COCA 5000 1 the Corpus of Contemporary American English

Total Page:16

File Type:pdf, Size:1020Kb

COCA 5000 1 the Corpus of Contemporary American English COCA 5000 1 The Corpus of Contemporary American English (COCA) 2012 Jun Updated The Corpus of Contemporary American English (COCA) is the largest freely-available corpus of English, and the only large and balanced corpus of American English. The corpus was created by Mark Davies of Brigham Young University, and it is used by tens of thousands of users every month (linguists, teachers, translators, and other researchers). COCA is also related to other large corpora that we have created. The corpus contains more than 450 million words. [in 189,431 texts] and is equally divided among spoken, fiction, popular magazines, newspapers, and academic texts. It includes 20 million words each year from 1990-2012 and the corpus is also updated regularly (the most recent texts are from Summer 2012). [The most recent addition of texts (Apr 2011 - Jun 2012) was completed in June 2012.] Because of its design, it is perhaps the only corpus of English that is suitable for looking at current, ongoing changes in the language (see the 2011 article in Literary and Linguistic Computing). For each year (and therefore overall, as well), the corpus is evenly divided between the five genres of spoken, fiction, popular magazines, newspapers, and academic journals. The texts come from a variety of sources: Spoken: (95 million words [95,385,672]) Transcripts of unscripted conversation from more than 150 different TV and radio programs (examples: All Things Considered (NPR), Newshour (PBS), Good Morning America (ABC), Today Show (NBC), 60 Minutes (CBS), Hannity and Colmes (Fox), Jerry Springer, etc). [See notes on the naturalness and authenticity of the language from these transcripts). Fiction: (90 million words [90,344,134]) Short stories and plays from literary magazines, children’s magazines, popular magazines, first chapters of first edition books 1990-present, and movie scripts. Popular Magazines: (95 million words [95,564,706]) Nearly 100 different magazines, with a good mix (overall, and by year) between specific domains (news, health, home and gardening, women, financial, religion, sports, etc). A few examples are Time, Men’s Health, Good Housekeeping, Cosmopolitan, Fortune, Christian Century, Sports Illustrated, etc. Newspapers: (92 million words [91,680,966]) Ten newspapers from across the US, including: USA Today, New York Times, Atlanta Journal Constitution, San Francisco Chronicle, etc. In most cases, there is a good mix between different sections of the newspaper, such as local news, opinion, sports, financial, etc. COCA 5000 2 Academic Journals: (91 million words [91,044,778]) Nearly 100 different peer-reviewed journals. These were selected to cover the entire range of the Library of Congress classification system (e.g. a certain percentage from B (philosophy, psychology, religion), D (world history), K (education), T (technology), etc.), both overall and by number of words per year YEAR SPOKEN FICTION MAGAZINE NEWSPAPER ACADEMIC TOTAL 1990 4,332,983 4,176,786 4,061,059 4,072,572 3,943,968 20,587,368 1991 4,275,641 4,152,690 4,170,022 4,075,636 4,011,142 20,685,131 1992 4,493,738 3,862,984 4,359,784 4,060,218 3,988,593 20,765,317 1993 4,449,330 3,936,880 4,318,256 4,117,294 4,109,914 20,931,674 1994 4,416,223 4,128,691 4,360,184 4,116,061 4,008,481 21,029,640 1995 4,506,463 3,925,121 4,355,396 4,086,909 3,978,437 20,852,326 1996 4,060,792 3,938,742 4,348,339 4,062,397 4,070,075 20,480,345 1997 3,874,976 3,750,256 4,330,117 4,114,733 4,378,426 20,448,508 1998 4,424,874 3,754,334 4,353,187 4,096,829 4,070,949 20,700,173 1999 4,417,997 4,130,984 4,353,229 4,079,926 3,983,704 20,965,840 2000 4,414,772 3,925,331 4,353,049 4,034,817 4,053,691 20,781,660 2001 3,987,514 3,869,790 4,262,503 4,066,589 3,924,911 20,111,307 2002 4,329,856 3,745,852 4,279,955 4,085,554 4,014,495 20,455,712 2003 4,404,978 4,094,865 4,295,543 4,022,457 4,007,927 20,825,770 2004 4,330,018 4,076,462 4,300,735 4,084,584 3,974,453 20,766,252 2005 4,396,030 4,075,210 4,328,642 4,089,168 3,890,318 20,779,368 2006 4,304,513 4,081,287 4,279,043 4,085,757 4,028,620 20,779,220 2007 3,882,586 4,028,998 4,185,161 3,975,474 4,267,452 20,339,671 2008 3,635,622 4,155,298 4,205,477 4,031,769 4,015,545 20,043,711 2009 3,969,587 4,143,814 3,855,815 3,971,607 4,144,064 20,084,887 2010 4,095,393 3,929,160 3,806,011 4,258,633 3,816,420 19,905,617 2011 4,033,627 4,166,029 4,199,378 3,982,299 4,064,535 20,445,868 2012 2,348,159 2,294,570 2,203,821 2,109,683 2,298,658 11,254,891* TOTAL 95,385,672 90,344,134 95,564,706 91,680,966 91,044,778 464,020,256 * The