Advances in Corpus Linguistics: Papers from the 23rd International Conference on English Language Research on Computerized Corpora (ICAME 23) (review)

Language ◽  
2007 ◽  
Vol 83 (1) ◽  
pp. 215-215
Author(s):  
Hans. Lindquist
Keyword(s):  
Corpus Linguistics ◽  
English Language ◽  
International Conference ◽  
Language Research

Corpus Linguistics, Hard and Soft: Proceedings of the Eighth International Conference on English Language Research on Computerized Corpora

Language ◽  
1989 ◽  
Vol 65 (4) ◽  
pp. 843
Author(s):  
W. N. Francis ◽  
Merja Kytö ◽  
Ossi Ihalainen ◽  
Matti Rissanen ◽  
Merja Kyto
Keyword(s):  
Corpus Linguistics ◽  
English Language ◽  
International Conference ◽  
Language Research

scholarly journals TRANSFORMAÇÕES LEXICO-SEMÂNTICAS CORRELATAS À INFLUÊNCIA DA INTERNET

Trama ◽  
2020 ◽  
Vol 16 (37) ◽  
pp. 4-17
Author(s):  
Luiz Henrique Mendes BRANDÃO ◽  
Jesiel Soares SILVA
Keyword(s):  
New York ◽  
Los Angeles ◽  
Corpus Linguistics ◽  
English Language ◽  
American English ◽  
English Word ◽  
Annual Review ◽  
Syntactic Variation ◽  
Language Research ◽  
Causative Construction

