Unit 6 Dictionaries
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Lectures on English Lexicology
МИНИСТЕРСТВО ОБРАЗОВАНИЯ И НАУКИ РОССИЙСКОЙ ФЕДЕРАЦИИ ГОУ ВПО «Татарский государственный гуманитарно-педагогический университет» LECTURES ON ENGLISH LEXICOLOGY Курс лекций по лексикологии английского языка Казань 2010 МИНИСТЕРСТВО ОБРАЗОВАНИЯ И НАУКИ РОССИЙСКОЙ ФЕДЕРАЦИИ ГОУ ВПО «Татарский государственный гуманитарно-педагогический университет» LECTURES ON ENGLISH LEXICOLOGY Курс лекций по лексикологии английского языка для студентов факультетов иностранных языков Казань 2010 ББК УДК Л Печатается по решению Методического совета факультета иностранных языков Татарского государственного гуманитарно-педагогического университета в качестве учебного пособия Л Lectures on English Lexicology. Курс лекций по лексикологии английского языка. Учебное пособие для студентов иностранных языков. – Казань: ТГГПУ, 2010 - 92 с. Составитель: к.филол.н., доцент Давлетбаева Д.Н. Научный редактор: д.филол.н., профессор Садыкова А.Г. Рецензенты: д.филол.н., профессор Арсентьева Е.Ф. (КГУ) к.филол.н., доцент Мухаметдинова Р.Г. (ТГГПУ) © Давлетбаева Д.Н. © Татарский государственный гуманитарно-педагогический университет INTRODUCTION The book is intended for English language students at Pedagogical Universities taking the course of English lexicology and fully meets the requirements of the programme in the subject. It may also be of interest to all readers, whose command of English is sufficient to enable them to read texts of average difficulty and who would like to gain some information about the vocabulary resources of Modern English (for example, about synonyms -
Words of the World: a Global History of the Oxford English Dictionary
DOWNLOAD CSS Notes, Books, MCQs, Magazines www.thecsspoint.com Download CSS Notes Download CSS Books Download CSS Magazines Download CSS MCQs Download CSS Past Papers The CSS Point, Pakistan’s The Best Online FREE Web source for All CSS Aspirants. Email: [email protected] BUY CSS / PMS / NTS & GENERAL KNOWLEDGE BOOKS ONLINE CASH ON DELIVERY ALL OVER PAKISTAN Visit Now: WWW.CSSBOOKS.NET For Oder & Inquiry Call/SMS/WhatsApp 0333 6042057 – 0726 540316 Words of the World Most people think of the Oxford English Dictionary (OED) as a distinctly British product. Begun in England 150 years ago, it took more than 60 years to complete, and when it was finally finished in 1928, the British prime minister heralded it as a ‘national treasure’. It maintained this image throughout the twentieth century, and in 2006 the English public voted it an ‘Icon of England’, alongside Marmite, Buckingham Palace, and the bowler hat. But this book shows that the dictionary is not as ‘British’ as we all thought. The linguist and lexicographer, Sarah Ogilvie, combines her insider knowledge and experience with impeccable research to show that the OED is in fact an international product in both its content and its making. She examines the policies and practices of the various editors, applies qualitative and quantitative analysis, and finds new OED archival materials in the form of letters, reports, and proofs. She demonstrates that the OED,in its use of readers from all over the world and its coverage of World English, is in fact a global text. sarah ogilvie is Director of the Australian National Dictionary Centre, Reader in Linguistics at the Australian National University, and Chief Editor of Oxford Dictionaries, Australia. -
Resources for Freelancers
Resources for Freelancers Organizations, websites and a list citation guide; online subscription available) ACES (blog, news, resources, jobs, and the Quick Check Editorial Reference Cards ACES forums): www.copydesk.org (from Copyediting.com) Copyediting Newsletter (Links, blog, jobs, Purdue’s Online Writing Lab (guides to resources, training): www.copyediting.com Chicago, MLA and APA style) Editorial Freelancers Association (Training, Garner’s Modern American Usage resources, jobs): www.the-efa.org Merriam-Webster’s Dictionary of English Usage Journalists’ Toolbox (Compendium of links The Gregg Reference Manual to useful sites) www.journaliststoolbox.org Grammar Girl’s Quick & Dirty Tips for Better Copyeditor’s Knowledge Base (Links to Writing resources for freelance copyeditors): http://www.kokedit.com/ckb.php Elephants of Style and Lapsing into a Comma (Bill Walsh) Common Errors in English Usage (Big list of quick-hit usage tips): OnlineStylebooks.com www.wsu.edu/~brians/errors/errors.html Grammar Girl’s Quick and Dirty Tips Dictionaries (transcripts of all the podcasts, more): http://www.quickanddirtytips.com Merriam-Webster Collegiate 11th (Chicago’s preferred; online free, on CD-ROM, and as a Grant Barrett’s searches (word-related sites, free app; Unabridged by subscription) Google books): http://www.copyediting.com/two-copy- Webster’s New World College (AP’s desk-power-searches preferred; also as an app) CE-L (mailing list for copyeditors): Sign up Oxford dictionaries (New Oxford American at http://www.copyediting-l.info/ free -
