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Examining the results and methodology of a large Whorfian study (17 languages), which tested differences if there are differences in cognition between speakers of verb-frame languages (like Spanish, if the "Path is characteristically represented in the main verb or verb root of a sentence") and satellite-frame languages (like English, if the path is "characteristically represented in the satellite and/or preposition"). Important conclusion regarding study methodology: "Strong claims regarding the (in)validity of the Whorfian hypothesis in the encoding of motion events cannot be made on the basis of a limited number of languages or a restricted range of manner and path contrasts." They could have reached opposite conclusions if they only compared certain language pairs.  This is made in contrast with studies by, e.g., Boroditsky, which had relatively small sample sizes.

Three amazing stories about language: "We meet a woman who taught a 27-year-old man the first words of his life, hear a firsthand account of what it feels like to have the language center of your brain wiped out by a stroke, and retrace the birth of a brand new language 30 years ago." (also, the transcript is here: http://www.radiolab.org/2010/aug/09/transcript/)

i'm enjoying it right now! check out the video, too. i'll try to bookmark it (my first!).

Ahh...I see Ryan found it first! Thanks, Ryan!

"Psychologists had already suspected that language was important for understanding numbers. Earlier studies of two tribes in the Amazon - one that had no words for numbers greater than five and another whose counting system seemed to go "one, two, many" - showed that people in those tribes had trouble reporting exactly how many objects were placed in front of them. But in those cultures, which don't have monetary systems, there might be no need to represent large numbers exactly. The question posed was whether language kept those Amazonian people from counting, or a lack of cultural pressure. To address that question, Spaepen and colleagues turned to Nicaraguan homesigners, deaf people who communicate with their hearing friends and relatives entirely through made-up hand gestures."

more detail from Harvard about how to use N-gram

This article answers that question!

"EF Education First, an English-teaching company, compiled the biggest ever internationally comparable sample of English learners: some 2m people took identical tests online in 44 countries." Interesting data, especially about how different factors correlate with English ability. Direct link to report: http://www.ef.com/sitecore/__/~/media/efcom/epi/pdf/EF-EPI-2011.pdf

Many linguists, including Noam Chomsky, contend that language in the sense we ordinary think of it, in the sense that people in Germany speak German, is a historical or social or political notion, rather than a scientific one. For example, German and Dutch are much closer to one another than various dialects of Chinese are.

Historical linguists agree that Japanese is a Japonic language, but do not agree further about the origin of the Japanese language; there are several competing theories: Japanese is a relative of extinct languages spoken by historic cultures in what are now the Korean peninsula and Manchuria.

Other, non-human primates have Broca's and Wernicke's areas in their brains, as do humans. In both species, the Broca's region represents non-linguistic hand and mouth movements. Evidence also suggests that both species may have mirror neurons in this region that are involved in understanding the actions and intentions of others. In both macaques and humans, this region is likely involved in producing orofacial expressions and in understanding the intentions behind orofacial expressions of others. In humans, it has evolved an additional communicative function, namely speech production. Interestingly however, it does not appear to be involved in monkey vocalizations, which are instead mediated by limbic and brainstem areas. In both species, the region represents non-linguistic hand and mouth movements. Evidence also suggests that both species may have mirror neurons in this region that are involved in understanding the actions and intentions of others. In both macaques and humans, this region is likely involved in producing orofacial expressions and in understanding the intentions behind orofacial expressions of others. In humans, it has evolved an additional communicative function, namely speech production. However, unlike in humans, Broca's area does not appear to be involved in monkey vocalizations, which are instead mediated by limbic and brainstem areas. Regarding Wernicke's area, which is responsible for language comprehension in humans, evidence suggests that the left superior temporal gyrus is specialized for processing species-specific calls in macaques, just as it is specialized for speech comprehension in humans.

Research from Concordia University in Montreal reveals a new perk visible in the problem-solving skills of bilingual toddlers. The study assessed the vocabularies of 39 bilingual children and 43 monolinguals when they were aged 24 months, and then again at 31 months. During the second assessment, the researchers also had the young participants perform a battery of tasks to test their cognitive flexibility and memory skills. While overall, there was little difference between the bilingual and monolingual toddlers, bilingual children performed significantly better on the conflict inhibition tasks than did their monolingual counterparts. Conflict inhibition refers to the mental process of overriding a well-learned rule that you would normally pay attention to. These were the two tasks: 1. Reverse categorization -- participants were told to put a set of little blocks into a little bucket and big blocks into a big bucket. Then the instructions were switched -- big blocks in the little bucket and little blocks in the big bucket. 2. Shape conflict -- participants were shown pictures of different sized fruit and asked to name them. Then a new series of images was shown, with a small fruit embedded inside a large one. Toddlers were asked to point to the little fruit. Crivello, one of the lead researchers, commented that "Language switching underlies the bilingual advantage on conflict tasks. In conflict inhibition, the child has to ignore certain information -- the size of a block relative to a bucket, or the fact that one fruit is inside another. That mirrors the experience of having to switch between languages, using a second language, even though the word from a first language might be more easily accessible."