latest update for 2012 was in Summer 2012, and includes texts from Jan-Jun 2012. Retrieved January 12, 2013, from http://www.wordfrequency.info COCA 5000 3 COCA Compared with Other Corpuses The Corpus of Contemporary American English (COCA) offers a balance of availability, size, genres, and currency (how recent it is) that is not found in other corpora, including the American National Corpus (ANC), the British National Corpus (BNC), the Bank of English (BOE), or the Oxford English Corpus (OEC). In addition, the architecture used for COCA (and the other corpora from corpus.byu.edu) is among the most powerful architectures available for online corpora -- at least as scalable and feature-rich as Corpus Workbench (including its incarnation in Sketch Engine and BNCweb), as well as other architectures like VISL and PIE (more information...). The chart below provides a summary of the features of the different corpora, and detailed discussions can be found via the links at the top of each column. Feature COCA BNC ANC BOE OEC Availability Free / web Free / web Free $1150 year (Limited) 1 Size (millions of words) 450 100 22 455 1,898 Time span 1990-2012 1970s-1993 2000-2005 ?2 1970s-2005 2000-2006 Number of words of text being 20 million 0 0 0 0 added each year Can be used as a monitor corpus to Yes No No (Limited) (Limited) see ongoing changes in English Wide range of genres: spoken, fiction, popular magazine, Yes Yes No (Yes) (Yes) newspaper, academic Size of spoken (millions of words) 90 10 4 62 82 Spoken = conversational, (Mostly: Yes Yes (Some) (Some) unscripted ? notes) Dialect American British American Br / Am + Am / Br + Interface BYU BYU Open ANC Sketch Engine Sketch Engine Sketch Engine (DVD) BNCweb VISL PIE Notes: 1. The OEC is generally available only to researchers at Oxford University Press, although access is occasionally given to selected researchers outside of the OUP. 2. In 2005 the corpus had 22 million words, and the current site still mentions 22 million COCA 5000 4 words, but some people have claimed that new texts have been added since 2005. We'd appreciate details from anyone who knows about the status on this. Retrieved January 11, 2013, from http://corpus.byu.edu/coca/ COCA Compared with BNC Overall, the wordlists from the British National Corpus (list 1 / list 2) are quite good. However, because there are some important differences between COCA and the BNC in terms of size and how recent the corpora are, and so the BNC may not be as accurate for low-frequency words and for new words in the language. Note also that the wordlists from the BNC (list 1 / list 2) do not provide anything beyond the bare wordlist -- no collocates, no synonyms, etc -- and therefore no indication of the meaning and use of the words. Overall, for the top 5,000 words there is about a 10% difference between the the COCA and the BNC wordlists (see explanation of methodology below), beyond spelling differences (favo(u)rite, program(me), categori[s/z]e, etc). Things get somewhat more problematic at lower levels, where the BNC lists diverge 30-35% from what is found in the COCA lists. Some differences in the wordlists are related to culture, society, politics, or current events (e.g. Am Republican, congressional, baseball, Iraqi; Br Tory, parliamentary, Victorian), some are just different words for the "same" concept (e.g. store/shop, attorney/solicitor, apartment/flat, mom/mum), and some words in COCA (1990-2010) refer to things that are too new to have made it into the pre-1993 BNC (e.g. web, Internet, high-tech, online). +American (COCA) / -British (BNC) The following are just a sampling of the words that are much more common in COCA than in the BNC. In all cases, the word is at least twice as far down the list in the BNC wordlist as in COCA (e.g. #2000 in COCA, #5000 in BNC). Verb: call, report, focus, guess, sign, step, figure, roll, fire, hire, file, oppose, wrap, interview, accomplish, testify, bake, track, evolve, violate, target, pitch, flip, ruin, hike, invade Noun: student, president, percent, kid, guy, nation, photo, arm, American, Republican, phone, movie, store, lawyer, Democrat, professor, expert, senator, break, camera, coach, item, mom, dream, attorney, scientist, web, camp, truck, apartment, bowl, baseball, internet, basketball COCA 5000 5 Adjective: American, federal, tough, native, Iraqi, crazy, smart, Israeli, Mexican, congressional, elementary, online, gifted, athletic, ongoing, African-american, suburban, Hispanic, scary, high-tech, cute, nonprofit, immigrant, skeptical, aging, low-income, interstate +British (BNC) / -American (COCA) The following are just a sampling of the words that are much more common in the BNC than in COCA.
