A Review on Empirical Studies of Affix Acquisition

合集下载

副标题英译中的常见问题及对策

副标题英译中的常见问题及对策

副标题英译中的常见问题及对策——以《上海翻译》、《中国翻译》等期刊为例系别:外语系班级:06英语(1)班姓名:卢春华学号:20060311126任课教师:魏志成(老师)2008年12月25日副标题英译中的常见问题及对策——以《上海翻译》、《中国翻译》等期刊为例【摘要】运用调查和分析的手段,指出当前国内期刊在处理带有副标题的文章标题时常用的方法及一些常见错误,并提出一些建议。

【关键词】副标题;正标题;硬译;误译;直译;揉合一般说来,副标题是为了用来强调文章的重点而提出问题、举例等。

这一类标题中,正标题用词精练,但比较空泛和抽象,只好借助副标题来提出实质性内容,突出文章主题。

副标题的英译不是一件容易的事,目前对文章副标题的英译已有不少专门论述,我们从中可以借鉴许多有用的原则和技巧,但却未能做到有章可循。

作为对文章正标题的有益补充和进一步解释的文章副标题的英译是否有规律可循呢?带着这个问题,作者对国内的知名期刊进行抽样调查和分析。

寄望于为文章副标题翻译提供参考性规范,对以后文章副标题的英译工作有所帮助。

1. 副标题英译中的常见问题1.1 硬译例1:清正廉洁以民为本—清代名臣陆陇其政绩评述原译:Being Upright and Honest People-Foundation of the Country: Comment on Noted Official LuLongqi and Accomplishments in the Qing Dynasty汉语文章惯用比较空泛而抽象的评介性标题,再以带破折号的副标题提出实质性内容,但英译时,决不可“照本宣科”。

此句中副标题用“政绩评述”概括了一代名臣陆陇其在清代任嘉定、灵寿两邑县令时的“勤政自励,清廉为先,以民为本,减免税赋,崇尚教化和移风易俗”的伟大思想和主政功绩这一主题线索,反映了文章的实质内容。

