智能医学论文英语

据学术堂了解，在医学英语论文写作的过程中，主要应该注意论文的题目、摘要及引言三个部分。题目：概括性强、体现创新性、精炼题目写作注意事项：英文题目以短语为主要形式，尤以名词短语最常见，即题目基本上由一个或几个名词加上其前置和（或）后置定语构成，例如The fabrication of…短语型题目要确定好中心词，再进行前后修饰。各个词的顺序很重要，词序不当，会导致表达不准摘要：与结论不重复，体现整个文章的结论和思想，包括研究工作的目的、方法、结果和应用等摘要写作注意事项： 摘要是以提供文献内容梗概为目的，不加评论和补充解释，简明、确切地记述文献重要内容的短文。其基本要素包括研究目的、方法、结果和结论引言： 主要研究进展，有代表性的同行研究工作，自己与他人工作对比的优势和不足，前言的参考文献选取代表性的、重要的文献

Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Textbooks define the field as "the study and design of intelligent agents,"[1] where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.[5] This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity.[6] Artificial intelligence has been the subject of breathtaking optimism,[7] has suffered stunning setbacks[8] and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.[9]AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.[10] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[11] General intelligence (or "strong AI") is still a long-term goal of (some) research.[12]Thinking machines and artificial beings appear in Greek myths, such as Talos of Crete, the golden robots of Hephaestus and Pygmalion's Galatea.[13] Human likenesses believed to have intelligence were built in every major civilization: animated statues were worshipped in Egypt and Greece[14] and humanoid automatons were built by Yan Shi,[15] Hero of Alexandria,[16] Al-Jazari[17] and Wolfgang von Kempelen.[18] It was also widely believed that artificial beings had been created by Jābir ibn Hayyān,[19] Judah Loew[20] and Paracelsus.[21] By the 19th and 20th centuries, artificial beings had become a common feature in fiction, as in Mary Shelley's Frankenstein or Karel Čapek's . (Rossum's Universal Robots).[22] Pamela McCorduck argues that all of these are examples of an ancient urge, as she describes it, "to forge the gods".[6] Stories of these creatures and their fates discuss many of the same hopes, fears and ethical concerns that are presented by artificial problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. The traits described below have received the most attention.[11][edit] Deduction, reasoning, problem solvingEarly AI researchers developed algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions.[39] By the late 80s and 90s, AI research had also developed highly successful methods for dealing with uncertain or incomplete information, employing concepts from probability and economics.[40]For difficult problems, most of these algorithms can require enormous computational resources — most experience a "combinatorial explosion": the amount of memory or computer time required becomes astronomical when the problem goes beyond a certain size. The search for more efficient problem solving algorithms is a high priority for AI research.[41]Human beings solve most of their problems using fast, intuitive judgments rather than the conscious, step-by-step deduction that early AI research was able to model.