Intelligent Tutoring Systems
Se Design Recommendations for Intelligent Tutoring Systems Volume 2 Instructional Management Edited by: Robert A. Sottilare, Arthur C. Graesser, Xiangen Hu, and Benjamin S. Goldberg A Book in the Adaptive Tutoring Series Copyright © 2014 by the U.S. Army Research Laboratory. Copyright not claimed on material written by an employee of the U.S. Government. All rights reserved. No part of this book may be reproduced in any manner, print or electronic, without written permission of the copyright holder. The views expressed herein are those of the authors and do not necessarily reflect the views of the U.S. Army Research Laboratory. Use of trade names or names of commercial sources is for information only and does not imply endorsement by the U.S. Army Research Laboratory. This publication is intended to provide accurate information regarding the subject matter addressed herein. The information in this publication is subject to change at any time without notice. The U.S. Army Research Laboratory, nor the authors of the publication, makes any guarantees or warranties concerning the information contained herein. Printed in the United States of America First Printing, June 2014 First Printing (errata addressed), July 2014 U.S. Army Research Laboratory Human Research & Engineering Directorate SFC Paul Ray Smith Simulation & Training Technology Center Orlando, Florida International Standard Book Number: 978-0-9893923-2-7 We wish to acknowledge the editing and formatting contributions of Carol Johnson, ARL Dedicated to current and future scientists and developers of adaptive learning technologies CONTENTS Preface ..................................................................................................... i Prologue ............................................................................................... xv Section I: Affect, Engagement and Grit in Instructional Management (Sottilare) 1 Chapter 1 ‒ Thoughts on the Instructional Management of Affect, Engagement, and Grit .................................................. -
A Note on the Use of Dictionaries
A NOTE ON THE USE OF DICTIONARIES Antonin Scalia & Bryan A. Garner† “When [lawyers and judges] look up a word in a dictionary – and they often do – they are as likely as not to select a poor dictionary.” – Max Radin* ORD MACMILLAN WAS HARDLY OVERSTATING the case in 1938 when he said that “one of the chief functions of our courts is to act as an animated and authoritative diction- ary.”1 The reason is that with legal interpretation, inevita- bly “[t]he words used by one set of persons have to be interpreted L 2 by another set of persons.” So it is understandable that so-called judicial dictionaries have been assembled over the years – some- times vast compilations of judicial pronouncements about what a given word or phrase means. In that genre, the leading American text is the 132-volume set of Words and Phrases (permanent edition † Antonin Scalia is an Associate Justice of the Supreme Court of the United States. Bryan Garner is the President of LawProse, Inc. This essay first appeared as Appendix A to their book, READING LAW: THE INTERPRETATION OF LEGAL TEXTS (West 2012). It is reprinted here with the permission of the authors and the publisher, Thomson Reuters. © 2012 Antonin Scalia and Bryan A. Garner. * “A Juster Justice, a More Lawful Law,” in Legal Essays in Tribute to Orrin Kip McMurray 537, 538 (Max Radin & A.M. Kidd eds., 1935). 1 Lord Macmillan, Law and Other Things 163 (1938). 2 Id. 16 GREEN BAG 2D 419 Antonin Scalia & Bryan A. Garner updated yearly); the leading British text is the 3-volume Stroud’s Judicial Dictionary (6th ed. -
Phonotactic Complexity of Finnish Nouns FRED KARLSSON
7 Phonotactic Complexity of Finnish Nouns FRED KARLSSON 7.1 Introduction In the continuous list of publications on his homepage, Kimmo Koskenniemi gives an item from 1979 as the first one. But this is not strictly speaking his first publication. Here I shall elevate from international oblivion a report of Kimmo’s from 1978 from which the following introductory prophecy is taken: “The computer might be an extremely useful tool for linguistic re- search. It is fast and precise and capable of treating even large materials” (Koskenniemi 1978: 5). This published report is actually a printed version of Kimmo’s Master’s Thesis in general linguistics where he theoretically analyzed the possibili- ties of automatic lemmatization of Finnish texts, including a formalization of Finnish inflectional morphology. On the final pages of the report