Recommended publications
  • 3 Corpus Tools for Lexicographers
    Comp. by: pg0994 Stage : Proof ChapterID: 0001546186 Date:14/5/12 Time:16:20:14 Filepath:d:/womat-filecopy/0001546186.3D31 OUP UNCORRECTED PROOF – FIRST PROOF, 14/5/2012, SPi 3 Corpus tools for lexicographers ADAM KILGARRIFF AND IZTOK KOSEM 3.1 Introduction To analyse corpus data, lexicographers need software that allows them to search, manipulate and save data, a ‘corpus tool’. A good corpus tool is the key to a comprehensive lexicographic analysis—a corpus without a good tool to access it is of little use. Both corpus compilation and corpus tools have been swept along by general technological advances over the last three decades. Compiling and storing corpora has become far faster and easier, so corpora tend to be much larger than previous ones. Most of the first COBUILD dictionary was produced from a corpus of eight million words. Several of the leading English dictionaries of the 1990s were produced using the British National Corpus (BNC), of 100 million words. Current lexico- graphic projects we are involved in use corpora of around a billion words—though this is still less than one hundredth of one percent of the English language text available on the Web (see Rundell, this volume). The amount of data to analyse has thus increased significantly, and corpus tools have had to be improved to assist lexicographers in adapting to this change. Corpus tools have become faster, more multifunctional, and customizable. In the COBUILD project, getting concordance output took a long time and then the concordances were printed on paper and handed out to lexicographers (Clear 1987).
    [Show full text]
  • LDL-2014 3Rd Workshop on Linked Data in Linguistics
    3rd Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing Workshop Programme 08:30 - 09:00 – Opening and Introduction by Workshop Chair(s) 09:00 – 10:00 – Invited Talk Piek Vossen, The Collaborative Inter-Lingual-Index for harmonizing wordnets 10:00 – 10:30 – Session 1: Modeling Lexical-Semantic Resources with lemon Andon Tchechmedjiev, Gilles Sérasset, Jérôme Goulian and Didier Schwab, Attaching Translations to Proper Lexical Senses in DBnary 10:30 – 11:00 Coffee break 11:00-11:20– Session 1: Modeling Lexical-Semantic Resources with lemon John Philip McCrae, Christiane Fellbaum and Philipp Cimiano, Publishing and Linking WordNet using lemon and RDF 11:20-11:40– Session 1: Modeling Lexical-Semantic Resources with lemon Andrey Kutuzov and Maxim Ionov, Releasing genre keywords of Russian movie descriptions as Linguistic Linked Open Data: an experience report 11:40-12:00– Session 2: Metadata Matej Durco and Menzo Windhouwer, From CLARIN Component Metadata to Linked Open Data 12:00-12:20– Session 2: Metadata Gary Lefman, David Lewis and Felix Sasaki, A Brief Survey of Multimedia Annotation Localisation on the Web of Linked Data 12:20-12:50– Session 2: Metadata Daniel Jettka, Karim Kuropka, Cristina Vertan and Heike Zinsmeister, Towards a Linked Open Data Representation of a Grammar Terms Index 12:50-13:00 – Poster slam – Data Challenge 13:00 – 14:00 Lunch break 14:00 – 15:00 – Invited Talk Gerard de Mello, From Linked Data to Tightly Integrated Data 15:00 – 15:30 – Section 3: Crosslinguistic
    [Show full text]
  • “Lexicography in the Digital World” Krabi, Thailand 8
    ASIALEX 2018 “Lexicography in the Digital World” Krabi, Thailand 8th – 10th June, 2018 Programme and Abstracts http://www.kmitl.ac.th/asialex/ Organisers The Asian Association for Lexicography (ASIALEX) King Mongkut’s Institute of Technology Ladkrabang (KMITL) WELCOME MESSAGE On behalf of ASIALEX 2018 Organising Committee, we are delighted to welcome you to the conference in Krabi during the 8th to 10th of June, 2018. We would like to give a Thai traditional greeting ‘Sawasdee’ to you all of our honoured guests. The 12th International Conference of the Asian Association for Lexicography (ASIALEX 2018) is supported by King Mongkut’s Institute of Technology Ladkrabang, Thailand. This year, the theme of the conference is Lexicography in the digital World. We are