A Robot’s Approach to Sentence Correction (Quick Reads)

A Robot's Approach to Sentence Correction

When preparing for the GMAT Verbal section, many candidates focus on improving their understanding of grammar concepts and spend less time practicing to identify the meaning behind sentence structure and words. Memorizing rules may help you to a certain extent, but only as far as the structure of the test allows. The GMAT is built in such a way that it aims to challenge candidates to use critical thinking in all of its sections. In fact, this unique aspect may be applied to reflect the strength of human intellect and what separates us from the limitations of advanced AI. Read the article summary below in which GMAT expert Ryan Jacobs reassures us of our competitive cognitive edge in solving Sentence Correction questions over a robot’s.

Helpful for: MBA and Master’s applicants

Read Time: 6 minutes

Quick Facts:

  • “Winograd Schema Challenge” is a machine intelligence test in multiple choice format which requires a robot to answer specific questions, or schemas, focusing on parts of speech, in order to identify its ability to apply knowledge and reasoning effectively. Consider the simple example Ryan gives, asking us what is big in the sentence, “The trophy would not fit in the brown suitcase because it was too big.” The answer “the trophy” might seem evident to a human, but to a robot it might instead be “the suitcase” or more general “it”. Ryan explains:

Selected Quote:

All the robot has is structure. It does not have meaning. Sure, the robot might know the dictionary, but true meaning comes from our seeing a combination of words never before encountered, yet still being able to construct a scenario that allows us to understand them.

  • What sets our brains apart from those of robots is our ability to dissect complex language and interpret connected words by constructing experimental scenarios. Developing the skill of using our imagination to elicit different contexts a word carries is crucial for excelling on the Verbal section of the GMAT, especially when answering Sentence Correction questions.

Useful Information:

  • Ryan estimates that a robot might be able to solve 60% of Sentence Correction questions However, the 40% left that could contribute to a great score, are questions which rely on meaning, not grammar.
  • Grammar rules are important to know, but they are also complex and often create arguments among linguists. When in doubt while answering GMAT Sentence Correction questions, focus on pinpointing exactly what the sentence is trying to convey.

Check Out: Sentence Correction is More than Just Grammar (Video)

Good luck in your academic journey, and make sure you register on PrepAdviser to stay updated about the latest information on preparing and applying to international MBA and Master’s programs!

Source: Manhattan Prep

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