The South has various species of both accents and dialects. An accent is composed purely of pronunciation changes, almost always vowel sounds. Dialects, on the other hand, incorporate all kinds of other stuff, including vocabulary, structure, syntax, idioms, and tenses. There were many distinct regional accents or dialects in the pre-Civil War South. North Carolina, smack in the middle of the Atlantic South, found more of those dialects within its borders than any other state. On top of that, North Carolina is home to a dialect found nowhere else in the world: the English spoken by those in the Pamlico Sound region, the coastal area that includes the Outer Banks. Interesting trivia tidbit: Distinctly Southern dialects among the white population of the American South seem only to have taken hold starting around the time of the Civil War.The period from the end of the Civil War until World War I-which seems like a long time, but is very condensed linguistically, less than three generations-saw an explosion of diversity in what are sometimes referred to as Older Southern American Accents. The article also notes the reasons for the South's linguistic diversity in re: accents and dialects, and why those accents and dialects have been perpetuated. In Southern states bordering the Atlantic Ocean, regional dialects sprung up seemingly overnight, influenced by a combination of factors, including the destruction of infrastructure, the panic of Reconstruction, lesser-known stuff like the boll weevil crisis, and the general fact that regional accents tend to be strongest among the poorest people. In the post-Civil War period, Southerners left the South en masse; the ones who stayed were often the ones who couldn't afford to leave, and often the keepers of the strongest regional accents. A lack of migration into the South, either from the North or internationally, allowed its regional accents to bloom in relative isolation. However, after WWII, an influx of Northerne

Analyzing the verbs that followed male and female pronouns in 100K stories, the following patterns were observed: 1. Women are more likely to be in the role of victims- "she screams", "she cries", or "she pleads." Men tend to be the aggressor: "he kidnaps" or "he beats". Not all male-oriented terms are negative- many, like "he saves"/"he rescues" are distinctly positive- but almost all are active rather than receptive. 2. There's an old stereotype (that's appeared in works like Game of Thrones and Sherlock Holmes) that "poison is a woman's weapon", and this is supported in our analysis. Female characters are more likely to "poison", "stab", or "kick"; male characters are more likely to "beat", "strangle", or simply "murder" or "kill". Men are moderately more likely to "steal", but much more likely to "rob". 3. Based on this text analysis, a fictional murderer is about 2.5X as likely to be male than female, but in America (and likely elsewhere) murderers are about 9X more likely to be male than female. This means female murderers may be overrepresented in fiction relative to reality. David Robinson, the data scientist who ran the text analysis, offers these questions for future research: 1.Is the shift stronger in some formats or genre than another? We could split the works into films, novels, and TV series, and ask whether these gender roles are equally strong in each. 2. Is the shift different between male- and female- created works? 3. Has the difference changed over time? Some examination indicates the vast majority of these plots come from stories written in the last century, and most of them from the last few decades (not surprising since many are movies or television episodes, and since Wikipedia users are more likely to describe contemporary work). 4. I'd also note that we could expand the analysis to include not only pronouns but first names (e.g. not only "she tells", but "M

This article describes the relative effect of language internal and external factors on the number of cases in the world's languages. It considers model population size and the proportion of second language speakers in the speech community as sociolinguistic predictors, and other factors that have recently been suggested to influence typological and sociolinguistic language variations.

This article discusses how Google Translate functions. Google Translate is a relatively accurate and easy-to-use translator. At first, the system required millions of human-generated translations of texts to identify patterns, in order to provide a pretty accurate translation. Also during this early period, the translator would use English as an intermediary language-languages were translated to English and then from English to the target language. The translator was decent at translating short excerpts, but as the texts got longer, there is a decline in the quality of the translations. In 2016, Google announced they were shifting to a neural network machine learning process, which is supposed to attempt look at the full context of the texts to eliminate discrepancies in translations. This way instead of an intermediary language, the system can just translate from one language to another.

Some people seem to pick up a second language with relative ease, while others have a much more difficult time. Now, a new study suggests that learning to understand and read a second language may be driven, at least in part, by our ability to pick up on statistical regularities. Some research suggests that learning a second language draws on capacities that are language-specific, while other research suggests that it reflects a more general capacity for learning patterns. According to psychological scientist and lead researcher Ram Frost of Hebrew University, the data from the new study clearly point to the latter: "These new results suggest that learning a second language is determined to a large extent by an individual ability that is not at all linguistic," says Frost. In the study, Frost and colleagues used three different tasks to measure how well American students in an overseas program picked up on the structure of words and sounds in Hebrew. The students were tested once in the first semester and again in the second semester. The students also completed a task that measured their ability to pick up on statistical patterns in visual stimuli. The participants watched a stream of complex shapes that were presented one at a time. Unbeknownst to the participants, the 24 shapes were organized into 8 triplets -- the order of the triplets was randomized, though the shapes within each triplet always appeared in the same sequence. After viewing the stream of shapes, the students were tested to see whether they implicitly picked up the statistical regularities of the shape sequences.

Gratitude is a common aspect of social interaction, yet relatively little is known about the neural bases of gratitude expression, nor how gratitude expression may lead to longer-term effects on brain activity. This Indiana University study tested whether gratitude letter-writing had benefits on the emotional health of depressed patients. Researchers found that a simple gratitude writing intervention was associated with significantly greater and lasting neural sensitivity to gratitude - subjects who participated in gratitude letter writing showed both behavioral increases in gratitude and significantly greater neural modulation by gratitude in the medial prefrontal cortex three months later.

This MIT Technology Review article notes that while Artificial Intelligence has experienced many sophisticated advances, one fundamental capability remains elusive: language. Systems like Siri and IBM's Watson can follow simple spoken or typed commands and answer basic questions, but they can't hold a conversation and have no real understanding of the words they use. In addition, humans, unlike machines, have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. Programming machines to comprehend and generate language is a complex task, because the machines would need to mimic human learning, mental model building, and psychology. As MIT cognitive scientist Josh Tenenbaum states, "Language builds on other abilities that are probably more basic, that are present in young infants before they have language: perceiving the world visually, acting on our motor systems, understanding the physics of the world or other agents' goals." ­ If he is right, then it will be difficult to re-create language understanding in machines and AI systems without trying to mimic human learning, mental model building, and psychology.