重庆八中高2020级高三下第四次月考英语试题及答案
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重庆八中高2020级高三(下)第4次月考
英语试题
第二部分阅读理解(共两节,满分40分)
第一节(共15小题;每小题2分,满分30分)
阅读下列短文,从每题所给的四个选项(A、B、C和D)中,选出最佳选项,并在答题卡上将该选项涂黑。
A
Language Engineer Wanted
Are you a linguist(语言学家)with technical skills? Or are you an engineer with a passion for(human)languages? Come work on Alexa! We're building the speech and language solutions behind Amazon Echo and other Amazon products and services. Our goal is to delight our customers by adding new features to Alexa. We also improve our existing speech recognition and natural language processing systems.
Specifically, you will:
●design the natural language processing components of new Alexa experiences and features;
●discover and solve production issues that are impacting the Alexa customer experience;
●work with other language engineers in creating the best solutions to improve customer satisfaction.
Basic qualifications:
●Bachelor's degree in a relevant field
●Experience in computational linguistics(计算语言学), language data processing, etc.
●Experience working with speech and text language data in several languages
●Experience in Python, Perl, or other programming languages
Primary qualifications:
●Advanced degree in a relevant field
●Familiarity with database queries(数据库查询)and data analysis processes
●Experience with statistical language modeling
●Fluency in a language other than English
Application instructions:
Please click"Apply Now"and follow our online application process
Deadline: September 30, 11:59 p.m., Eastern Daylight Time(EDT). We highly recommend that candidates submit résumés up to two weeks in advance of the deadline. Submitting on the deadline day is NOT recommended,and applications received late will not be accepted.
You must submit the name of your résuméin this exact format:
LastName_FirstName_CV_LanguageEngineer
21. What does a language engineer do? ()
A. Build speech and language solutions for Google
B Work with linguists to improve customer satisfaction.
C. Add new features to Alexa to satisfy the customers'needs.
D. Invent speech recognition and natural language processing systems
22. What kind of person would probably apply for the position? ()
A. One with a bachelor's degree in literature
B. One familiar with data analysis processes
C. One fluent in spoken and written English.
D. One with years'of experience in customer service.
23. Where is the passage most likely to be found? ()
A. A webpage.
B. A newspaper.
C. A textbook.
D. A report.
B
My father died when I was nine, and I remember doing the household chores(杂务)to help my mother. I hated changing the vacuum cleaner(真空吸尘器)bag and picking up things the machine did not suck up.
Twenty years later, in 1978, I was doing chores at home alongside my wife. One day the vacuum cleaner was screaming away, and I had to empty the bag because I could not find a replacement for it. With this lifelong hatred of the way the machine worked. I decided to make a bagless vacuum cleaner.
Easier said than done, of course. I didn't realize that I would spend the next five years perfecting my design, a process that resulted in 5,127 different prototypes(设计原型). By the time I made my 15th prototype, my third child was born. By 2,627, my wife and I were really counting our pennies. By 3,727, my wife was giving art lessons for some extra cash, and we were getting further and further into debt. These were tough times, but each failure brought me closer to solving the problem.
I just had a passion for the vacuum cleaner as a product, but I never thought of going into a business with it. In the early 1980s, I started trying to get licensing agreements for my technology. The reality was very different, however. The major vacuum makers had built a business model based on the profits from bags and filters(滤网).
No one would license my idea, not because it was a bad one, but because it was bad for business.