原译将内容“空泛而抽象”的正标题照本直译,既不符合英文标题的“美感功能”,又难以让译文读者“窥一斑而知全豹”。

[美]R·格伦·哈伯德《宏观经济学》R.GlennHubbard,AnthonyP

[美]R·格伦·哈伯德《宏观经济学》R.GlennHubbard,AnthonyP

Macroeconomics R. GLENN HUBBARD COLUMBIA UNIVERSITY ANTHONY PATRICK O’BRIEN LEHIGH UNIVERSITY MATTHEW RAFFERTY QUINNIPIAC UNIVERSITY Boston Columbus Indianapolis New York San Francisco Upper Saddle RiverAmsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi Mexico City So Paulo Sydney Hong Kong Seoul Singapore Taipei TokyoAbout the AuthorsGlenn Hubbard Professor Researcher and Policymaker R. Glenn Hubbard is the dean and Russell L. Carson Professor of Finance and Economics in the Graduate School of Business at Columbia University and professor of economics in Columbia’s Faculty of Arts and Sciences. He is also a research associate of the National Bureau of Economic Research and a director of Automatic Data Processing Black Rock Closed- End Funds KKR Financial Corporation and MetLife. Professor Hubbard received his Ph.D. in economics from Harvard University in 1983. From 2001 to 2003 he served as chairman of the White House Council of Economic Advisers and chairman of the OECD Economy Policy Commit- tee and from 1991 to 1993 he was deputy assistant secretary of the U.S. Treasury Department. He currently serves as co-chair of the nonpar-tisan Committee on Capital Markets Regulation and the Corporate Boards Study Group. ProfessorHubbard is the author of more than 100 articles in leading journals including American EconomicReview Brookings Papers on Economic Activity Journal of Finance Journal of Financial EconomicsJournal of Money Credit and Banking Journal of Political Economy Journal of Public EconomicsQuarterly Journal of Economics RAND Journal of Economics and Review of Economics and Statistics.Tony O’Brien Award-Winning Professor and Researcher Anthony Patrick O’Brien is a professor of economics at Lehigh University. He received a Ph.D. from the University of California Berkeley in 1987. He has taught principles of economics money and banking and interme- diate macroeconomics for more than 20 years in both large sections and small honors classes. He received the Lehigh University Award for Distin- guished Teaching. He was formerly the director of the Diamond Center for Economic Education and was named a Dana Foundation Faculty Fel- low and Lehigh Class of 1961 Professor of Economics. He has been a visit- ing professor at the University of California Santa Barbara and Carnegie Mellon University. Professor O’Brien’s research has dealt with such issues as the evolution of the U.S. automobile industry sources of U.S. economiccompetitiveness the development of U.S. trade policy the causes of the Great Depression and thecauses of black–white income differences. His research has been published in leading journals in-cluding American Economic Review Quarterly Journal of Economics Journal of Money Credit andBanking Industrial Relations Journal of Economic History Explorations in Economic History andJournal of PolicyHistory.Matthew Rafferty Professor and Researcher Matthew Christopher Rafferty is a professor of economics and department chairperson at Quinnipiac University. He has also been a visiting professor at Union College. He received a Ph.D. from the University of California Davis in 1997 and has taught intermediate macroeconomics for 15 years in both large and small sections. Professor Rafferty’s research has f ocused on university and firm-financed research and development activities. In particular he is interested in understanding how corporate governance and equity compensation influence firm research and development. His research has been published in leading journals including the Journal of Financial and Quantitative Analysis Journal of Corporate Finance Research Policy and the Southern Economic Journal. He has worked as a consultantfor theConnecticut Petroleum Council on issues before the Connecticut state legislature. He has alsowritten op-ed pieces that have appeared in several newspapers including the New York Times. iii Brief Contents Part 1: Introduction Chapter 1 The Long and Short of Macroeconomics 1 Chapter 2 Measuring the Macroeconomy 23 Chapter 3 The Financial System 59 Part 2: Macroeconomics in the Long Run: Economic Growth Chapter 4 Determining Aggregate Production 105 Chapter 5 Long-Run Economic Growth 143 Chapter 6 Money and Inflation 188 Chapter 7 The Labor Market 231 Part 3: Macroeconomics in the Short Run: Theory and Policy Chapter 8 Business Cycles 271 Chapter 9 IS–MP: A Short-Run Macroeconomic Model 302 Chapter 10 Monetary Policy in the Short Run 363 Chapter 11 Fiscal Policy in the Short Run 407 Chapter 12 Aggregate Demand Aggregate Supply and Monetary Policy 448 Part 4: Extensions Chapter 13 Fiscal Policy and the Government Budget in the Long Run 486 Chapter 14 Consumption and Investment 521 Chapter 15 The Balance of Payments Exchange Rates and Macroeconomic Policy 559 Glossary G-1 Index I-1ivContentsChapter 1 The Long and Short of Macroeconomics 1WHEN YOU ENTER THE JOB MARKET CAN MATTER A LOT ........................................................ 11.1 What Macroeconomics Is About........................................................................... 2 Macroeconomics in the Short Run and in the Long Run .................................................... 2 Long-Run Growth in the United States ............................................................................. 3 Some Countries Have Not Experienced Significant Long-Run Growth ............................... 4 Aging Populations Pose a Challenge to Governments Around the World .......................... 5 Unemployment in the United States ................................................................................. 6 How Unemployment Rates Differ Across Developed Countries ......................................... 7 Inflation Rates Fluctuate Over Time and Across Countries................................................. 7 Econo mic Policy Can Help Stabilize the Economy .. (8)International Factors Have Become Increasingly Important in Explaining Macroeconomic Events................................................................................. 91.2 How Economists Think About Macroeconomics ............................................. 11 What Is the Best Way to Analyze Macroeconomic Issues .............................................. 11 Macroeconomic Models.................................................................................................. 12Solved Problem 1.2: Do Rising Imports Lead to a Permanent Reductionin U.S. Employment. (12)Assumptions Endogenous Variables and Exogenous Variables in EconomicModels ........................................................................................................ 13 Forming and Testing Hypotheses in Economic Models .................................................... 14Making the Connection: What Do People Know About Macroeconomicsand How Do They KnowIt .............................................................................................. 151.3 Key Issues and Questions of Macroeconomics ............................................... 16An Inside Look: Will Consumer Spending Nudge Employers to Hire................................ 18Chapter Summary and Problems ............................................................................. 20 Key Terms and Concepts Review Questions Problems and Applications Data Exercise Theseend-of-chapter resource materials repeat in all chapters.Chapter 2 Measuring the Macroeconomy 23HOW DO WE KNOW WHEN WE ARE IN ARECESSION ........................................................... 23Key Issue andQuestion .................................................................................................... 232.1 GDP: Measuring Total Production and Total Income ..................................... 25 How theGovernment Calculates GDP (25)Production and Income (26)The Circular Flow of Income (27)An Example of Measuring GDP (29)National Income Identities and the Components of GDP (29)vvi CONTENTS Making the Connection: Will Public Employee Pensions Wreck State and Local Government Budgets.................................................................... 31 The Relationship Between GDP and GNP........................................................................ 33 2.2 Real GDP Nominal GDP and the GDP Deflator.............................................. 33 Solved Problem 2.2a: Calculating Real GDP . (34)Price Indexes and the GDP Deflator (35)Solved Problem 2.2b: Calculating the Inflation Rate ..........................................................36 The Chain-Weighted Measure of Real GDP ....................................................................37 Making the Connection: Trying to Hit a Moving Target: Forecasting with “Real-Time Data” .................................................................................. 37 Comparing GDP Across Countries................................................................................... 38 Making the Connection: The Incredible Shrinking Chinese Economy ................................ 39 GDP and National Income .............................................................................................. 40 2.3 Inflation Rates and Interest Rates ....................................................................... 41 The Consumer Price Index .............................................................................................. 42 Making the Connection: Does Indexing Preserve the Purchasing Power of Social Security Payments ................................................................ 43 How Accurate Is theCPI ............................................................................................... 44 The Way the Federal Reserve Measures Inflation ............................................................ 44 InterestRates .................................................................................................................. 45 2.4 Measuring Employment and Unemployment .. (47)Answering the Key Question ............................................................................................ 49 An Inside Look: Weak Construction Market Persists.......................................................... 50 Chapter 3 The Financial System 59 THE WONDERFUL WORLD OFCREDIT ................................................................................... 59 Key Issue and Question .................................................................................................... 59 3.1 Overview of the Financial System ...................................................................... 60 Financial Markets and Financial Intermediaries ................................................................ 61 Making the Connection: Is General Motors Making Cars or Making Loans .................... 62 Making the Connection: Investing in the Worldwide Stock Market . (64)Banking and Securitization (67)The Mortgage Market and the Subprime Lending Disaster (67)Asymmetric Information and Principal–Agent Problems in Financial Markets...................68 3.2 The Role of the Central Bank in the Financial System (69)Central Banks as Lenders of Last Resort ..........................................................................69 Bank Runs Contagion and Asset Deflation ....................................................................70 Making the Connection: Panics Then and Now: The Collapse of the Bank of United States in 1930 and the Collapse of Lehman Brothers in2008 (71)3.3 Determining Interest Rates: The Market for Loanable Funds and the Market forMoney .......................................................................................... 76 Saving and Supply in the Loanable Funds Market ........................................................... 76 Investment and the Demand for Loanable Funds ............................................................ 77 Explaining Movements in Saving Investment and the Real Interest Rate (78)CONTENTS .。

