Using online databases in the linguistics classroom: dealing with clause patterns

Comelles, Elisabet; Laso, Natalia Judith; Forcadell, Montserrat; Castaño, Emilia; Feijóo, Sara; Verdaguer, Isabel

doi:10.1080/09588221.2012.658407

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…References to integration are vague and usually reflected in the literature review or in the discussion sections rather than in the methodology paragraphs (e.g., Geluso, 2014;Ranalli, 2013). While Comelles et al (2013) claim that integrating corpus applications in the language classroom facilitates reflection on genuine data, Pérez-Paredes et al (2011) suggest that DDL can benefit from its integration with online resources whose use is more normalised in language education, mainly search websites and dictionaries. Other researchers, however, argue that their experiments confirm successful integration of DDL and corpora.…”

Section: Syllabus Integrationmentioning

confidence: 99%

A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015

Pérez-Paredes

2019

Computer Assisted Language Learning

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This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers & Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research represented 4.2% of all published papers on CALL during this time frame. The main focus of research was found to be the use of concordancing and collocations when developing university students' writing skills. Contrary to previous research, access to technology was not identified as an impeding factor for normalisation. Syllabus integration and a lack of contribution from language teachers other than researchers emerged as threats to the normalisation of corpora use. Further theorisation is needed if DDL and corpora are to expand their influence on mainstream second language education.

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Section: Syllabus Integrationmentioning

confidence: 99%

A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015

Pérez-Paredes

2019

Computer Assisted Language Learning

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“…It is widely accepted that the Web corpus has merely been employed as linguistic datato corroborate linguists' intuitions about the frequency of occurrences of individual words, phrasal verbs, collocations, and idioms (Wierzbicka, 2009). However, more recently, as some researchers (Afendi Hamat & Mohamed Amin Embi, 2009;Chambers et al, 2011;Comelles et al, 2012;Conroy, 2010;Geluso, 2011;Park & Kinginger, 2010;Sha, 2010;Shei, 2008;Wu, Franken & Witten, 2009 ;Wu, Witten & Franken, 2010;Yoon, 2011) have discerned, the Web is also a particularly valuable source of authentic, natural and contextualized language patterns (concordances, collocations, colligations, chunks, phrases, idioms, Formulaic Sequences, etc)( definitions of pattern put forward by , Kennedy & Miceli, 2010;Wood, 1981) and on-line dictionaries invaluable for pedagogical applications including L2 writing. From the point of view of cognitive linguistics, what is perceived as authentic and natural language is in connection with phraseology, based on frequency of occurrences, rooted in usage-based theory of language acquisition (Bybee, 2006;Geluso, 2011).…”

Section: The Web Corpus and Language Patternsmentioning

confidence: 99%

“…The Web, simply owing to its absolute size, is a well-suited recourse to provide insights into the frequency of occurrence of patterns, in turn natural language. Needless to say that, linguistic patterns are abundant in both written and spoken discourse (Bybee, 2006;Erman & Warren, 2000), hence for the ESL/EFLlearner seeking for frequent linguistic patterns in L2 writing, the Web corpus can be a valuable tool (Chambers, Farr & Riordan, 2011 ;Comelles et al, 2012;Conroy, 2010;Geluso, 2011;Sha, 2010;Stapleton & Radia, 2009). To access the Web corpora, although there are many search engines (such as Google, Alta Vista, Yahoo, MSN, etc), Google has appeared to have become a popular search engine for this function, mainly because it is capable of doing much more than just ordinary search.…”

Section: The Web Corpus and Language Patternsmentioning

confidence: 99%

Google-Informed Patter-Hunting and Pattern-Defining: Implication for Language Pedagogy

Panah

Yunus

Embi

2013

ASS

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The use of the Web as a corpus and Google as a concordancer, has been regarded as one of the promising areas that has a potential for revolutionizing language pedagogy in general, and second language (L2) writing, in particular. More specifically, it is believed that the functions of Google-Informed Pattern-Hunting (GIPH) and Google-Informed Pattern-Defining (GIPD) can promote natural L2 writing through Discovery Learning (DL) and Data Driven Learning (DDL), however, these advantages have mostly been given lip services than tested with first hand empirical studies, and only more recently some studies have been undertaken in this vein. Focusing on L2, this article explored how and to what extent this great potential of GIPH and GIPD has been recognized by reviewing the related studies, thereby some factors and themes (such as Learning Style, Training, Naturalness, Tidiness, Speed, Number of Retrieval, and Proficiency) have been extracted and elaborated on. However, due to the novelty of the area, the themes are mostly the outcome of researchers’ descriptions and interpretations than empirical studies. The inclusion criteria for the present review were studies that focus on the application of the Web as a corpus and Google as a concordance for language learning and L2 writing based on researchers’ and learners’ evaluation of it. Seven studies included in the present review show that learners’ use of GIPH and GIPD champions the promotion of their language learning and L2 writing, providing that proper training and scaffolding are provided. Future studies are also recommended based on the gaps and deficiencies identified in the reviewed researches

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“…), has been proven by many scholars (Comelles et al [4]; Conroy [5]; Geluso [6]; Park [7]; Sha [8]; Yoon [9], Panah et al [10]). From the standpoint of cognitive linguistics, what is perceived as an authentic and natural language, is directly related to phraseology based on usage frequency rooted into the functional method of language acquisition [6].…”

Section: Introductionmentioning

confidence: 99%

“…It is evident that both written and oral speech is characterized by a vast number of such stable linguistic combinations and language patterns; therefore, a web corpus represents an irreplaceable tool for EFL students. [4,5,6,8] At present, there is a fairly large number of search engines (Google, Alta Vista, Yahoo, MSN) providing access to the corpus of language data. Google is believed to be the most popular search system due to its ease of use, time rate, search functionality and representativity as well.…”

Section: Introductionmentioning

confidence: 99%

Using Google to Search Language Patterns in Web-Corpus: EFL Writing Pedagogy

Kvashnina

Sumtsova

2018

Int. J. Emerg. Technol. Learn.

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Abstract-The use of the Web as a corpus of language data and Google as a concordancer has been considered as one of the promising directions in the development of the EFL pedagogy. It has been stated by several researchers that the use of the popular search engine Google to search and define authentic language patterns is mostly advantageous for teaching EFL writing as well as mastering learner autonomy of the EFL students. The present article focuses on the advantages and opportunities of Google as a search engine in the Web-corpus for EFL writing pedagogy in technical universities. The authors compare the results of the current investigation with the outcomes of their previous study aimed at examining the potential of traditional linguistic corpora for EFL classroom. Although there is a strong need for further in-depth study of the considered issue, the comparative results obtained at this stage reveal high potential and remarkable advantage of the global web as a corpus, and Google as a search and access tool to authentic language patterns.

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Using online databases in the linguistics classroom: dealing with clause patterns

Cited by 8 publications

References 13 publications

A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015

A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015

Google-Informed Patter-Hunting and Pattern-Defining: Implication for Language Pedagogy

Using Google to Search Language Patterns in Web-Corpus: EFL Writing Pedagogy

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