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(Image: PhonlamaiPhoto, Getty Images/iStockphoto)
When a child is learning to speak, no one bothers explaining the difference between subjects and verbs, or where they fall in a sentence. That is, however, how humans teach computers to understand language: We annotate sentences to describe the structure and meaning of words, and then we use those sentences to train syntactic and semantic parsers. These parsers help voice-recognition systems like Amazon’s Alexa understand natural language. It’s a time-consuming process and one that’s especially difficult for less common languages.
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