Writing a literature review怎样写文献综述英文

Writing a literature review怎样写文献综述英文
“Kaplan et al.(1990) have demonstrated that both the inclusion and the content of president’s letters significantly affect the judgments of individuals in equity investment decisions.”
• Note the focus on literature/research/studies • Note the way the literature is used to support
their assertions • Note the statement of aim and purpose • Note the way they define focus on “impression
Writing a literature review
Marian May Faculty of Business
Purposes of a literature review
• To show that you have read widely from (all?) the research in the field
(1996) determine …”
• Authors used as examples: “(e.g., Lee and Tweedie, 1981)”
Focus on the literature (2)
• Note the following strong literature focus (weak author focus):
evaluate (i.e. REVIEW) the ideas of others so that you have an accurate grasp of what research has been done • To support your argument

自动化专业英语论文

自动化专业英语论文

自动化专业英语论文Title: Automation Professional English ThesisIntroduction:In the field of automation, writing a professional English thesis is essential for students to showcase their research skills and knowledge. A well-written thesis can demonstrate the student's understanding of the subject matter and their ability to communicate effectively in English. This article will discuss the key components of a successful automation professional English thesis.1. Introduction to Automation:1.1 Automation Definition: Automation refers to the use of technology to control and monitor processes, reducing the need for human intervention. It involves the use of various tools such as sensors, actuators, and controllers to automate tasks and improve efficiency.1.2 Importance of Automation: Automation plays a crucial role in improving productivity, quality, and safety in various industries. It helps businesses streamline their operations, reduce errors, and increase output.1.3 Automation Applications: Automation is used in a wide range of industries, including manufacturing, healthcare, transportation, and agriculture. It is used to automate repetitive tasks, monitor processes, and collect data for analysis.2. Research Methodology:2.1 Literature Review: A thorough literature review is essential for understanding the existing research on the topic and identifying gaps in the literature. It helps the student build a strong theoretical foundation for their thesis.2.2 Data Collection: The student must decide on the data collection methods, such as surveys, interviews, or experiments, to gather relevant data for their research. They must ensure that the data collected is accurate and reliable.2.3 Data Analysis: Once the data is collected, the student must analyze it using appropriate statistical tools and techniques. They must interpret the results and draw conclusions based on their findings.3. Thesis Structure:3.1 Title Page: The title page should include the title of the thesis, the student's name, the institution's name, and the date of submission.3.2 Abstract: The abstract provides a brief summary of the thesis, highlighting the research objectives, methods, results, and conclusions.3.3 Introduction: The introduction sets the stage for the thesis by introducing the topic, stating the research objectives, and outlining the structure of the thesis.4. Results and Discussion:4.1 Results Presentation: The student must present the results of their research in a clear and organized manner, using tables, graphs, and charts to illustrate their findings.4.2 Discussion: The discussion section is where the student interprets the results, compares them to existing literature, and discusses the implications of their findings.4.3 Conclusion: The conclusion summarizes the key findings of the thesis, discusses the limitations of the study, and suggests areas for future research.5. References and Citations:5.1 Citation Style: The student must follow a specific citation style, such as APA or IEEE, to properly cite sources in their thesis.5.2 Reference List: The reference list should include all the sources cited in the thesis, listed in alphabetical order by the author's last name.5.3 Plagiarism Check: Before submitting the thesis, the student should run a plagiarism check to ensure that their work is original and properly cited.Conclusion:Writing a professional English thesis in the field of automation requires careful planning, research, and attention to detail. By following the key components outlined in this article, students can create a successful thesis that demonstrates their knowledge and skills in the field of automation.。

