Botched autocorrects are a byproduct of a technological convenience that allows typing on the go, even when the message does not always come out as planned. Yet as autocorrect technology has become more advanced, so have its errors. Tech companies like Google, Facebook and Apple employ dozens of linguists - or "natural language programmers," as they are known - to analyze language patterns and to track slang, even pop culture. And they can do amazing things: correct when you hit the wrong keys (the "fat finger" phenomenon) and analyze whom you are texting, how you have spoken with that person in the past, even what you've talked about.
Apple's iOS 8 operating system, released in September, even purports to know how your tone changes by medium - that is, "the casual style" you may use in texting versus "the more formal language" you are likely to use in email, as the company put it in a statement. It adjusts for whom you are communicating with, knowing that your choice of words with a buddy is probably more laid-back than it would be with your boss. Your smartphone may now be able to suggest not just words but entire phrases. And the more you use it, the more it remembers, paying attention to repeated words, the structure of your sentences and tone.
In this article addressed to teachers, author Julia Csillag cites research on the use of wordless texts to teach students with autism spectrum disorder.
Wordless texts can be used to address a variety of skills that autistic students typically struggle with, including diverse literacy skills, cognitive flexibility, and nonverbal communication. Removing words and auditory information also supports autistic students since integrating information from multiple senses can take longer in autistic individuals, particularly if this information is linguistic. Removing words can therefore positively influence processing.
Using wordless books or movies can build diverse literacy skills in terms of making inferences, understanding narrative structure, and using evidence to support a claim. All wordless "texts" support individuals' ability to make inferences, which is helpful since research shows that "students with Asperger syndrome…had challenges in making inferences from the text" (Knight & Sartrini, 2014). Moreover, researchers have found that "similar processes contribute to comprehension of narratives across different media" (Kendeou, P. et al, 2009), meaning that addressing visual inferences can transfer to inferences made during reading. Images and silent books or movies necessarily require students to infer what is happening, who the characters are, etc.
This article discusses the newly arising Internet Language. Not only can these new internet grammar structures and phrases often convey messages that conventional language simply cannot, but it also does this more efficiently and casually.
A traveling journalist in Beijing utilizes both Baidu (China's version of Google) and Google voice-translation apps with mixed results. You speak into the apps, they listen and then translate into the language you choose. They do it in writing, by displaying text on the screen as you talk; and out loud, by using your phone's speaker to narrate what you've said once you're done talking. Typically exchanges are brief: 3-4 turns on average for Google, 7-8 for Baidu's translate app.
Both Google and Baidu use machine learning to power their translation technology. While a human linguist could dictate all the rules for going from one language to another, that would be tedious, and yield poor results because a lot of languages aren't structured in parallel form. So instead, both companies have moved to pattern recognition through "neural machine translation." They take a mountain of data - really good translations - and load it into their computers. Algorithms then mine through the data to look for patterns. The end product is translation that's not just phrase-by-phrase, but entire thoughts and sentences at a time.
Not surprisingly, sometimes translations are successes, and other times, epic fails. Why? As Macduff Hughes, a Google executive, notes, "there's a lot more to translation than mapping one word to another. The cultural understanding is something that's hard to fully capture just in translation."
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.
Lera Boroditsky, cognitive science professor at UC San Diego notes, "...a growing body of research is documenting how experience with language radically restructures the brain. People who were deprived of access to language as children (e.g., deaf individuals without access to speakers of sign languages) show patterns of neural connectivity that are radically different from those with early language exposure and are cognitively different from peers who had early language access. The later in life that first exposure to language occurs, the more pronounced and cemented the consequences. Further, speakers of different languages develop different cognitive skills and predispositions, as shaped by the structures and patterns of their languages. Experience with languages in different modalities (e.g., spoken versus signed) also develops predictable differences in cognitive abilities outside the boundaries of language. For example, speakers of sign languages develop different visuospatial attention skills than those who only use spoken language. Exposure to written language also restructures the brain, even when acquired late in life. Even seemingly surface properties, such as writing direction (left-to-right or right-to-left), have profound consequences for how people attend to, imagine, and organize information.
The normal human brain that is the subject of study in neuroscience is a "languaged" brain. It has come to be the way it is through a personal history of language use within an individual's lifetime. It also actively and dynamically uses linguistic resources (the categories, constructions, and distinctions available in language) as it processes incoming information from across the senses.
While we may be punctuating less as a whole (a recent study found that only 39 percent of college students punctuate the end of texts and 45 percent the end of instant messages), the punctuation we do use is more likely to be scrutinized.
"Digital punctuation can carry more weight than traditional writing because it ends up conveying tone, rhythm and attitude rather than grammatical structure," said Ben Zimmer, a linguist and the executive editor of Vocabulary.com. "It can make even a lowly period become freighted with special significance."
The correct use of punctuation can really improve someone's opinion of you. The author of this piece decided to go out with someone based on their use of punctuation in a text message. The author also discusses how we have been conditioned to read certain punctuation marks and how they correlate to tone of voice in the text message. Punctuation marks are an important aspect of language that can help convey a meaning in a text.