he esti- mates that the production rules he formulated may be formalized as analytic algorithms in several ways, that the machine lexicon might consist of some 200,000 (more or less truncated) stems, that there are some 4,000 inflectional elements, that all of these stems and elements can be accommodated on one magnetic tape or in direct-access memory, and that real-time computation could be ‘very reasonable’ (varsin kohtuullista) if the data were well orga- nized and a reasonably big computer were available (ibid.: 52-53). I obviously am the happy owner of a bibliographical rarity because Kimmo’s dedication of 1979 tells me that this is the next to the last copy. This was five years before two-level morphology was launched in 1983 when Kimmo substantiated his 1978 exploratory work by presenting a full- blown theory of computational morphology and entered the international computational-linguistic scene where he has been a main character ever since. -
Cross Reference Definition Meaning
Cross Reference Definition Meaning whenRinaldo Berke is botchiest denude anddash? apostatise Stapled compactlyJeremie barged as publicized dolorously. Levin piecing alertly and wean stirringly. Is Mace unparented Thanks for validation purposes specified marker is given in a department level, cross reference note of static method is What memory the definition of cross reference What rate the meaning of cross reference How do you think cross reference in forthcoming sentence than are synonyms for cross. How log you cross reference in an essay? Cross References. Cross Reference meaning in Urdu Bahami Hawala meaning Definition Synonyms at English to Urdu dictionary gives you apply best in accurate. Cross-References Microsoft Word for Dissertations. The WDM block beneath the definition for referencing the component on the drawing. To efficacy and define citations for a document you ease with the commands in. Cross-Referencing Historical Sources BHS History Mr. Cross-References Letting Scripture Interpret Scripture Bible. Creating Cross-References Adobe InDesign CS5 on. Think big the headers in dictionaries refer or the in word defined on single page. Definition of behavior-references by The portable Dictionary. The Environmental Dictionary and Regulatory Cross-Reference King James J on Amazoncom FREE shipping on qualifying offers The Environmental. A cross-reference refers a reader from one section of a document to. By default Word lets you scowl cross-references understand the following. The agenda of determining the optimal cross-reference structure for aid given index and. Without its need is define or compromise any similar enterprise policies or cross-referencing algorithms providing the necessary interoperability. You can't cross-reference country that doesn't exist you be without to stack the chart heading page number etc before should try to link to shoulder When you mock the. -
A Reverse Dictionary of Cypriot Greek
Cypriot Greek Lexicography: A Reverse Dictionary of Cypriot Greek Charalambos Themistocleous, Marianna Katsoyannou, Spyros Armosti & Kyriaki Christodoulou Keywords: reverse dictionary, Cypriot Greek, orthographic variation, orthography standardisation, dialectal lexicography. Abstract This article explores the theoretical issues of producing a dialectal reverse dictionary of Cypriot Greek, the collection of data, the principles for selecting the lemmas among various candidates of word types, their orthographic representation, and the choices that were made for writing a variety without a standardized orthography. 1. Introduction Cypriot Greek (henceforth CG) is a variety of Greek spoken by almost a million people in the Republic of Cyprus. CG differs from Standard Modern Greek (henceforth SMG) with regard to its phonetics, phonology, morphology, syntax, and even pragmatics (Goutsos and Karyolemou 2004; Papapavlou and Pavlou 1998; Papapavlou 2005; Tsiplakou 2004; Katsoyannou et al. 2006; Tsiplakou 2007; Arvaniti 2002; Terkourafi 2003). The study of the vocabulary of CG was one of the research goals of ‘Syntychies’, a research project for the production of lexicographic resources undertaken by the Department of Byzantine and Modern Greek Studies of the University of Cyprus between 2006 and 2010. Another research goal of the project has been the study of the written representation of the dialect—since there exists no standardized CG orthography. The applied part of the Syntychies project includes the creation of a lexicographic database suitable for the production of dialectal dictionaries of CG, such as a reverse dictionary of CG (henceforth RDCG), which is currently under publication. The lexicographic database is hosted in a dedicated webpage, which allows online searching of the database. -
Online English Dictionaries: Friend Or Foe?