An empirical approach to temporal reference resolution

An empirical approach to temporal reference resolution

Abstract This paper presents the results of an empirical investigation of temporal reference resolution in scheduling dialogs. The algorithm adopted is primarily a linear-recency based approach that does not include a model of global focus. A fully automatic system has been developed and evaluated on unseen test data with good results. This paper presents the results of an intercoder reliability study, a model of temporal reference resolution that supports linear recency and has very good coverage, the results of the system evaluated on unseen test data, and a detailed analysis of the dialogs assessing the viability of the approach. 1 Introduction
174
established. The algorithm was primarily developed on a corpus of Spanish dialogs collected under the JANUS project (Shum et al. 1994) (referred to hereafter as the "CMU dialogs") and has also been applied to a corpus of Spanish dialogs collected under the Artwork project (Wiebe et al. 1996) (hereafter referred to as the "NMSU dialogs"). In both cases, subjects were told that they were to set up a meeting based on schedules given to them detailing their commitments. The CMU protocol is akin to a phone conversation between people who do not know each other. Such strongly task-oriented dialogs would arise in many useful applications, such as automated information providers and automated phone operators. The NMSU data are face-to-face dialogs between people who know each other well. These dialogs are also strongly task-oriented, but only in these, not in the CMU dialogs, do the participants stray significantly from the scheduling task. In addition, the data sets are challenging in that they both include negotiation, both contain many disfluencies, and both show a great deal of variation in how dates and times are discussed. To support the computational work, the temporal references in the corpus were manually annotated according to explicit coding instructions. In addition, we annotated the seen training dialogs for anaphoric chains, to support analysis of the data. A fully automatic system has been developed that takes as input the ambiguous output of a semantic parser (Lavie ~ Tomita 1993, Levin et al. 1995). The system performance on unseen, held-out test data is good, especially on the CMU data, showing the usefulness of our straightforward approach. The performance on the NMSU data is worse but surprisingly comparable, given the greater complexity of the data and the fact that the system was primarily developed on the simpler data. Rose et al. (1995), Alexandersson et al. (1997), and Busemann et al. (1997) describe other recent NLP systems that resolve temporal expressions in scheduling dialogs as part of their overall processing, but they do not give results of system performance on any temporal interpretation tasks. Kamp & Reyle (1993) address many representational and processing issues in the interpretation of temporal expressions, but they do not attempt coverage of a data set or present results of a working system. To our knowledge, there are no other published results on unseen test data of systems performing the same temporal resolution tasks. The specific contributions of this paper are the following. The results of an intercoder reliabil-

empirical analysis normative analysis

empirical analysis normative analysis

empirical analysis normative analysisEmpirical analysis and normative analysis are two different approaches to studying social and economic phenomena. Empirical analysis involves data analysis to provide descriptive or predictive insights about a given issue or phenomenon. Normative analysis involves making prescriptive judgments about what ought to be based on a set of values or principles. In this article, we explore the differences between these two approaches and their importance in decision-making.Empirical analysis typically involves collecting and analyzing data from a variety of sources such as surveys, interviews, and observations. The goal of this analysis is to gather information about a particular phenomenon or trend, usually to understand its causes, effects, and patterns. For example, empirical analysis can be used to analyze the economic impact of a particular policy or to understand the relationship between education and poverty.In contrast, normative analysis focuses on examining what should be the case, based on a set of values or principles. This approach is typically used to evaluate policies or decisions based on their adherence to certain ideals, such as social justice, equality, or economic efficiency. Normative analysis can be used to answer questions such as whether a particular policy is fair or whether it is equitable to a particular group.While these two approaches to analysis are distinct, they are often used together to provide a more comprehensiveunderstanding of a given issue. For example, empirical analysis can provide information regarding the economic and social impact of a particular policy, while normative analysis can be used to examine whether the policy aligns with certain ethical or moral principles.The importance of empirical and normative analysis lies in their ability to support informed decision-making. Empirical analysis provides data-driven insights that can inform the development and implementation of policy, while normative analysis ensures that the policy aligns with the values and principles of society. Without these two approaches, decisions may be made without consideration of either the empirical evidence or the ethical implications.In conclusion, empirical analysis and normative analysis are two different approaches to understanding social and economic phenomena. While empirical analysis focuses on descriptive or predictive insights, normative analysis focuses on prescriptive judgments based on a set of values or principles. Both approaches are important in decision-making as they provide a comprehensive understanding of a particular issue, ensuring that policies align with both empirical evidence and social values.。