[42] AI has made some progress at imitating this kind of "sub-symbolic" problem solving: embodied approaches emphasize the importance of sensorimotor skills to higher reasoning; neural net research attempts to simulate the structures inside human and animal brains that gives rise to this intelligenceMain articles: Strong AI and AI-completeMost researchers hope that their work will eventually be incorporated into a machine with general intelligence (known as strong AI), combining all the skills above and exceeding human abilities at most or all of them.[12] A few believe that anthropomorphic features like artificial consciousness or an artificial brain may be required for such a project.[74]Many of the problems above are considered AI-complete: to solve one problem, you must solve them all. For example, even a straightforward, specific task like machine translation requires that the machine follow the author's argument (reason), know what is being talked about (knowledge), and faithfully reproduce the author's intention (social intelligence). Machine translation, therefore, is believed to be AI-complete: it may require strong AI to be done as well as humans can do it.[75][edit] ApproachesThere is no established unifying theory or paradigm that guides AI research. Researchers disagree about many issues.[76] A few of the most long standing questions that have remained unanswered are these: should artificial intelligence simulate natural intelligence, by studying psychology or neurology? Or is human biology as irrelevant to AI research as bird biology is to aeronautical engineering?[77] Can intelligent behavior be described using simple, elegant principles (such as logic or optimization)? Or does it necessarily require solving a large number of completely unrelated problems?[78] Can intelligence be reproduced using high-level symbols, similar to words and ideas? Or does it require "sub-symbolic" processing?[79][edit] Cybernetics and brain simulationMain articles: Cybernetics and Computational neuroscience There is no consensus on how closely the brain should be the 1940s and 1950s, a number of researchers explored the connection between neurology, information theory, and cybernetics. Some of them built machines that used electronic networks to exhibit rudimentary intelligence, such as W. Grey Walter's turtles and the Johns Hopkins Beast. Many of these researchers gathered for meetings of the Teleological Society at Princeton University and the Ratio Club in England.[24] By 1960, this approach was largely abandoned, although elements of it would be revived in the can one determine if an agent is intelligent? In 1950, Alan Turing proposed a general procedure to test the intelligence of an agent now known as the Turing test. This procedure allows almost all the major problems of artificial intelligence to be tested. However, it is a very difficult challenge and at present all agents intelligence can also be evaluated on specific problems such as small problems in chemistry, hand-writing recognition and game-playing. Such tests have been termed subject matter expert Turing tests. Smaller problems provide more achievable goals and there are an ever-increasing number of positive broad classes of outcome for an AI test are:Optimal: it is not possible to perform better Strong super-human: performs better than all humans Super-human: performs better than most humans