grateful to have five distinguished keynote speakers: Pedro A. Fuertes-Olivera from University of Valladolid (Spain), Pam Peters from Macquarie University (Australia), John Simpson from University of Oxford (England), Shigeru Yamada from Waseda University (Japan), and Virach Sornlertlamvanich from Thammasart University (Thailand). A total number of 43 papers have been submitted from around the world. All papers have been peer reviewed by Scientific Committee. Apart from participating in the conference, we invite you to explore the most beautiful beaches and city of Krabi on the west coast of southern Thailand. It offers not only the nature, but also a unique treasure trove of cultural attractions such as temples and traditional ways of life of the southern part of Thailand. We hope that you have a fabulous experiencing net-working during the conference and enjoy spending time on fantastic white-sand beaches and turquoise water in Krabi, the most beautiful venue in Thailand.
    [Show full text]
  • Conception D'une Chaîne De Traitement De La Langue Naturelle Pour Un Agent Conversationnel Assistant
    Conception d’une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant François Bouchet To cite this version: François Bouchet. Conception d’une chaîne de traitement de la langue naturelle pour un agent conver- sationnel assistant. Informatique [cs]. Université Paris Sud - Paris XI, 2010. Français. tel-00607298 HAL Id: tel-00607298 https://tel.archives-ouvertes.fr/tel-00607298 Submitted on 8 Jul 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Conception d’une Chaîne de Traitement de la Langue Naturelle pour un Agent Conversationnel Assistant François BOUCHET LIMSI-CNRS École Doctorale d’Informatique Université Paris-Sud 11 – Orsay Soutenue le 29 juin 2010 devant le jury composé de : Rapporteurs : Guy LAPALME Professeur – Université de Montréal, RALI Sylvie PESTY Professeur – Université Pierre Mendès-France, LIG Examinateurs : Catherine PELACHAUD Directeur de Recherche – LTCI, Télécom ParisTech Anne VILNAT Professeur – Université Paris-Sud 11, LIMSI-CNRS Directeur : Jean-Paul SANSONNET Directeur de Recherche – LIMSI-CNRS Remerciements Bien qu’issu d’une longue phase rédactionnelle en solitaire, ce manuscrit n’aurait jamais pu voir le jour sans les années qui l’ont précédé, et je tiens donc à rendre hommage à toutes les personnes avec qui j’ai pu être amené à interagir au cours de cette période.
    [Show full text]
  • Constitution D'un Corpus Oral Defle : Enjeux Théoriques Et Méthodologiques - 2015 Arbach, Najib
    Constitution d'un corpus oral deFLE : enjeux th´eoriques et m´ethodologiques Najib Arbach To cite this version: Najib Arbach. Constitution d'un corpus oral deFLE : enjeux th´eoriqueset m´ethodologiques. Linguistique. Universit´eRennes 2, 2015. Fran¸cais. <NNT : 2015REN20014>. <tel-01147632> HAL Id: tel-01147632 https://tel.archives-ouvertes.fr/tel-01147632 Submitted on 30 Apr 2015 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. THÈSE / UNIVERSITÉ RENNES 2 présentée par sous le sceau de l’Université européenne de Bretagne Najib Arbach pour obtenir le titre de DOCTEUR DE L’UNIVERSITÉ RENNES 2 Discipline : Linguistique EA 3874 LIDILE École doctorale - Arts, Lettres, Langues UFR Langues Thèse soutenue le 6 février 2015 Constitution d’un corpus oral devant le jury composé de : Marie-Claude LE BOT de FLE Professeure, Université Rennes 2 / Directrice de thèse Paul CAPPEAU Enjeux théoriques et méthodologiques Professeur, Université de Poitiers / Rapporteur Dominique LEGALLOIS Maître de Conférences-HDR, Université de Caen / Rapporteur Élisabeth RICHARD Maître de Conférences-HDR, Université Rennes 2 / Examinatrice Arbach, Najib. Constitution d'un corpus oral deFLE : enjeux théoriques et méthodologiques - 2015 Arbach, Najib. Constitution d'un corpus oral deFLE : enjeux théoriques et méthodologiques - 2015 RÉSUMÉ Les méthodologies de constitution de corpus linguistiques ont été amplement étudiées, mais sont moins abondantes quand il s’agit de corpus oraux ; ces méthodologies sont encore plus rares en ce qui concerne l’interlangue orale.