EmpiricalEvidence:ADefinitionLiveScience

EmpiricalEvidence:ADefinitionLiveScience

EmpiricalEvidence:ADefinitionLiveScienceEmpirical evidence is information acquired by observation or experimentation. Scientists record and analyze this data. The process is a central part of the scientific method.The scientific methodThe scientific method begins with scientists forming questions, or hypotheses, and then acquiring the knowledge through observations and experiments to either support or disprove a specific theory. 'Empirical' means 'based on observation or experience,' according to the Merriam-Webster Dictionary. Empirical research is the process of finding empirical evidence. Empirical data is the information that comes from the research.Before any pieces of empirical data are collected, scientists carefully design their research methods to ensure the accuracy, quality and integrity of the data. If there are flaws in the way that empirical data is collected, the research will not be considered valid.The scientific method often involves lab experiments that are repeated over and over, and these experiments result in quantitative data in the form of numbers and statistics. However, that is not the only process used for gathering information to support or refute a theory.Types of empirical research'Empirical evidence includes measurements or data collected through direct observation or experimentation,' said Jaime Tanner, a professor of biology at Marlboro College in Vermont. There are two research methods used to gather empirical measurements and data: qualitative and quantitative.Qualitative research, often used in the social sciences, examines the reasons behind human behavior, according to Oklahoma State University. It involves data that can be found using the human senses. This type of research is often done in the beginning of an experiment.Quantitative research involves methods that are used to collect numerical data and analyze it using statistical methods, according to the IT University of Copenhagen. Quantitative numerical data can be any data that uses measurements, including mass, size or volume, according to Midwestern State University, in Wichita Falls, Texas. This type of research is often used at the end of an experiment to refine and test the previous research.Identifying empirical evidenceIdentifying empirical evidence in another researcher's experiments can sometimes be difficult. According to the Pennsylvania State University Libraries, there are some things one can look for when determining if evidence is empirical:•Can the experiment be recreated and tested?•Does the experiment have a statement about the methodology, tools and controls used?•Is there a definition of the group or phenomena being studied?BiasThe objective of science is that all empirical data that has been gathered through observation, experience and experimentation is without bias. The strength of any scientific research depends on the ability to gather and analyze empirical data in the most unbiased and controlled fashion possible.However, in the 1960s, scientific historian and philosopherThomas Kuhn promoted the idea that scientists can be influenced by prior beliefs and experiences, according to the Center for the Study of Language and Information.Because scientists are human and prone to error, empirical data is often gathered by multiple scientists who independently replicate experiments. This also guards against scientists who unconsciously, or in rare cases consciously, veer from the prescribed research parameters, which could skew the results.The recording of empirical data is also crucial to the scientific method, as science can only be advanced if data is shared and analyzed. Peer review of empirical data is essential to protect against bad science, according to the University of California. Empirical law vs. scientific lawEmpirical laws and scientific laws are often the same thing. 'Laws are descriptions — often mathematical descriptions — of natural phenomenon,' Peter Coppinger, associate professor of biology and biomedical engineering at the Rose-Hulman Institute of Technology, told Live Science. Empirical laws are scientific laws that can be proven or disproved using observations or experiments, according to the Merriam-Webster Dictionary. So, as long as a scientific law can be tested using experiments or observations, it is considered an empirical law. Empirical, anecdotal and logical evidenceEmpirical, anecdotal and logical evidence should not be confused. They are separate types of evidence that can be used to try to prove or disprove and idea or claim.Logical evidence is used proven or disprove an idea using logic. Deductive reasoning may be used to come to a conclusion to provide logical evidence. For example, 'All men are mortal. Harold is a man. Therefore, Harold is mortal.'Anecdotal evidence consists of stories that have been experienced by a person that are told to prove or disprove a point. For example, many people have told stories about their alien abductions to prove that aliens exist. Often, a person's anecdotal evidence cannot be proven or disproven.Additional resources•U.S. National Library of Medicine: Empirical Evidence of Bias •Mississippi State University: Empirical Research Tutorial•National Bureau of Economic Research: Persuasion- Empirical Evidence•Texas Education Agency: Differentiate Among Empirical, Anecdotal and Logical Evidence。

A review on Chapter 3

A review on Chapter 3

Types of morphemes
1) Free morphemes and bound morphemes (自由词素和粘附词素)
• Free morphemes ---morphemes which may occur alone or may constitute words by themselves, e.g. dog, nation, desk, close. • Bound morphemes --- morphemes which can not occur alone and must appear with at least another morpheme, e.g. dis-, un-, ed, -ment.
Comparison of inflectional affix and derivational affix
* 1) Inflectional affixes are generally less productive than derivational affixes. * 2) Inflectional affixes very often only add a minute or delicate grammatical meaning to the stem, and they serve to produce different forms of a single word. In contrast, derivational affixes often change the lexical meaning, and they serve to form new words. * 3) Inflectional affixes do not change the word class of the word they attach to, whereas derivational affixes might or might not. E.g. childhood
  1. 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
  2. 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
  3. 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。

