人教版2.完形填空能力提升演练-高考英语复习讲义+分层训练.docx

【高频考点解密】2023年高考英语二轮复****讲义+分层训练（全国通用）
12.完形填空题型解答策略
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Mind-reading AI turns thoughts into words using a brain implant
An artificial intelligence can accurately translate thoughts into sentences, at least for a limited vocabulary of 250 words. The system may bring us a step closer to ____1____ speech to people who have lost the ability because of paralysis.
Joseph Makin at the University of California, San Francisco, and his colleagues used deep learning algorithms to study the brain ____2____ of four women as they spoke. The women, who all have epilepsy, already had electrodes attached to their brains to ____3____ seizures. Each woman was asked to read aloud from a set of sentences as the team measured brain activity. The largest group of sentences ____4____ 250 unique words.
The team fed this brain activity to a neural network algorithm, training it to identify regularly ____5____ patterns that could be linked to repeated aspects of speech, such as vowels or consonants. These patterns were then fed to a second neural network, which tried to turn them into words to ____6____ a sentence.
Each woman repeated the sentences at least twice, and the final repetition didn’t form part of the training data, ____7____ the researchers to test the system. Each time a person speaks the same sentence, the brain activity associated will be similar but not identical. “Memorising the brain activity of the these sentences wouldn’t help, so the network instead has to learn what’s similar about them so that it can generalise to this final example,” says Makin. Across the four women, the AI’s best ____8____ was an average translation error rate of 3 percent.
Makin says that using a small number of sentences made it easier for the AI to learn which words tend to follow others. For example, the AI was able to decode that the word “Turner” was always likely to follow the word “Tina” in this set of sentences, from brain ____9____ alone.
The team tried decoding the brain signal da