    [Show full text]
  • ENGLISH CONTEMPORARY CORPORA Parpieva Shahnoza Muratovna, Uzbekistan State World Languages University, Second Year Master’S Student
    Proceedings of International Congress on Multidisciplinary Studies Hosted from Samsun, Turkey https://conferencepublication.com December 24th, 2020 ENGLISH CONTEMPORARY CORPORA Parpieva Shahnoza Muratovna, Uzbekistan state world languages university, second year master’s student A linguistic corpus is a collection of texts created in accordance with certain principles (machine- readable, unified, structured, marked up, philologically competent) and provided with a specialized search engine. The linguistic corpus can include both written texts (newspaper, magazine articles and literary works) and spoken transcripts of radio and television programs. Depending on the purpose of its creation, the corpus may include texts of one or more authors of different literary genres, written in a certain historical period. The entire array of texts in the corpus is systematized. The corpus records the order of each word in the sentence in relation to other words and also takes into account the frequency of its use in this corpus. The largest number of corpora is based on the English language, which can be explained by its prevalence, as well as the high level of development of corpus linguistics in the United States and in Great Britain. Among the first national corpora was the British National Corpus (BNC), which is considered as a reference today, since most modern linguistic corpora were created on its model. This corpus was developed at the Oxford University with the participation of the Lancaster University, the British Library, the Oxford University Press, Longman and W. & R. Chambers from 1991 to 1994. The volume of the corpus is more than 100 million words, 90 percent of which correspond to written texts, 10 percent – to spoken ones [1].
    [Show full text]
  • 3Rd Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing, Reykjavik, Iceland, 27 May 2014 - 27 May 2014, 55-60
    Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2014 Typology with Graphs and Matrices Moran, Steven ; Cysouw, Michael Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-103786 Conference or Workshop Item Originally published at: Moran, Steven; Cysouw, Michael (2014). Typology with Graphs and Matrices. In: 3rd Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing, Reykjavik, Iceland, 27 May 2014 - 27 May 2014, 55-60. 3rd Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing Workshop Programme 08:30 - 09:00 – Opening and Introduction by Workshop Chair(s) 09:00 – 10:00 – Invited Talk Piek Vossen, The Collaborative Inter-Lingual-Index for harmonizing wordnets 10:00 – 10:30 – Session 1: Modeling Lexical-Semantic Resources with lemon Andon Tchechmedjiev, Gilles Sérasset, Jérôme Goulian and Didier Schwab, Attaching Translations to Proper Lexical Senses in DBnary 10:30 – 11:00 Coffee break 11:00-11:20– Session 1: Modeling Lexical-Semantic Resources with lemon John Philip McCrae, Christiane Fellbaum and Philipp Cimiano, Publishing and Linking WordNet using lemon and RDF 11:20-11:40– Session 1: Modeling Lexical-Semantic Resources with lemon Andrey Kutuzov and Maxim Ionov, Releasing genre keywords of Russian movie descriptions as Linguistic Linked Open Data: an experience report 11:40-12:00– Session 2: Metadata
    [Show full text]
  • The Design and the Construction of the Traditional Arabic Lexicons Corpus (The TAL-Corpus)
    Modern Applied Science; Vol. 13, No. 2; 2019 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Design and the Construction of the Traditional Arabic Lexicons Corpus (The TAL-Corpus) Majdi Sawalha1 1 Department of Computer Information Systems, King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. E-mail: [email protected] Correspondence: Majdi Sawalha, Department of Computer Information Systems, King Abdullah II School for Information Technology, The University of Jordan, Amman, 11942, Jordan. E-mail: [email protected] Received: Oct. 20, 2018 Accepted: Nov. 28, 2018 Online Published: January 9, 2019 doi:10.5539/mas.v13n2p95 URL: https://doi.org/10.5539/mas.v13n2p95 Abstract Arabic lexicography is a well-established and deep-rooted art of Arabic literature. Computational lexicography, invests computational and storage powers of modern computers, to accelerate long-term efforts in lexicographic projects. A collection of 23 machine-readable dictionaries, which are freely available on the web, were used to build the Corpus of Traditional Arabic lexicons (the TAL-Corpus). The purpose for constructing the TAL-Corpus is to collect and organize well-established and long traditions of traditional Arabic lexicons which can also be used to create new corpus-based Arabic dictionaries. The compilation of the TAL-Corpus followed standard design and development criteria that informed major decisions for corpus creation. The corpus building process involved extracting information from disparate formats and merging traditional Arabic lexicons. As a result, the TAL-Corpus contains more than 14 million words and over 2 million word types (different words).