A Review on Empirical Studies of Affix Acquisition姓名:张曼学号:2009021090 科目:语言研究设计Abstract: Affix knowledge is an important part of vocabulary knowledge in second language learning. It can help learners enlarge their vocabulary. This paper reviews the empirical researches of affix acquisition, points out their limitations, and provides suggestions for further study.Key words: affix acquisition, L2 language, empirical studyⅠ. IntroductionV ocabulary knowledge is an indispensable part of language. Nation (1990) points out that vocabulary knowledge should be viewed in terms of the extent or degree of knowledge that learners can possess, and full mastery of a word requires more than just knowledge of its meaning and form. English affix knowledge, also as an important aspect of vocabulary knowledge, contributes a lot to reading and vocabulary development. Nagy et al (1993) claims that affix knowledge determines how well a learner reads new words. With the knowledge of affix, readers understand material containing unfamiliar words and improve their ability to analyze and use words. Therefore, it is necessary to have an overall understanding of affix acquisition. But the truth is that there has been little emphasis placed on the acquisition of affix. It has not been a priority in second language acquisition research.Ⅱ. Affix KnowledgeNation (1990) developed a list of various types of knowledge that one must possess both receptively and productively in order to have complete command of a word.(1) The spoken form of a word.(2) The written form of a word.(3) The grammatical behavior of the word.(4) The collocational behavior of the word.(5) How frequent the word is.(6) The stylistic register constraints of a word.(7) The conceptual meaning of a word.(8) The associations a word has with other related words.It is Nation who puts all the issues, like meaning, base word, affixes, homographs and polysemous words into consideration. In 2001, Nation proposes a detailed and specific framework in which many factors are involved. V ocabulary knowledge includes spoken form, written form, word parts, form and meaning, concept and referent, associations, grammatical functions, collocations, constraints on use. From Nation’s vocabulary framework, we know that the form about a word can embrace a variety of things, from its word class to its morphological characteristic. Therefore, affix knowledge is an important part of the vocabulary knowledge. It influences how well a learner reads new words.Affix is linguistic fragment that is attached to word or word element to modify meaning or change function (Zhang Weiyou, 2002). Longman Dictionary of Language Teaching & Applied Linguistics defines affix as a letter of sound, or group of letters which is added to a word, and which change the meaning or function of the world. Affixes may be divided into inflectional and derivational types.There are two kinds of affix, derivational affix and inflectional affix. Affix attached to the end of words to indicate grammatical relationship is inflectional affix. An inflectional affix serves to express such meanings as plurality, tense, and the comparative or superlative degree (Zhang Yunfei, 1986). Inflectional affixes do not substantially change the meaning of the base word. It doesn't form a new word with new lexical meaning when it is added to another word, nor does it change the word class of the word to which it is added to. Inflectional affixes have only their particular grammatical meaning. Derivational affix is affix added to other morphemes to derive new words. They are so called because when they add to another morpheme, they "derive" a new word. Many derivational affixes have a specific lexical meaning, for instance, -ism means "doctrine or point of view" as in socialism. The number of deviational affixes is much larger than that of inflectional affixes. Derivational Affixes can be further divided into prefix and suffix. A prefix is a letter or group of letters or sounds which are added to the beginning of a word, and which changes the meaningof function of the word. Suffix is the letter or sound or group of letters or sounds which are added to the end of a word, and which change the meaning or function of the word.Ⅲ. Studies abroadEmpirical studies of affix acquisition in second language began in 1997. There are 3 influential papers published as follows.Schimitt & Meara (1997), based their study on frameworks raised by Nation (1990) do the first empirical L2 study in Japanese secondary and post-secondary students, which investigates how types of word knowledge, word association and grammatical knowledge change over time both receptively and productively. In their study, verbs are chosen as the class of words used, as verbs take the widest range of affix. In the productive test of affix knowledge, twenty verbs are presented. Subjects are required to write down three associative meanings of the verbs and add to them as many suffixes as possible, which can be attached to the verbs. In the receptive test, the subjects are also shown twenty verbs and asked to choose three associative meanings of the verbs from four options and the allowable suffixes added to them from fourteen suffixes, namely, -ed, -er, -s, -able, -ly, -ion, -ment, -age, -ance/ence, -al, -ee, -ive, -ure. Schimtt & Meara found that the subjects increased their suffix knowledge to 47% on the productive task and to 66% on the receptive task at the end of their research period. The annual increase was by 5% on the productive task and by 4% on the receptive task. They believe that these increases are small and conclude that subjects are little aware of derivational suffixes and their usage, although they do not have a good mastery of inflectional suffixes. They also find that there is a modest correlation between suffix and word association knowledge, and between suffix knowledge and vocabulary size. They attribute this result to the better