I find it super interesting that children develop from not
distinguishing these words and patterns to accepting them as having entirely
different meanings. I would like to look into more research on how this
development takes place. This information could theoretically help develop
artificially intelligent beings. We could start simple and create a program
that does not distinguish these terms. Then, we could try to implement learning
into the program and make the machine smarter. Learning would model a child’s
brain and hopefully develop its own learning skills to understand language as,
and no more than, humans do. Even if not for machine learning, a better
understanding of development would help developers create a better functioning
device that communicates well with humans.
Sunday, November 13, 2016
Developing language – should tech learn as kids learn?
In the readings this week we learned about how children
comprehend phrases differently. Studies the acquisition of scalar implicature
occurs later in life, leaving children with these different understandings of
phrases. Scalar implicature occurs in four phases. The first phase usually
works the same for both children and adults in that we often come up with the
same literal meaning. However, children differ in the final three stages by
generating different or fewer alternate sentences, restricting different or
fewer alternatives that are not as informative, and not strengthening their
interpretations. Some examples of how children interpret things differently
include how they interpret sentences using ‘and’ and ‘or,’ ‘must’ and ‘might,’ and
‘all’ and ‘some.’ The lines between these blur when children respond to
questions using these words. They will treat ‘or’ as ‘and’ and will accept ‘some’
as a descriptor when ‘all’ is more accurate. However, adults use counterfactual
theories for pragmatic inference when they do not have enough information. This
(lack of information) often balances out the differences between children and
adult understanding. Possessing a feature is determined to be less common than
not possessing a feature so adults will counter choosing some photos when asked
which a phrase describes.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment