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"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

TED Talk Subtitles and Transcript: Patricia Kuhl shares astonishing findings about how babies learn one language over another -- by listening to the humans around them and "taking statistics" on the sounds they need to know. Clever lab experiments (and brain scans) show how 6-month-old babies use sophisticated reasoning to understand their world.

In this TED Talk, Patricia Kuhl discusses how babies learn language. Using lab experiments and brain scans, such as PET scans, her team of researches were able to determine that babies "take statistics." This means they use a process of reasoning to determine what sounds they need to learn to say.

A new study conducted by the University of Pennsylvania has shown that children as young as two understand basic grammar rules when they first learn to speak and are not simply imitating adults. The study also applied the same statistical analysis on data from one of the most famous animal language-acquisition experiments -- Project Nim -- and showed that Nim Chimpsky, a chimpanzee who was taught sign language over the course of many years, never grasped rules like those in a two-year-old's grammar. "When you compare what children should say if they follow grammar against what children do say, you find it to almost indistinguishable," Professor of Linguistics Charles Yang said. "If you simulate the expected diversity when a child is only repeating what adults say, it produces a diversity much lower than what children actually say." As a comparison, Yang applied the same predictive models to the set of Nim Chimpsky's signed phrases, the only data set of spontaneous animal language usage publicly available. He found further evidence for what many scientists, including Nim's own trainers, have contended about Nim: that the sequences of signs Nim put together did not follow from rules like those in human language. Nim's signs show significantly lower diversity than what is expected under a systematic grammar and were similar to the level expected with memorization. This suggests that true language learning is -- so far -- a uniquely human trait, and that it is present very early in development.

This article provided a great amount of information based on the negative affects texting has on us. Although there were not much on the statistics, the ideas were all there and supported by authors opinions. The author brought up a lot of valid points within the article.

Novelist Kurt Vonnegut once opined, "There is no reason why the simple shapes of stories can't be fed into computers. They are beautiful shapes." Thanks to new text-mining techniques, this has now been done. Researchers at the University of Vermont's Computational Story Lab have analysed over 1,700 English novels to reveal six basic story types - you could call them archetypes - that form the building blocks for more complex stories. They are: 1. Rags to riches - a steady rise from bad to good fortune 2. Riches to rags - a fall from good to bad, a tragedy 3. Icarus - a rise then a fall in fortune 4. Oedipus - a fall, a rise then a fall again 5. Cinderella - rise, fall, rise 6. Man in a hole - fall, rise The researchers used sentiment analysis to get the data - a statistical technique often used by marketeers to analyse social media posts in which each word is allocated a particular 'sentiment score', based on crowdsourced data. Depending on the lexicon chosen, a word can be categorised as positive (happy) or negative (sad), or it can be associated with one or more of eight more subtle emotions, including fear, joy, surprise and anticipation. For example, the word 'happy' is positive, and associated with joy, trust and anticipation. The word 'abolish' is negative and associated with anger. Do sentiment analysis on all the words in a novel, poem or play and plot the results against time, and it's possible to see how the mood changes over the course of the text, revealing a kind of emotional narrative. While not a perfect tool - it looks at words in isolation, ignoring context - it can be surprisingly insightful when applied to larger chunks of text

'By studying language in people with aphasia, we can try to accomplish two goals at once: we can improve our clinical understanding of aphasia and get new insights into how language is organized in the mind and brain,' said Daniel Mirman, Professor of Psychology at Drexel University. Mirman is lead author of a new study which examined data from 99 people who had persistent language impairments after a left-hemisphere stroke. In the first part of the study, the researchers collected 17 measures of cognitive and language performance and used a statistical technique to find the common elements that underlie performance on multiple measures. Researchers found that spoken language impairments vary along four dimensions or factors: 1. Semantic Recognition: difficulty recognizing the meaning or relationship of concepts, such as matching related pictures or matching words to associated pictures. 2. Speech Recognition: difficulty with fine-grained speech perception, such as telling "ba" and "da" apart or determining whether two words rhyme. 3. Speech Production: difficulty planning and executing speech actions, such as repeating real and made-up words or the tendency to make speech errors like saying "girappe" for "giraffe." 4. Semantic Errors: making semantic speech errors, such as saying "zebra" instead of "giraffe," regardless of performance on other tasks that involved processing meaning. In the second part of the study, researchers mapped the areas of the brain associated with each of the four dimensions identified above.

This articles talks about how social media has affected the way college students communicate with one another. What I found interesting was the statistics they found in the college students with 39% of the people who took the survey feeling closer to their friends because of social media, and 26% saying that they have more friends because of it. It was surprising to see the positive effect that social media had on people rather than all the negative affects it has.

Priming is a linguistic and psychological concept where a "prime" idea (word, image, etc.) is presented before a "target". The prime might influence what a viewer thinks of the target. Psychological studies use priming in tests such as a completion or lexical decision task in order to test other phenomenon. Priming is also a strategy used in marketing. Advertisers use priming to get you see appeal in their product. Perhaps this is in the form of a commercial where statistics of the product vs other companies' products is shown to enhance their own product. This can also be as simple as playing moody music in a restaurant before you sit down!

When the Communists took over Mainland China, the literacy rate in China was below 20%. It is now 95%, according to some estimates. The same rate among young people (15 to 24 years old) is now 99.6%, according to the UNESCO Institute for Statistics. And while the literacy rate in 1990 was 87% for men and 68% for women, in 2010 it was 98% for men and 93% for women. Many experts ascribe this considerable achievement to the simplification of Chinese written characters, actively promoted by the communists in the 1950s. Along with traditional Chinese characters, a simplified set of Chinese characters is one of the two sets of the contemporary Chinese written language.

I like this article because it also has a statistics at the bottom representing the influence of texts on primary school kids

This post (a 2021 update of a 2018 post) contains several useful infographics and charts, including a visualization of the top 23 most-spoken languages in the world, distribution of those languages by country, a family tree of Indo-European languages.

This article, published by BYU, talks about the effects that certain accents have on people's perceptions. Because everyone talks in a different way, some cultures may associate people with certain labels. Many studies are conducted within this article that displays statistical data on the perception of certain accents. Some people perceive certain accents positively while others see them negatively. This article reflects how different cultures act while being combined and the outcomes that come out of that action.

This article is about the positive and negative effects of technology on children, this talks specifically about statistics and how they can benefit and not benefit from technology use.