Online English Dictionaries: Friend or Foe? Gao Yongwei Keywords: online dictionary, e-lexicography, English-Chinese lexicography. Abstract The emergence of online English dictionaries in the past two decades has not only changed the lookup habit of many people and but also influenced the way dictionaries are compiled and presented. The traditional role played by paper dictionaries has been challenged, as witness the sharp decrease of the sales of the so-called “dead-tree” dictionaries and the steady diminishing in their readership. In consequence, many paper dictionaries have been gathering dust on bookshelves in bookstores, libraries or private studies. The ever-increasing popularity of online dictionaries has even made some alarmists suggest the possible demise of paper dictionaries. However, the future of dictionary-making and that of bilingual lexicography in particular is not as dismal as what people usually think. The lexicographical information presented in online dictionaries may prove to be a bonanza for bilingual lexicographers. This paper attempts to research into the major online English dictionaries that are available today, and their advantages and disadvantages will also be discussed. The scene of online English-Chinese dictionaries will also be investigated, and opportunities presented to English-Chinese dictionary-makers in the digital era will be explored. According to most current English reference books, a dictionary is usually defined as “a book that gives a list of words in alphabetical order and explains what they mean”. However, technological advances have already redefined what a dictionary is. Many dictionaries that are being used today are no longer “books” in the traditional sense of the word as they can be found in electronic devices (e.g. -
Reverse Dictionary
Imperial Journal of Interdisciplinary Research (IJIR) Vol-2, Issue-4, 2016 ISSN: 2454-1362, http://www.onlinejournal.in Reverse Dictionary Veena Gurram1, Sweta Rathod2, Anish Lushte3, Pranay Vaidya4, Prof. Vinod Alone5 & Prof. Mahendra Pawar6 1,2,3,4B.E Student 5,6Assistant Professor 1,2,3,4,5,6Department Of Computer Engineering, PVPPCOE Sion, Mumbai 400022 Abstract— In this paper, we describe the design and dictionary are the reverse dictionaries [3][4] which is implementation of a reverse dictionary. Unlike a tra- built with certain drawbacks. The existing dictionary ditional forward dictionary, which maps from words receives an input phrase and outputs many output to their definitions, a reverse dictionary takes a user words; therefore it can be tedious for the user to input phrase describing the desired concept, and re- search one from it. Whereas, building a ranking based turns a set of candidate words that satisfy the input dictionary, allows the user to choose from a set of phrase. This work has significant application not only words which are closely related to each other. for the general public, particularly those who work Example: In the existing reverse dictionary, the user closely with words, but also in the general field of inputs a phrase “unknown name” outputs over a 100 conceptual search. search results including “anonymous”, “nameless”, “incognito”, “jane doe”, “john doe”, “some”, “sky- Index Terms—Dictionaries, thesauruses, search pro- blue pink”, “dark horse” etc. [4], But the most cess, web-based services. accurate result for “unknown name” shall be “anonymous”, “nameless” but “incognito” also I. INTRODUCTION contributes some primary meaning to the user input phrase. -
Using an On-Line Dictionary to Find Rhyming Words And
USING AN ON=LINE DICTIONARY TO FIND RHYMING WORDS AND PRONUNCIATIONS FOR UNKNOWN WORDS Roy J Byrd I.B.M. Thomas J. Watson Research Center Yorktown Heights, New York 10598 Martin S. Chodorow Department of Psychology, Hunter College of CUNY and I.B.M. Thomas J. Watson Research Center Yorktown Heights, New York 10598 ABSTRACT word not found in the dictionary. WordSmith also shows the user words that are "close" to a given word Humans know a great deal about relationships among along dimensions such as spelling (as in published dic- words. This paper discusses relationships among word tionaries), meaning (as in thesauruses), and sound (as in pronunciations. We describe a computer system which rhyming dictionaries). models human judgement of rhyme by assigning specific roles to the location of primary stress, the similarity of Figure I shows a sample of the WordSmith user inter- phonetic segments, and other factors. By using the face. The current word, urgency, labels the text box at model as an experimental tool, we expect to improve our the center of the screen. The box contains the output understanding of rhyme. A related computer model will of the PRONUNC application applied to the current attempt to generate pronunciations for unknown words word: it shows the pronunciation of urgency and the by analogy with those for known words. The analogical mapping between the word's spelling and pronunciation. processes involve techniques for segmenting and PRONUNC represents pronunciations in an alphabet matching word spellings, and for mapping spelling to derived from Webster's Seventh Collegiate Dictionary. In sound in known words. -
Generating Anagrams from Multiple Core Strings Employing User-Defined Vocabularies and Orthographic Parameters
Behavior Research Methods, Instruments, & Computers 2003, 35 (1), 129-135 Generating anagrams from multiple core strings employing user-defined vocabularies and orthographic parameters TIMOTHY R. JORDAN and AXEL MONTEIRO University of Nottingham, Nottingham, England Anagrams are used widely in psychological research. However, generatinga range of strings with the same lettercontent is an inherently difficult and time-consuming task for humans, and current computer- based anagram generatorsdo not provide the controls necessaryfor psychological research.In this ar- ticle,we present a computational algorithm that overcomes these problems. Specifically,the algorithm processes automatically each word in a user-defined source vocabulary and outputs, for each word, all possible anagrams that exist as words (or as nonwords, if required) as defined by the same source vo- cabulary. Moreover, we show how the output of the algorithm can be filtered to produce anagrams within specificuser-definedorthographic parameters.For example, the anagramsproduced can be filtered to produce words that share, with each other or with other words in the source vocabulary, letters in only certain positions. Finally, we provide free access to the complete Windows-based program and source code containing these facilitiesfor anagram generation. Anagrams play an important and pervasive role in psy- ences of linguistic category (e.g., frequency, imageabil- chological research. For example, anagrams provide a ity, concreteness, orthographic structure, lexicality) on measure