Neste trabalho, objetivou-se analisar as transformações ocorridas no uso da linguagem por parte de seus usuários tendo como base o período correspondente ao início dos anos 90, momento histórico em que a internet ainda não havia sido popularizada no mundo, em comparação ao ano de 2017, período marcado pelo amplo acesso à internet, principalmente nos países mais desenvolvidos. Para tal, realizou-se uma investigação tendo como base o COCA (Corpus of Contemporary American English) com o intuito de se verificar, através da associação de palavras com seus colocados, como alguns termos eram utilizados antes da popularização da internet e após o mesmo fenômeno. Através da análise estatística dos insumos, foi possível identificar que certos termos da língua (neste caso da língua inglesa) passaram a ser utilizados mais frequentemente para expressar algo relacionado à tecnologia, tendo sido os sentidos anteriores rebaixados, nesta transformação semântica, a uma frequência menor ou muito menor de uso após a realidade do acesso amplo à internet, o que representa uma transformação léxico-semântica propiciada por um fenômeno de alcance global que influencia a vida das pessoas de modo a ressignificar o uso que fazem do mundo e consequentemente a metalinguagem que utilizam nas trocas que realizam com o mesmo.REFERÊNCIASBENSON, M., BENSON, E., ILSON, R. (orgs.)The BBI dictionary of english word combinations. Amsterdã/Filadélfia: John Benjamins, 1986.BIBER, D. Variation across speech and writing. Cambridge: Cambridge University Press, 1988Davies, Mark. The Corpus of Contemporary American English (COCA): 600 million words, 1990-present, 2008. Disponível em: https://www.english-corpora.org/coca/. Acesso em: 19 fev. 2020.CASTELLVI, Maria Teresa CABRÉ. La clasificación de neologismos. Alfa, São Paulo, 50 (2): 229-250, 2006DAVIES, Mark. The Corpus of Contemporary American English as the first reliable monitor corpus of English. Literary and Linguistic Computing, Brigham, v. 25, n. 4, 2010. Disponível em: https://academic.oup.com/dsh/article-abstract/25/4/447/997323?redirectedFrom=fulltext. Acesso em: 21 ago. 2019.FRANCIS, W. N.; KUCERA, H. Frequency analysis of English usage: lexicon and grammar. Boston: Houghton Mifflin, 1982DAVIES, Mark; KIM, Jong-Bok. Historical shifts with the INTO-CAUSATIVE construction in American English. The Gruyter mouton, [S.L.], v. 57, n. 1, 2019. Disponível em: http://web.khu.ac.kr/~jongbok/research/2019/2019-ahci-into-historical-shift-linguistics.pdf Acesso em 21 ago. 2019DICIONÁRIO PRIBERAM DA LÍNGUA PORTUGUESA. Desenvolvido por Lello editores, Porto, 1996 e 1999. Licensiado à Priberam em 2008. Disponível em: https://dicionario.priberam.org/sobre.aspx Acesso em 21 ago. 2019KJELLMER, G. A. A dictionary of English collocations: based on the Brown Corpus, v. 3. Oxford: Oxford University Press, 1994KREMELBERG, David. Practical statistic: a quick and easy guide to IBM ℗ SPSS ℗ Statistics, STATA, and other statistical software. Sage: Los Angeles, 2011.MC ENERY, Tony, et al. Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use. Annual Review of Applied Linguistics (2019), 39, 74–92MODIS, Theodore. The end of the internet rush. Technological Forecasting Social Change, Lugano, v. 72, n. 8, 2005. Disponível em: https://www.sciencedirect.com/science/article/pii/S0040162505000843 Acesso em: 21 ago. 2019OLIVEIRA, Lúcia Pacheco de. Linguística de corpus: Teoria, interfaces e aplicações. Matraga, Rio de janeiro, v. 16, n. 24, 2009. Disponível em: https://www.e-publicacoes.uerj.br/index.php/matraga/article/view/27796. Acesso em: 21 ago. 2019PARTINGTON, A. Patterns and meanings: using corpora for english language research and teaching. Amsterdã/Filadélfia: John Benjamnins, 1998ROBINSON, Mary; DUNCAN, Daniel (2019) Holistic Approaches to Syntactic Variation: Wh-all Questions in English. University of Pennsylvania Working Papers in Linguistics: v. 25, n. 1 , 2019. Disponível em: https://repository.upenn.edu/pwpl/vol25/iss1/23/. Acesso em: 21 ago. 2019SANCHEZ, A. Definición e historia de los corpos. In: SANCHEZ, A. et al. (orgs.). CUMBRE: corpus linguístico de español contemporaneo. Madri: SGEL, 1995, p. 7-24.BERBER SARDINHA.  T. Linguística de Corpus. Barueri, SP: Manole, 2004.SINCLAIR, J. McH. Beginning the study of lexis. In: BAZELL, C. E. In memory of R. Firth. Londres: Longman, 1966, p. 410-430.SVARTVIK, Jan. Corpora are becoming mainstream. In: THOMAS, J. and SHORT, M. (orgs). Using corpora for language research. London and New York: Longman,1996. p 3-13.Recebido em 16-11-2019 | Aceito em 12-02-2020

scholarly journals Sketch Engine in Building a Lexical Minimum for Children

2019 ◽  
Vol 9 (1) ◽  
pp. 5105-5108
Keyword(s):  
Computational Linguistics ◽  
Computer Technology ◽  
Corpus Linguistics ◽  
English Language ◽  
Case Manager ◽  
Foreign Languages ◽  
School Age ◽  
Language Research ◽  
The Many ◽  
Primary School Age

Our article deals with such an aspect of computational linguistics as the construction of lexical minima cases using the Sketch Engine program as an example. The advent of computational linguistics has played an important role in the process of learning foreign languages. Thanks to computer technology, the process of learning foreign languages is greatly simplified and becomes more accessible. Among the many programs for learning foreign languages, we chose the Sketch Engine program, since it is a case manager and a tool for analyzing linguistic buildings, that is, collections of texts selected and processed according to certain rules, which are used as the basis for language research. This resource is software that combines a specialized search engine and a lot of buildings in different languages. We describe the program through the prism of corpus linguistics, consider the functions and capabilities of this program Sketch Engine in drawing up the lexical minimum for primary school age in English, Russian and German. In this paper, we conducted an experiment on drawing up a lexical minimum for schoolchildren, which consisted in selecting 300 most used words of the English language and saturating them with examples from the cases of the Sketch Engine program.