knowledge of suffix, leading to a greater vocabulary, which brings a wider range of associative meaning. But there are some limits of their research. On the one hand, the study dealt with only 14 suffixes, disregarding prefixes. Thus, it does not show an overall picture of L2 learners affix knowledge. On the other hand, the study only concerns verbs, excluding words of other part of speech. Students are asked to write down all suffixesthat could be attached to verbs on the productive task and to choose all such suffixes out of 14 on the receptive task. This measures a learner's knowledge of what suffixes a particular verb takes and what it does not, in other words, the relation between a particular verb and its allowable suffixes. It seems that the relation depends more on the knowledge of a verb and its derivatives than on knowledge of suffixes. In this sense Schmitt and Meara's method of affix knowledge test is more contributory to explaining a relation between a verb and its allowable suffixes than suffix knowledge itself.Mochizuki (1998) does an empirical study of L2 learners’ affix knowledge, with the aim to explore what affixes are easier or harder to be acquired. He adopts a method different from that of Schmitt and Meara. He picks up twenty-six prefixes and fifty-six suffixes. For each prefix, he offers three common derivational words and four different meanings of the suffix written in Japanese, from which subjects are to choose the meaning most suitable one for the target suffix. For each suffix, he lists three words with low frequency and four choices, written as verb, noun, adjective, and adverb. Subjects are required to choose the part of speech of the low frequent words containing suffix. 127 freshmen as university students majored in English take part in the test. The result shows that score for prefix is 63% on average and 65% for suffix. Learners vary in degrees for the understanding of prefix and suffix and affix could be put order of accuracy. Mochizuki believed that the accuracy order demonstrates some affixes are easier to acquire than others. The establishment of the accuracy order can promote the systematic teaching of affix knowledge. However, the design of Mochizuki’s experiment is somewhat problematic. He offers familiar words containing prefix, so that subjects can infer the meaning of prefix by knowing the meanings of the familiar words. This makes the result of the study not so reliable.Mochizuki & Aizawa (2001) try to find out the order of affix acquisition, and the relationship between affix knowledge and vocabulary size. 403 Japanese high school students and university students with different majors participate the research. Test instruments are the vocabulary size test and affix knowledge test. Affix knowledge test is similar to that of Mochizuki (1998). For each item, three words sharing thesame affix are transformed into pseudo-words by changing their consonants. For a prefix item, subjects have to choose the best Japanese equivalent for the prefix from a set of four choices. For suffix items, subjects are shown three pseudo-words, and they have to indicate which part of speech these words belong to- noun, verb, adjective, or adverb. Thirteen prefixes and sixteen suffixes are targets. To avoid disturbing normal teaching, the two tests above are undertaken at the beginning and the end of the term. Subjects are informed of the goal of the research and told that the test scores have nothing to do with their records of study. Mochizuki & Aizawa find that there is a correlation between affix knowledge and vocabulary size, in other words, learners increase their affix knowledge in proportion to their vocabulary development. There is an accuracy order of prefixes and suffixes in the affix knowledge test. As to prefixes, more subjects understood the meaning of re-, un-, and pre- than semi-, ex-, and en-, which were better understood than counter-, in-, and ante-. As for suffixes, -ation, -ful, and -ment produced more correct responses than -ness, -ism, and -able, which in turn produced more correct responses than -ish, -y, and -ity. Mochizuki & Aizawa regarded these accuracy orders as an acquisition order of prefixes and suffixes on the assumption that affixes known by more learners are acquired earlier than those known by fewer. There are some limitations of this study. First, researchers do not validate the testing method of affixes. Second, their definition of acquisition in this study is that knowing the lexical meaning of a prefix as prefix acquisition and knowing the syntactic role of a suffix as suffix acquisition, but conventionally, most studies on acquisition of grammatical features regard production of particular grammatical feature by a learner as acquisition of the feature. Third, the treatment of polysemous prefixes and polyfunctional suffixes needs to be questioned.Ⅳ. Studies homeChinese scholars have done empirical studies on affix acquisition since 2000.Wu Xudong &Chen Xiaoqing (2000) investigates, within the descriptive framework of word knowledge types (Nation, 1990), how 4 types of word knowledge 一meaning senses, synonym, derivative, and collocation一were acquired receptively and productively by Chinese EFL learners at three different proficiency levels (i.e.,beginning, intermediate and advanced). Eighty-five Chinese high school and university students participated in the study. They are tested on the receptive and productive mastery of the 4 types of word knowledge for each of the following 6 high-frequency nouns: change, use, character, blood, test, and result. A 4* 3*2 factorial design is applied, and the data from the subjects were analyzed quantitatively and qualitatively. The following major findings are obtained: (1) Diachronically, before the subjects' proficiency reached intermediate level, their receptive and productive knowledge of all types of word knowledge, except word meaning, improved significantly. However, the