    [Show full text]
  • Lexicographic Evidence
    3 Lexicographic evidence 3.1 What makes a dictionary 3.5 Collecting corpus data 76 ‘reliable’? 45 3.6 Processing and annotating 3.2 Citations 48 the data 84 3.3 Corpora: introductory 3.7 Corpus creation: remarks 53 concluding remarks 93 3.4 Corpora: design issues 57 This chapter (see Figure 3.1) explains how to design, acquire, and process a collection of linguistic data which will form the raw material for your dictionary. We will look first at citations and then – in greater detail – at lexicographic corpora. Software for querying the data in a corpus is discussed in the next chapter (§4.3.1), and the process of analysing corpus data to create dictionary text is covered in Chapters 8 and 9. 3.1 What makes a dictionary ‘reliable’? Dictionaries describe the vocabulary of a language. For any given word, a good dictionary tells its readers the ways in which that word typically contributes to the meaning of an utterance, the ways in which it combines with other words, the types of text that it tends to occur in, and so on. Clearly it is desirable that this account is reliable. A reliable dictionary is one whose generalizations about word behaviour approximate closely to the ways in which people normally use (and understand) language when engaging in real communicative acts (such as writing novels or business Copyright © 2008. OUP Oxford. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law. EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 3/8/2018 1:55 AM via UNIWERSYTET IM.
    [Show full text]
  • Corpus Linguistics: Developing a Multianalysis Text Tool
    DEPARTAMENT DE FILOLOGIA ANGLESA I DE GERMANÍSTICA Corpus Linguistics: Developing a Multianalysis Text Tool Treball de Fi de Grau Author: Remo Garcia Pellicer Supervisor: Ana Fernández Montraveta Grau d’Estudis Anglesos June 2021 ACKNOWLEDGEMENTS Thanks to my supervisor, Ana Fernández, for guiding me through the process of completing my TFG. TABLE OF CONTENTS Index of figures ................................................................................................................. ii Abstract ............................................................................................................................. 1 1. Introduction .................................................................................................................. 2 2. A brief history of corpus linguistics ............................................................................. 3 3. The use of corpora in different fields of research ......................................................... 6 3.1 Corpora in translation ............................................................................................. 6 3.2 Corpora in English language teaching .................................................................... 7 4. Methodology of corpus creation ................................................................................... 8 4.1 Annotation layers .................................................................................................... 9 4.2 Providing multiple analysis tools within corpora ................................................