Sub-human: performs worse than most humans For example, performance at draughts is optimal,[143] performance at chess is super-human and nearing strong super-human,[144] and performance at many everyday tasks performed by humans is quite different approach is based on measuring machine intelligence through tests which are developed from mathematical definitions of intelligence. Examples of this kind of tests start in the late nineties devising intelligence tests using notions from Kolmogorov Complexity and compression [145] [146]. Similar definitions of machine intelligence have been put forward by Marcus Hutter in his book Universal Artificial Intelligence (Springer 2005), which was further developed by Legg and Hutter [147]. Mathematical definitions have, as one advantage, that they could be applied to nonhuman intelligences and in the absence of human is a common topic in both science fiction and in projections about the future of technology and society. The existence of an artificial intelligence that rivals human intelligence raises difficult ethical issues and the potential power of the technology inspires both hopes and Shelley's Frankenstein,[160] considers a key issue in the ethics of artificial intelligence: if a machine can be created that has intelligence, could it also feel? If it can feel, does it have the same rights as a human being? The idea also appears in modern science fiction: the film Artificial Intelligence: . considers a machine in the form of a small boy which has been given the ability to feel human emotions, including, tragically, the capacity to suffer. This issue, now known as "robot rights", is currently being considered by, for example, California's Institute for the Future,[161] although many critics believe that the discussion is premature.[162]Another issue explored by both science fiction writers and futurists is the impact of artificial intelligence on society. In fiction, AI has appeared as a servant (R2D2 in Star Wars), a law enforcer (. "Knight Rider"), a comrade (Lt. Commander Data in Star Trek), a conqueror (The Matrix), a dictator (With Folded Hands), an exterminator (Terminator, Battlestar Galactica), an extension to human abilities (Ghost in the Shell) and the saviour of the human race (R. Daneel Olivaw in the Foundation Series). Academic sources have considered such consequences as: a decreased demand for human labor,[163] the enhancement of human ability or experience,[164] and a need for redefinition of human identity and basic values.[165]Several futurists argue that artificial intelligence will transcend the limits of progress and fundamentally transform humanity. Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in digital technology with uncanny accuracy) to calculate that desktop computers will have the same processing power as human brains by the year 2029, and that by 2045 artificial intelligence will reach a point where it is able to improve itself at a rate that far exceeds anything conceivable in the past, a scenario that science fiction writer Vernor Vinge named the "technological singularity".