People think of black English as ungrammatical, but it bears the same relationship to standard English as contemporary Hebrew does to ancient Hebrew.
John McwhorterRead
People banging away on their smartphones are fluently using a code separate from the one they use in actual writing, but a code it is, to which linguists are currently devoting articles.
Interpretation
The quote highlights the distinct language and communication style that people use while texting and engaging on smartphones, which differs from formal writing.
John McWhorter emphasizes that the way individuals communicate on smartphones has developed its own set of linguistic rules and codes. This evolution reflects the unique nature of digital communication, as it diverges from traditional writing standards, prompting linguists to study this new form of language as a legitimate linguistic phenomenon.
In practice
In a discussion on modern communication, you could quote McWhorter to illustrate how texting has created its own language.
People think of black English as ungrammatical, but it bears the same relationship to standard English as contemporary Hebrew does to ancient Hebrew.
People have been warning us that language was going to the dogs ever since Latin started turning into French. Yet the dogs in question never seem to emerge yelping on the horizon.
It would be good if teachers could genuinely understand that black English is not mistakes, it's just different English, and that what you want to do is add an additional dialect to black students' repertoire rather than teaching them out of what's thought of as a bad habit, like sloppy posture or chewing with your mouth open.
Apps or media who make money on advertising are never satisfied with 'enough' of your attention. They will always fight for more.
The critical question is: How do we ensure that the Internet develops in a way that is compatible with democracy?
There will come a time when it isn't 'They're spying on me through my phone' anymore. Eventually, it will be 'My phone is spying on me'.
Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.
The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
The key questions will be: Are you good at working with intelligent machines or not? Are your skills a complement to the skills of the computer, or is the computer doing better without you? Worst of all, are you competing against the computer?
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