    [Show full text]
  • The Cambridge Companion to English Dictionaries Edited by Sarah Ogilvie Index More Information
    Cambridge University Press 978-1-108-42890-3 — The Cambridge Companion to English Dictionaries Edited by Sarah Ogilvie Index More Information Index Académie française, 73, 119, 144 Burchfield, Robert, 177–8, 281 Accademia della Crusca, 119, 137 Burnell, Arthur Coke, 283 Adelung, Johann Christoph, 73 Advanced Learner’s Dictionary of Current English, Cambridge International Dictionary of English, 35, 197–8, 200, 233, 286 201, 202–3, 271 Ainsworth, Robert, 71, 130, 132 Canadian English, 255–64 Allsopp, Richard, 302 and American English, 257, 258 American Dialect Society, 307 and British colonisation, 256 American Dictionary of the English Language, 48, and national identity, 258 95, 146, 159–60, 161, 171 Canadian Oxford Dictionary, 97, 255, 258–9, American English, 13, 41, 97, 157–69, 177, 201, 261–4 204, 223, 226, 271, 308 Caribbean English, 298–305 and national identity, 158, 163 and British colonisation, 299–300 regional usage of, 164, 167, 168, 306–14 definition of, 299 American Heritage Dictionary of the English Cassell’s Dictionary of Slang, 84 Language, 32, 53–7, 165, 168 Cassidy, Frederic G., 168, 300–1, 306, 308–9 Anglo-Indian dictionaries, 282–4 Cawdrey, Robert, 2, 7–8, 47–8, 57, 69, 91, 104, antonymy, 46, 200, 202 106–13, 116 Australian English, 265–73 Century Dictionary, 95, 97–8, 166 and Aboriginal languages, 266, 267, 277 Chambers publishing company, 18, 23, 315 and national identity, 268, 270 Chambers, Ephraim, 92, 93, 95, 131 Australian National Dictionary, 269 Chapman, Robert L., 81, 84 Church, Ken, 24–5, 241 B. E.’s dictionary, 76–7 COBUILD English Language Dictionary, 20–1, Bailey, Nathaniel, 9, 10, 70, 71, 73, 76, 77, 90, 23–4, 42, 98, 100, 199–202, 205–6, 210, 92–4, 122, 130–1, 132–3, 136–8, 146, 148, 220–1, 223, 234–6, 240 150–2 Cockeram, Henry, 8, 63, 91, 113, 117–19 Barnhart, Clarence L., 162 Coleridge, Herbert, 171–3, 176 bilingual dictionaries, 2, 8, 32, 42, 62, 63, 66, Coles, Elisha, 9, 76, 90, 91–2, 100 67–9, 70, 72, 73, 90, 130, 132, 137, 195, 226 Collins publishing company, 20, 97, 220, Blount, Thomas, 9, 69–70, 91, 120–6 269, 281 BNC.
    [Show full text]
  • English Lexical and Semantic Loans in Informal Spoken Polish
    Title: English lexical and semantic loans in informal spoken Polish Author: Marcin Zabawa Citation style: Zabawa Marcin. (2012). English lexical and semantic loans in informal spoken Polish. Katowice : Wydawnictwo Uniwersytetu Śląskiego. 1.1 The.............. ½ 1 ENGLISH LEXICAL AND SEMANTIC LOANS IN INFORMAL SPOKEN POLISH 2 ½ Contents NR 2951 Contents ½ 3 Marcin Zabawa ENGLISH LEXICAL AND SEMANTIC LOANS IN INFORMAL SPOKEN POLISH Wydawnictwo Uniwersytetu Śląskiego Katowice 2012 4 ½ Contents Editor ot the Series: Językoznawstwo Neofilologiczne Maria Wysocka Referee Elżbieta Mańczak-Wohlfeld After this edition is out of print, the book will be available online Śląska Biblioteka Cyfrowa www.sbc.org.pl Executive Editor: Krystian Wojcieszuk Cover Design: Paulina Dubiel Technical Editor: Małgorzata Pleśniar Proofreader: Danuta Stencel Computer-generated forms: Edward Wilk Copyright © 2012 by Wydawnictwo Uniwersytetu Śląskiego All rights reserved ISSN 0208-6336 ISBN 978-83-226-2036-6 Published by Wydawnictwo Uniwersytetu Śląskiego ul. Bankowa 12B, 40-007 Katowice www.wydawnictwo.us.edu.pl e-mail: [email protected] First impression. Printed sheets: 13.5. Publishing sheets: 18.5. Paper: Ecco Book 60 g/m2, vol. 1.6 Price: 24 zł (+ VAT) Printing and binding: PPHU TOTEM s.c. M. Rejnowski, J. Zamiara ul. Jacewska 89, 88-100 Inowrocław Contents ½ 5 CONTENTS ACKNOWLEDGEMENTS .................. 9 INTRODUCTION .................... 11 Chapter 1 SPOKEN LANGUAGE AS A LINGUISTIC PHENOMENON .......... 15 1.1 Introduction ................... 15 1.2 The primacy of speech over writing and vice versa ........ 15 1.3 Differences between speech and writing ........... 18 1.3.1 Introductory remarks ............... 18 1.3.2 List of the differences ............... 20 1.4 Research done in the field of spoken Polish .........
    [Show full text]