[164] Edward Fredkin argues that "artificial intelligence is the next stage in evolution,"[166] an idea first proposed by Samuel Butler's "Darwin among the Machines" (1863), and expanded upon by George Dyson in his book of the same name in 1998. Several futurists and science fiction writers have predicted that human beings and machines will merge in the future into cyborgs that are more capable and powerful than either. This idea, called transhumanism, which has roots in Aldous Huxley and Robert Ettinger, is now associated with robot designer Hans Moravec, cyberneticist Kevin Warwick and inventor Ray Kurzweil.[164] Transhumanism has been illustrated in fiction as well, for example in the manga Ghost in the Shell and the science fiction series Dune. Pamela McCorduck writes that these scenarios are expressions of the ancient human desire to, as she calls it, "forge the gods."[6]

你可以去创新医学网上看看，而且还有翻译服务。

【关键词】  医学英语论文； 标题写作； 修辞原则； 策略Abstract：As an important component part of a medical research paper，the English title plays a crucial role in promoting international academic exchanges. Its main functions are to summarize and reveal the subject, guide reading, and to be used for storage and retrieval. This paper mainly investigates the strategies of title writing for medical English research paper and presents four principles：focuse on subject，be accurate，be concise，be words： Medical English research paper;   Title writing;   Rhetorical principle;   Strategy人们读书看报，首先要看的是标题，题目常常能概括地反应文章的内容。题目取得好，简练又吸引人，才会引起读者的兴趣。标题“居文之首，句文之要”，被人们比喻为文章的眼睛。标题在学术论文中同样起着至关重要的作用。随着经济全球化的发展，医学界国际交流活动日趋频繁，在交流活动中起主导作用的学术期刊更加“规范化、标准化”，国内越来越多刊物须附英文标题和摘要。因此，学术论文的标题英译也越来越重要。医学论文题名具有高度概括集中反映文献主题的功能，指导读者查找文献资料的导读功能和信息储存提供编制文献检索的功能［1］。本文主要探讨医学论文英文标题写作中应遵循的主要修辞原则及表达策略，以期更好地发挥学术论文标题的功能，促进学术交流。1  突出主题原则及修辞策略    题名是论文最重要的、浓缩的信息点，是读者最先得到的直接信息，即文章的主要观点和主要论点。因此，标题应简明扼要、重点突出、反映论文主题。根据国际医学期刊编辑委员会制定的《生物医学期刊投稿的统一要求》中对文题的要求：简练和反映论文主题，英文标题应切题准确，反映文章的中心内容，便于索引，利于论文广泛流通。    好的标题不仅能起到“画龙点睛”的作用，还可以提高论文索引的利用价值。通常读者总是先浏览期刊的文章标题，在对其感兴趣后才会通读全文。因此，在标题英译时，应从以下两个方面注意修辞策略：    在信息传递上，要充分反映论文的创新内容，重要内容前置，突出中心；准确使用题名的必要结构要素来完整表达医学文献主题，在医学论文中最常见的结构类型是由研究对象、研究目的和研究方法三要素组成的题名。在表达方式上，多用名词、名词词组、动名词来表达。文字安排应结构合理、选词准确、详略得当，重要的词放在文题的起始，如association, application, determination，effect，detection，establishment等词所引导的短语都是研究的中心内容。2  准确规范原则及修辞策略    准确是修辞的基本原则，也是翻译必须遵循的原则。科技文体写作更应遵循这一原则，因为学术研究特别强调准确，不能模糊不清、模棱两可。措辞准确、表达客观、逻辑严密、行文简洁、词义明确、含义固定是科技文体所共有的文体特征［2］。医学英语除了具备以上特征外，它还有大量的专业词汇、术语以及特定的词汇结构体系、语法规则和语篇结构。因此，在医学论文题名写作时语言表达要合乎医学论文写作的规范标准。论文标题英译要在正确理解原文的基础上进行，必须忠实地传达原文的内容，保持原文的风格。具体可采取以下方法：    首先，格式要求规范。标题译文可采用首字母大写，其余的用小写（首字母缩略词全大写，专有名词的首字母大写）；也可采用标题首字母大写，其余实词首字母大写，虚词小写(4个字母以上的介词或连词的首字母大写)；排列时可根据具体学术期刊的规范分别采用居中排与左对齐的方式；书名应用斜体表示。    其次，选词应强调专业化。与其它学科的英语术语相比，医学英语术语特征相对明显，专业化是医学英语的一大特色。因此，熟知医学英语术语，选择专业词汇，避免使用通俗语是医学工作者治学严谨的表现。例如，“先天性皮肤并指畸形” 应译为“syndactyly of fingers”而不是“congenital skin webbed fingers”；“大黄”“丹参”分别为“Rhubarb”和 “Salvia miltiorrhiza”，而不是“Da Hunag” 和“Dan Shen”。另一方面，科技英语用词强调词义单一、准确，忌用多义词。根据科技英语的这一修辞特点，在英译时应用词义明确单一的词来代替词义较多的词，如用to transmit, to convert, to obtain, to insert, to consume, to absorb, application, sufficient, superior来替代常用的to send, to change, to get, to put in, to use up, to take in, use, enough, better。    此外，用词要准确。注意不使用非标准化的缩略语，应使用公认的缩略词语、代号、符号、公式等。