances in our understanding of the genetic basis of human cognition (thinking) have enabled scientists at the Max Planck Institutes for Psycholinguistics, Evolutionary Anthropology, and Human Cognitive and Brain Sciences. to better understand 3 areas of language: 1. Language processing: The human genome directs the organization of the human brain and some peripheral organs that are prerequisites for the language system, and is probably responsible for the significant differences in language skills between individuals. At the extremes are people with extraordinary gifts for learning many languages and undertaking simultaneous interpretation, and people with severe congenital speech disorders. 2. Language and populations: Genetic methods have revolutionized research into many aspects of languages, including the tracing of their origins. 3. Structural differences: While languages are not inborn, certain genetic predispositions in a genetically similar population may favour the emergence of languages with particular structural characteristics - an example thereof is the distinction between languages that are tonal (such as Chinese) and non-tonal (such as German).

Lera Boroditsky, then an assistant professor of psychology, neuroscience, and symbolic systems at Stanford University at the time of this article, looks at how the languages we speak shape the way we think. Boroditsky's research data, collected from around the world, suggeststhat people who speak different languages do indeed think differently and that even flukes of grammar can profoundly affect how we see the world. Language is a uniquely human gift, central to our experience of being human. Appreciating its role in constructing our mental lives brings us one step closer to understanding the very nature of humanity. Boroditsky argues that patterns in a language can indeed play a causal role in constructing how we think - that learning a new language isn't simply learning a new way of talking, but a new way of thinking. Languages shape the way we think about space, time, colors, and objects. Other studies have found effects of language on how people construe events, reason about causality, keep track of number, understand material substance, perceive and experience emotion, reason about other people's minds, choose to take risks, and even in the way they choose professions and spouses. Taken together, these results show that linguistic processes are pervasive in most fundamental domains of thought, unconsciously shaping us from the nuts and bolts of cognition and perception to our loftiest abstract notions and major life decisions. Language is central to our experience of being human, and the languages we speak profoundly shape the way we think, the way we see the world, the way we live our lives.

Siri uses a variety of advanced machine learning technologies to be able to understand your command and return a response - primarily natural language processing (NLP) and speech recognition. NLP primarily focuses on allowing computers to understand and communicate in human language. In terms of programming, languages are split up into three categories - syntax, semantics, and pragmatics. Whereas syntax describes the structure and composition of the phrases, semantics provide meaning for the syntactic elements. Pragmatics, on the other hand, refers to the composition and context in which the phrase is used.

Great find, Kai!

A new study of 37 languages by three MIT researchers has shown that most languages move toward "dependency length minimization" (DLM) in practice. That means language users have a global preference for more locally grouped dependent words, whenever possible. Apparently, it's easier for our brains to process a sentence when related words are closer together.

Here's a quick task: Take a look at the sentences below and decide which is the most effective. (1) "John threw out the old trash sitting in the kitchen." (2) "John threw the old trash sitting in the kitchen out." Either sentence is grammatically acceptable, but you probably found the first one to be more natural. A new study of 37 languages by three MIT researchers has shown that most languages move toward "dependency length minimization" (DLM) in practice. That means language users have a global preference for more locally grouped dependent words, whenever possible.

This article provides an insight into an interview with Christopher Manning, a Stanford professor of computer science and linguistics. He is focused on computational linguistics, also known as natural language processing. Natural language processing involves creating algorithms that can allow computers to understand written and spoken language and then intelligently respond. This involves systems such as Siri, Alexa, and Google Voice. These systems are pretty advanced technology, however, they are still far from perfect. Manning notes that people will probably still be working on natural learning processing in twenty years.

"Computational Linguistics became an open access journal, freely available to all online readers. ... Computational Linguistics is the longest running publication devoted exclusively to the design and analysis of natural language processing systems. From this highly-regarded quarterly, university and industry linguists, speech specialists, and philosophers get information about computational aspects of research on language, linguistics, and the psychology of language processing and performance."

Native languages are usually acquired in emotional, natural contexts, while foreign languages are typically learned through neutral, academic ones. As this article dives into how foreign languages affect emotional processing as compared to native languages, it finds data that shows that the emotional reactivity of bilinguals does decrease with foreign language use.

This article describes a study conducted by the Allen Institute of Artificial Intelligence which evaluated AI's capability to actually understand the language it produces. This comes after recent advancements in natural-language processing (NLP) have allowed AI to generate convincing literary works. In the study, researchers posed over 44,000 questions, built off the Winograd Schema Challenge, to an AI system. Essentially, the questions used pairs of sentences with slight differences that flipped the meaning of a pronoun, thus requiring a comprehensive understanding of semantics in order to correctly assign the pronoun. The study found that the AI only had a 60-80% success rate, compared to the human success rate of roughly 94%.

Including answers to questions such as: - Can you walk us through the logic Watson would go through to answer a question such as, "The antagonist of Stevenson's Treasure Island." (Who is Long John Silver?) - ...I found myself wondering whether what it does is really natural language processing, or something more akin to word association... does Watson really need to understand syntax and meaning to just search its database for words and phrases associated with the words and phrases in the clue?

"The field of natural language processing doesn't usually get showcased in a widely watched game show, but that's exactly what happened on Jeopardy! over the last three evenings, as IBM's Watson supercomputer squared off against the two best humans ever to play the game."

Dyslexia is the most common learning disability in the U.S. Scientists are exploring how human brains learn to read, and are discovering new ways that brains with dyslexia can learn to cope. 2 areas on the left side of the brain are key for reading: 1. the left temporoparietal cortex: traditionally used to process spoken language. When learning to read, we start using it to sound out words. 2. the occipitotemporal cortex: part of the visual processing center, located at the base of our brain, behind our ears. A person who never learned to read uses this part of the brain to recognize objects - like a toaster or a chair. But, as we become fluent readers, we train this brain area to recognize letters and words visually. These words are called sight words: any word that you can see and instantly know without thinking about the letters and sounds. This requires retraining the brain. When recognizing a chair, the brain naturally sees it from many different angles - left, right, up, down - and, regardless of the perspective, the brain knows it is a chair. But that doesn't work for letters. Look at a lowercase 'b' from the backside of the page, and it looks like a lowercase 'd.' They are the same basic shape and, yet, two totally different letters. But, as it does with a chair, the brain wants to recognize them as the same object. Everyone - not just people with dyslexia - has to teach the brain not to conflate 'b' and 'd'. The good news: intervention and training can help. At the end of the six week training sessions with dyslexics, the brain areas typically associated with reading, in the left hemisphere, became more active. Additionally, right hemisphere areas started lighting up and helping out with the reading process. The lead scientist, Dr. Eden, says this is similar to what scientists see in stroke victims, where other parts of the brain start compensating.

Words change meaning all the time - and over time. Language historian Anne Curzan underscores the natural process of language evolution, presenting 20 words that illustrate the creative morphing of language. Take, for example the word "clue". Curzan notes that "centuries ago, a clue (or clew) was a ball of yarn. Think about threading your way through a maze and you'll see how we got from yarn to key bits of evidence that help us solve things."

This article talks about why accents develop and the psychology behind it. It goes into how our social structures and groups cause us to all tend to talk like the other members of the group in order to better relate to them. It also mentions the natural process of accents forming.