标签：mining language intelligence artificial 复试 头大 technology data 考研
前言：
本人所考学校往年的英文文献翻译主要涉及：数据挖掘，人工智能，深度学习，5G网络，SQL定义，编译器
本人在半吊子练习过程中，把我读的一些些比较好用来练习的文献摘要和相关知识（仅提供英文）做了汇总。（持续更新到复试前，做一名合格的半吊子，恩！）
如果你想突击（当然这是不切实际的），这篇博文谨献给给那些和我一样不知道怎么准备这玩意又想找个心里安慰的考研党们一个心灵的依靠；
如果你想踏踏实实练习，就必须至少提前一个月每天上外刊读英文文献哦！
如果你是英文大佬，就看个好玩吧o( * ￣︶￣ * )o
Anyway，如果对你有用就可以点个赞哦，xiexie~
专题目录
数据挖掘（Data Mining）
NO.1：
In the current era of big data, the mining and analysis of massive data is particularly important. Data mining technology has been widely applied in the fields of media, finance, medical care, transportation and e-commerce.However, the complexity and diversity of big data and the particularity of the application of data mining technology in various industries have also put forward new theoretical and technical challenges in the field of data mining.
NO.2：
Era of big data for the data mining technology has brought more opportunities and problems, such as the big data content for more efficient data mining algorithm and the accumulation of large data more quickness requirement of real-time data mining algorithms, the complexity of the large data diversity requires more flexible data mining algorithm, the universality of big data in all walks of life to the particularity in the field of data mining algorithm, etc.,?This also presents a new demand for data mining.
人工智能（Artificial Intelligence）
NO.1：
From AlphaGo to unmanned driving, from speech recognition to face recognition, artificial intelligence has become one of the most important technologies in the modern era. Artificial intelligence technology has been widely used in scientific discovery, economic construction, social life and other fields.Artificial intelligence research and development has been promoted to the national strategic level. With the continuous development of information technologies such as big data, cloud computing and Internet of things, artificial intelligence research is facing new challenges in theory, method and application.
NO.2：
In recent years, the rapid development of artificial intelligence technology makes its application expand rapidly. However, the traditional computer architecture has many shortcomings in processing speed, energy consumption and convenience of use for the application of artificial intelligence.With the development of the application of artificial intelligence, the architecture oriented to artificial intelligence has become an important direction in the research and development of architecture.
深度学习（Deep Learning）
NO.1：
Deep learning has achieved a lot in search technology, data mining, machine learning, machine translation, natural language processing, multimedia learning, voice, recommendation and personalization, and other related fields.Deep learning enables machines to imitate human activities such as audiovisual and thinking, solves many complex pattern recognition problems, and makes great progress in related technologies of artificial intelligence.
5G网络（5G）
NO.1：
The 5th generation mobile communication technology is the latest generation of cellular/ˈseljələ®/ mobile communication technology, which is also an extension of 4G , 3G and 2G systems. 5G’s performance goals are high data rates, reduced latency, energy savings, reduced costs, increased system capacity, and large-scale device connectivity.
SQL定义
NO.1：
Structured Query Language is a special purpose programming Language, a database Query and programming Language for accessing data and querying, updating, and managing relational database systems.
NO.2：
SQL can be divided into three functional parts: data definition, data manipulation and data control.The core of SQL is equivalent to relational algebra, but it has many features that relational algebra does not, such as aggregation, database update, and so on.It is a comprehensive, universal, and highly functional relational database language.
编译器（Compiler）
NO.1：
A compiler is a program that translates “one language (usually a high-level language)” into "another language (usually a low-level language)."Advanced computer languages are easy to write, read, communicate, and maintain.Machine language is something that a computer can read and run directly.The compiler takes an assembly or high-level computer language source program as input and translates it into the equivalent of the machine code in the target language.
PS：在这里悄咪咪的说（些安慰自己的话，希望可以安慰到泥萌嘻嘻）：
我觉得英文文献翻译在口语中的侧重点就是看英语基本功（考察你读文献的能力），看看专业词汇认不认识啊，从句啊语法认不认识啊~，其实也不用太紧张叭！
标签：mining,language,intelligence,artificial,复试,头大,technology,data,考研 来源： https://blog.csdn.net/zsheng_/article/details/105805497
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。