国际上《核心医学期刊文摘》中，对缩写词的使用非常谨慎，对非公认的缩略词语，第一次出现必须先写全名，缩写附后加括号。如丙型肝炎病人：hepatitis C virus (HCV)，维甲酸：all-trans retinoic acid (ATRA)。    语言的习惯搭配也是医学论文英语标题写作特征的一种重要表现形式。在英语中，有相当数量的动词、名词、形容词都有其固定的介词搭配，在使用此类词语时一定要多加注意，以避免错误。医学英语标题多采用逻辑动宾关系的名词性组合形式，常见的搭配如：patients with, cases of, operation on, cure for, response to, effect on, research in/into/on, approach to, observation(s) of/on/in, treatment of等等。下面的标题译文很好地说明了正确使用介词搭配能有助于准确明了地反映论文的主题。    例： The acupuncture effect on left ventricular function in patients with coronary heart disease and angina pectoris （针疗对冠心病心绞痛患者左心功能状态的影响）    “影响”为中心词，但它在文中的意思为“疗效”，因为“针疗”是一种治疗疾病的方法，“针疗的疗效”可译为“acupuncture effect (on)”。“左心功能状态”是表类属的定语，应紧跟“影响”。“患者patients (with)”修饰“左心功能状态”，“冠心病心绞痛”修饰“患者”。层层修饰关系在译文中均以介词表示，译文准确而明晰。［3］3  简明有效原则及修辞策略    好的标题应是高度概括、言简意赅、便于检索。在完整、准确地概括全文内容的基础上，用尽量少的文字恰当反映所研究的范围和深度，不可夸大其词，以偏概全，也不可缩小研究范围，以偏代全。做到简明有效主要从以下两个方面着手：    在信息处理上，遵循科技写作中语言运用的最小信息差原则以谋求语言运用的最大信息量的输出和最佳交际效果，即“作者应该写的都能写出来，读者对作者所表达的意思都能读明白”［4］。    在选词用语上，文题力求语言精炼，中心词突出，一般在10个单词以内，通常不超过16个单词。标题起始处的冠词“A”“The”可以省略，但文题中间的“the”不能省。采用短语翻译题名，医学论文英语标题采取的主要短语结构有：名词+动词不定式；名词或名词短语+过去分词；现在分词短语；介词短语结构；名词或名词短语+介词短语；以动词形式开始的短语结构等。以短语形式来表达一个句子,结构言简意赅,内部组织严密,而且可以把更多的信息融于一体,使彼此的逻辑关系更明确,表达更细密,更有利于达到交际目的。    由于医学英语要求客观和精确，一些旨在加强语言感染力和宣传效果的修辞格不常见。但是，医学英语强调注重有效的语法和词汇修辞，如英语讲求结构平行对称。论文标题中并列的内容，应注意到语法结构上的对称，即名词与名词并列，动名词与动名词并列，不要混杂使用。例如：The Role of Arthroscopy in Diagnosing and the Treatment of Joint Diseases in Children（关节镜在儿童关节疾病诊治中的作用）宜改为：The Role of Arthroscopy in the Diagnosis and Treatment of Joint Diseases in Children。修改后两个动名词并列，既简化了文字，符合修辞原则，而且还更为醒目。平行结构的使用可以增强修辞效果，不仅使主题更加突出，而且还富有美感，引起读者兴趣。请看下面两个例子：例1：“Clinical, physiological, and radiological study of a new purpose-designed artificial bowel sphincter”例2：“Socioeconomic status，standard of living，and neurotic disorder”例1中3个形容词平行排列加强了语音的节奏感，也明确了与中心词的修饰关系，既美观又醒目；例2中的3个并列名词短语排列有序、结构工整、逻辑关系明确，读者能很快抓住论文的中心。4  得体原则及修辞策略    一个修辞行为的有效性，还取决于它是否合乎语体的规范，是否符合言语交际环境的规定，是否符合社会交往的礼仪，是否符合文化的习俗，是否符合双方的审美倾向。［5］如用戏曲语体撰写科技论文是不得体的。科技论文的行文要符合科技文体的特点，保持文体的严肃性，是为得体。医学论文的英语题名写作与翻译要求标题与论文的内容协调一致，包括风格的一致，语言表达应符合英语习惯。因此，在医学论文标题英译时，要考虑其语法、修辞特点，尽可能体现出英语的固有风格，避免中式英语的弊病。下面介绍几种表达得体的主要修辞策略。    英文标题的写作可以不拘一格，但应突出主题，服从英语的表达习惯，避免使用中国式的英语表达形式。比如，汉语医学论文标题中常常出现“初探”、“探讨”、“经验”、“体会”等词以示谦逊，而在国外的医学刊物中使用带有“浅谈”“初探”这类句式的题名会被认为所论述的内容没有多大参考价值，缺乏严肃性。这是因为欧美人认为科技论文应立足于事实材料，不必谦虚客套。    汉语论文主标题与副标题之间一般用破折号，而英文的主标题与副标题之间通常用冒号表示。病例数在汉语中一般放在正标题中，在英语中大多放在副标题中，如：Post transfusion hepatitis: A report of 60 cases （输血后肝炎60例报告）。    由于受汉语语法的限制和语言习惯的影响，在中文标题中常含有“……的研究”和“……的观察”等词语，题名英译时应省略“Regarding …”、“Observation(s) of …”、“Investigation of …”、“Studies on …”、“Research(es) on …”、“Some thoughts on …”、“Introduction to …”等冗余套语，使之更简洁且符合英语的表达习惯。    名词化结构较多地使用抽象名词表达动作和状态，这也是英语表达和汉语表达上的主要差别之一。在汉语中用行为动词表达的意思在英语中多转换为名词。英汉语的用词顺序有很大的不同。在汉语中，定语置于中心词之前，而在英语中，“中心词+后置定语”的结构应用非常广泛。例如：葡萄糖在体外和体内对神经细胞瘤的疗效：Effect of Glucose on Neuroblastoma in Vitro and in Vivo；心脏病患者肌酐激酶同功酶的测定：Detection of Creatine Kinase Isoenzymes Inheart Disease；严重脑外伤患者大断面骨折接骨时间选择：Timing of Osteosynthesis of Major Fracture in Patients with Severe Brain Injury。    总之，标题在论文中起着至关重要的作用。论文的标题应能准确地概括论文的内容，提纲挈领、点明主题、吸引读者、便于检索。要写好译好英文标题，作者不仅要有严谨的治学态度，还要掌握专业英语知识，熟悉医学英语文体的写作特点，熟记常用的句式结构及英语习惯表达方法，在正确理解论文主旨的基础上，力求重点突出，行文准确、规范、简洁、得体。