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"In recent decades, the study of language acquisition and instruction has increasingly focused on "chunking": how children learn language not so much on a word-by-word basis but in larger "lexical chunks" or meaningful strings of words that are committed to memory ... A native speaker picks up thousands of chunks like "heavy rain" or "make yourself at home" in childhood, and psycholinguistic research suggests that these phrases are stored and processed in the brain as individual units."

Good find, Ryan! I also took the video link and embedded it into our moodle page.

A new speed-reading app, Spritz, premiered in March 2014. Its makers claim that Spritz allows users to read at staggeringly high rates of speed: 600 or even 1,000 words per minute. (The average college graduate reads at a rate of about 300 words per minute.) Spritz can do this, they say, by circumventing the limitations imposed by our visual system. The author of this article argues that your brain has an even more superior "app": expertise, which creates a happy balance between speed and comprehension. In their forthcoming book, Make It Stick: The Science of Successful Learning, researchers Henry Roediger III and Mark McDaniel (along with writer Peter Brown) liken expertise to a "brain app" that makes reading and other kinds of intellectual activity proceed more efficiently and effectively. In the minds of experts, the authors explain, "a complex set of interrelated ideas" has "fused into a meaningful whole." The mental "chunking" that an expert - someone deeply familiar with the subject she's reading about - can do gives her a decided speed and comprehension advantage over someone who is new to the material, for whom every fact and idea encountered in the text is a separate piece of information yet to be absorbed and connected. People reading within their domain of expertise have lots of related vocabulary and background knowledge, both of which allow them to steam along at full speed while novices stop, start, and re-read, struggling with unfamiliar words and concepts. Deep knowledge of what we're reading about propels the reading process in other ways as well. As we read, we're constantly building and updating a mental model of what's going on in the text, elaborating what we've read already and anticipating what will come next. A reader who is an expert in the subject he's reading about will make more detailed and accurate predictions of what upcoming sentences and paragraphs will contain, allowing him to read quickly while filling in his alrea

Wanda Wallace, in a study reported in the November 1994 _Journal of Experimental Psychology_, noted that the melody of a song, in some situations, can facilitate learning and recall. The experiments in this article demonstrate that text is better recalled when it is heard as a song rather than as speech, provided the music repeats so that it is easily learned. Furthermore, the experiments indicate that the melody contributes more than just rhythmic information. Music is a rich structure that chunks words and phrases, identifies line lengths, identifies stress patterns, and adds emphasis as well as focuses listeners on surface characteristics. The musical structure can assist in learning, in retrieving, and if necessary, in reconstructing a text.

This article highlights the phrases that Clinton used during the presidential debate to attract black voters. Phrases like "systematic racism", "implicit bias", "black bias", and "racist" were used to identify with the black voters. Many viewers were excited that she was facing such issues and was tackling them head on because according to this article, "A big chunk of Americans - not just people of color - want our leadership to talk about race, and to talk about policing the criminal justice system and the role that race plays in those institutions." As a presidential candidate, Clinton has been forced to become more skilled with the word choice. Here, she attempts to appeal herself to different groups of people to attract votes.

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