Vocabulary size research at Victoria University of Wellington, New Zealand

2014 ◽  
Vol 47 (3) ◽  
pp. 398-403 ◽  
Author(s):  
Paul Nation ◽  
Averil Coxhead
Keyword(s):  
New Zealand ◽  
Corpus Linguistics ◽  
English Language ◽  
Vocabulary Size ◽  
Language Studies ◽  
Language Research ◽  
History Of ◽  
English Language Institute

The English Language Institute (now the School of Linguistics and Applied Language Studies) at Victoria University of Wellington has a long history of corpus-based vocabulary research, especially after the arrival of the second director of the institute, H. V. George, and the appointment of Helen Barnard, whom George knew in India. George's successor, Graeme Kennedy, also saw corpus linguistics as a very fruitful and important area of applied language research.

scholarly journals Doing Corpus Linguistics: Toward a Conceptual Framework for Indicator of Gender in English Language and Education

sjesr ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 262-267
Author(s):  
Abdul Ghaffar Bhatti ◽  
Muhammad Imran ◽  
Muhammad Younas
Keyword(s):  
Corpus Linguistics ◽  
English Language ◽  
Linguistic Terms ◽  
Written Text ◽  
Language Research ◽  
Males And Females ◽  
Research Questions ◽  
British National Corpus ◽  
Language And Education ◽  
National Corpus

Technology plays a pivotal role in the ESL teaching and education sector. In language teaching, gender and language research mostly favors the idea of potential differences in language use between men and women. This paper explores different indicators of gender in the writing of males and females in a large subset of the British National Corpus (BNC) covering the domain of fiction with the application of the Corpus tool. Robin Lakoff's four key linguistic terms that mark female language have been used as benchmarks against which the study has been conducted. Previous researchers like Argamon, Koppel, and Shimoni claim that females use more pronouns and a smaller number of nouns as compared to men. The hits and frequencies of Lakoff's terms and researchers' claims have been checked on BNC to get at the empirical findings. Taking general corpus BNC, corpus research method has been used to answer the research questions. The study found a substantial difference in the documents authored by male and female written text. It was also found that females use many more pronouns and males use many more nouns. Assumptions made regarding Lakoff's terms have been partially substantiated since the results vary a little concerning the use of empty adjectives like 'cute' and 'divine'. The work is a valuable addition to the existing corpus of knowledge about gender differences in language and it provides space for researchers to work in even broader perspectives.

Primary Crime Prevention Apps: A Typology and Scoping Review

2021 ◽  
pp. 152483802098556
Author(s):  
Mark A. Wood ◽  
Stuart Ross ◽  
Diana Johns
Keyword(s):  
Crime Prevention ◽  
Scoping Review ◽  
Decision Aid ◽  
English Language ◽  
Web Of Science ◽  
Evidence Base ◽  
Smartphone Apps ◽  
Initial Sample ◽  
Language Research ◽  
Meta Analyses

In the last decade, an array of smartphone apps have been designed to prevent crime, violence, and abuse. The evidence base of these apps has, however, yet to analyzed systematically. To rectify this, the aims of this review were (1) to establish the extent, range, and nature of research into smartphone apps with a primary crime prevention function; (2) to locate gaps in the primary crime prevention app literature; and (3) to develop a typology of primary crime prevention apps. Employing a scoping review methodology and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, studies were identified via Web of Science, EBSCOhost, and Google Scholar. We included English-language research published between 2008 and 2020 that examined smartphone applications designed explicitly for primary crime prevention. Sixty-one publications met our criteria for review, out of an initial sample of 151 identified. Our review identified six types of crime prevention app examined in these publications: self-surveillance apps, decision aid apps, child-tracking apps, educational apps, crime-mapping/alert apps, and crime reporting apps. The findings of our review indicate that most of these forms of primary crime prevention apps have yet to be rigorously evaluated and many are not evidence-based in their design. Consequently, our review indicates that recent enthusiasm over primary crime prevention apps is not supported by an adequate evidence base.

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