考研英语一四川省巴中市平昌县2023年点睛提分卷Section I Use of EnglishDirections:Read the following text. Choose the best word(s) for each numbered blank and mark A, B, C or D on the ANSWER SHEET. (10 points)Grandma celebrated grandpas birthday just days before he passed away. Although his 1 was very difficult for her, I think it taught grandma that good health was not to be taken 2 , and she made up her mind to live the rest of her own life as 3 and as long as she could. One day, when she 4 to attend dancing lessons, we rolled our eyes in 5 and helplessly wished she would just stay home and 6 cookies as normal grandmothers did. Many years filled with countless dance lessons passed 7 we learned to appreciate the wonder of having a 8 grandma.I suppose grandmas primary motivation for dancing was social. She had been a 9 girl, always very tall and heavy, and had married into grandpas quiet lifestyle before 10 any elegance or confidence in her personal appearance. Dancing, 11 , filler her life with flash lights, wonderful parties, beautiful dresses, and the challenge of learning. 12 the weekly dance lessons did not change her ample, two-hundred-pound figure, grandma 13 everyone with energetic performances on the dance floor, 14 soon gave her as much elegance and confidence as any Miss American competitor.Having taken dance lessons for years, my grandma learned various dances 15 and was soon participating in dancing 16 all over the Northwest. When I was fourteen, grandma 17 invited me to watch her compete in one of these matches. My attitude was 18 unenthusiastic at that point, but to make her happy, my mother and I attended the match. As if to prove me wrong, grandma made a wonderful showing in every 19 she entered. I thought she was truly the queen of the ball during the dance, and my thoughts were shared by the 20 a short time later when she was awarded a gold cup for her outstanding performance.1、Asuffering Bbirthday Chealth Ddeath2、Afor sure Bfor fun Cfor granted Dseriously3、Afully Bpeacefully Cpitifully Dcarefully4、Apretended Bannounced Crefused Dmanaged5、Aagreement Bexcitement Cembarrassment Danger6、Asell Bbake Cbuy Dkeep7、Auntil Bsince Cunless Dbefore8、Aloving Bdancing Ccaring Dselfless9、Ahumorous Bshy Cdetermined Dmean10、Amanaging Blosing Cdeveloping Dfalling11、Aat most Bto be honest Cin a word Don the other hand12、AOnce BSince CBecause DAlthough13、Apersuaded Bsatisfied Csurprised Dconfused14、Awhat Bthat Cwhich Dit15、Aeasily Bbusily Chard Dawkwardly16、Aperformances Btrainings Cpractice Dmatches17、Aunwillingly Bincreasingly Cproudly Dsurprisingly18、Ahardly Beven Cstill Dfairly19、Aincident Bpoint Croom Devent20、Ajudges Bcompetitors Cdancers DaudiencesSection II Reading ComprehensionPart ADirections:Read the following four texts. Answer the questions below each text by choosing A, B, C or D. Mark your answers on the ANSWER SHEET. (40 points)Text 1News anchors(主播) must have been reluctant to read out the following news: Xin Xiaomeng began working as the worlds first female artificial(人工的) intelligence news anchor at Xinhua News Agency on Sunday, three months after a male robot joined the profession.Unlike previous news robots though, Xin does not read news like a cold machine; she reads it almost like a human being. The muscles on her face stretch and relax-and her reactions change-as she continues reading. Thats why many news anchors were worried: Will AI replace us in the near future?To find the answer, we have to analyse the technologies that support Xin at her job. Three key technologies are used to support Xin. First, samples of human voices are collected and synthesized (合成). This is followed by the collection and synthesis of human muscle movement samples. And third the voices and movements are married in a way that when the Al news anchor reads, the micro -electric motors behind her face move to make her expressions seem more human.Yet we need a thorough knowledge of deep leaning technology to make a robot imitate a persons voice. The developer needs to collect tens of thousands of pieces of pronunciations, input them Into the machine and match them with the text or the Al to lean and read. The process for imitating facial movements is similar. The developer has to analyse the movements of the 53 muscles in the human face, make a model set from the collected data for the AI news anchor to lean, and imitate the movements of facial muscles via programsBoth the technologies used to make Xins performance impressive are mature. The real difficulty lies in the third -the t