development stagnated as the subjects moved from intermediate to advanced level. (2) Synchronically, the subjects' lexical competence was characterized by (a) a much better receptive mastery than productive mastery of all 4 knowledge types, (b) a better mastery of meaning senses than that of the other 3 types of word knowledge, and (c) a lack of regularity in their receptive and productive mastery of derivatives and collocations. The possible perspectives of cognitive processes involved causes for the above findings are discussed synonyms, from their vocabulary acquisition and the learning environments characteristic of foreign language classroom setting.Liu Shaolong (2002) explores the dimension development and acquisition patterns of EFL word knowledge in terms of affix, meaning and part of speech of English words of high frequency. The study is based on the “Word Knowledge Framework”and “Dimensional Approach”proposed by Nation (2001), and has its focus on the descriptive and quantitative comparison and analysis of correlation, variance of the above three dimensions of the word knowledge against productive and receptive abilities. Subjects are 25 freshmen and juniors in a university and postgraduate. All of them are English majors. The research findings are as follows. First, the productive knowledge of word meaning is moderately correlated with that of affix; the productive knowledge of affix is also moderately correlated with the receptive knowledge of affix. Second, for the freshmen, the productive knowledge of affix, word meaning, and part of speech is greater than that of other groups; for the juniors, the difference of productive knowledge between affix, word meaning, andparts of speech is significantly greater than that of other groups. Third, the difference among learners with varied proficiency is inconsistent.Cui Yanyan & Wang Tongshun (2005) are the first to solely focus on affix knowledge. They aim to explore the derivative affix acquisition characteristics of Chinese learners and the reasons of affix misuses in the hope of shedding light to affix teaching. Based on the compositions collected in CLEC, they find that misuses of derivative affix accompany the whole process of learning; in spite of the advance learning stage. Those mistakes appear quite often. Learners with different proficiency are varied in the characteristics of learning derivative affixes. Cui Yanyan & Wang Tongshun classify the misuses into three kinds, namely, overuse of affixes, confusion of affixes (including confusion of prefixes, confusion of suffixes), and spelling errors. They conclude that reasons of misuses are due to over generalization, ignorance of rules, and the complexity of derivative affixes.Wu Yi & Ma Guanghui (2006) investigate the affix acquisition of Chinese EFL (English as a Foreign Language) learners as revealed from their level of receptive and productive mastery of affix knowledge. The study is try to answer the acquisition order of English affix of Chinese learners and the relationship between the acquisition of English affix and the size of English vocabulary. The subjects chosen for the present study are 49 Senior 1 students from a natural class of a high school; 100 Senior 2 students from a natural class of a high school; 103 Senior 3 students who are also from a natural class from a high school; 48 freshmen from a natural class of a vocational college. In the study, they use three test papers, the "Productive affix knowledge test", the "Receptive affix knowledge test" and the "Vocabulary size test". The results are as follows. First, there is a certain order in the EFL learners' English affix acquisition; for prefixes, the order is non-, re-, un-, pre-, ex-, counter-, in-, re-, post-, anti-, ante-. for suffixes, it is –er, -ation, -ful, -ly, -ize, -able, -al, -ment, -ous, -y, -ness, -ish, -less, -ist, -ity, ism. Second, suffix knowledge is acquired better than prefix knowledge. Third, receptive affix knowledge is acquired better than productive affix knowledge. Lastly, English affix knowledge acquisition is related with vocabulary size.Ⅴ. Suggestions for future studiesFrom the above review, we can make a conclusion of the research results. First, there is a relationship between affix knowledge and vocabulary size. Second, the productive and receptive knowledge of affix slow down at intermediate stage. Receptive knowledge is acquired better than productive knowledge. Third, Misuses of affix run through the whole process of learning. Lastly, there is an order for affix acquisition.Although researches concerning affix acquisition have gained initial precious results, but the number of empirical studies is still deficient. The research method is too single, namely the cross-section study, which can not represent the diachronic development of affix acquisition. Further studies should deal with how the same learners develop their affix knowledge over time in a longitudinal aspect.References:Mochizuki, M. Understanding English affixes by Japanese learners. Reitaku Review, 1998,(4): 100–120.Masamichi Mochizuki, Kazumi Aizawa. An affix acquisition order for EFL learners.Exploratory Study System, 2000, (28): 291-304.Nagy. The acquisition of morphology: learning the contribution of suffixes to the meanings of derivatives, Journal of Reading Behavior, 1993, 25, 155-170. Nation, P. Teaching and Learning V ocabulary. Boston: Heinle & Heinle, 1990, 11-43. Nation, P. Learning V ocabulary in Another Language. Cambridge: Cambridge University Press. 2001.Schmitt, N., Meara, P. Researching vocabulary through a word knowledge framework.Studies in Second Language Acquisition, 1997, (19): 17–36.崔艳嫣,王同顺.基于CLEC 的中国学习者英语派生词缀习得分析.国外外语教学,2005,(2):5-11刘绍龙. 英语词汇知识的维间发展与习得特征.解放军外国语学院学报,2002,(2):66-69.吴旭东,陈晓庆.中国英语学生课堂环境下词汇能力的发展.现代外语,2000,(4):349-360.张维友.英语词汇学教程.华中师范大学出版社,2002, 41-70.吴怡,马广惠.二语学习者词缀习得状况调查.江苏外语教学研究,2006,(2):6-9.张韵斐.现代英语词汇学概论.北京师范大学出版社,1986, 1-42.。

相关文档
最新文档