An Analysis of Research Production in Corpus Linguistics Applied to Translation

Candel-Mora, Miguel Ángel; Vargas-Sierra, Chelo

doi:10.1016/j.sbspro.2013.10.653

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…Unlike the commonplace method of detecting and quantifying language features manually which is not only time-consuming but also subject to human error (Heng and Tan, 2010), one reliable way is to utilize corpora which are among the most versatile tools for analyzing a large ensemble of texts stored electronically (Anderman and Rogers, 2008;Vasheghani Farahani and Pahlevanzade Fini, 2023;Zanettin et al, 2003). Indeed, corpora make it plausible to look for specific language features in a large number of texts in a systematic way (Candel-Mora and Vargas-Sierra, 2013). For the purpose of the research, this study utilized two corpora: one for the written and another one for the spoken genres.…”

Section: Corpus Of the Study And Data Gathering Regimementioning

confidence: 99%

Dynamicity of interaction in academic discourse: Evidence from a corpus-based study

Farahani

2024

Forum Linguist. Stud.

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Metadiscourse features are the rhetorical devices that serve to maintain the writer-reader and speaker-audience interaction. The way metadiscourse features are utilized in spoken and written modes may differ given the nature of these two modes of communication. For this reason, the present study set to unpack the distributional pattern of metadiscourse features as well as investigate the construction and maintenance of writer-reader and speaker-audience interaction in academic written and spoken English. To achieve this goal, two corpora of The British Academic Written English Corpus and British Academic Spoken English Corpus were utilized as the data gathering resources. To categorize the metadiscourse features, Hyland’s taxonomy was selected. The quantitative analysis of the data showcased that the written corpus was more interactive oriented despite the fact that the spoken corpus showed a propensity towards the interactional category of metadiscourse features. On the other hand, the analysis of the concordance lines illustrated that academic conventions differed significantly in spoken and written academic English which resulted in a dynamic interaction between writer-reader as well as speaker-audience. The results of the study at hand may have implications in such lines of research as corpus linguistics, contrastive analysis and genre studies.

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Section: Corpus Of the Study And Data Gathering Regimementioning

confidence: 99%

Dynamicity of interaction in academic discourse: Evidence from a corpus-based study

Farahani

2024

Forum Linguist. Stud.

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“…Rather than the rudimentary and time-consuming process of detecting the existing similarities and differences out of the immediate context, researchers resort corpora to explore the differences and similarities of a language(s) in the immediate context of use (Zanettin et al, 2003;Anderman & Rogers, 2008;Candel-Mora & Vargas-Sierra, 2013, Milagrosa Pantaleon, 2018. As a matter of fact, comparing to extract and analyze language features manually which is not only time-consuming but also subject to error (Anthony, 2009), one plausible way is to apply corpora defined as "an electronically stored, searchable collection of texts" (Jones & Waller, 2015, p.6).…”

Section: Corpus Of the Studymentioning

confidence: 99%

Unpacking the function(s) of discourse markers in academic spoken English: a corpus-based study

Farahani

Ghane

2022

AJLL

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Discourse markers can have various functions depending on the context in which they are used. Taking this into consideration, in this corpus-based research, we analyzed and unveiled quantitatively and qualitatively the functions of four discourse markers in academic spoken English. To this purpose, four discourse markers, i.e., “I mean,” “I think,” “you see,” and “you know,” were selected for the study. The British Academic Spoken English (BASE) corpus was used as the data gathering source. To detect the discourse markers, concordance lines of the corpus were carefully read and analyzed. The quantitative analysis demonstrated that from among the four discourse markers, “you know” and “you see” were the most and the least frequent ones in the corpus, respectively. In line with the quantitative analysis, the qualitative analysis of the concordance lines demonstrated that there were various functions with regard to each of the four discourse markers. The findings of this study can have implications in fields such as corpus-based studies, genre analysis, and contrastive linguistics.

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“…According to the definition, a corpus is a collection of data, both ordinary data and digital data, in written form containing various kinds of linguistic information, starting from the level of words, structures, meanings, and discourses, which can be used for research (Hizbullah et al, 2016). Corpus-based study methods have proven established in linguistic research and have expanded most of its methods and language analysis techniques to other disciplines such as lexicology, terminology, language teaching and translation (Candel-mora & Vargas-sierra, 2013). Advances in information technology and computers can synergize with science linguistic or linguistic so can assist linguistic research more extensively (Gvarishvili, 2013).…”

Section: For Examplementioning

confidence: 99%

A Corpus Based Approach to the Analysis of Structures in Prepositional Phrase

Swarniti¹

2021

YB : JOELE

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The written text can not be separated from using prepositional phrase, because prepositional phrase makes a sentence complete grammatically. In this research, there was an aim that has to be achieved. Namely: to determine the structures of prepositional phrase. This research was descriptive qualitative-quantitative research. The data sources of this research were taken from phrases that have prepositional phrase in 50 articles of law. In this research, corpus linguistic was used as the method of collecting data. Corpus linguistic used an application in computer. It was AntConc3.2.4w2011. The results of the analysis were presented by using formal and informal technique. The structures of prepositional phrase found were 4 structures. They are prep + det + noun, prep + det + adj + noun, prep + noun, and prep + adj + noun. These structures were found based on some words as triggers in the software of corpus linguistics. Namely: down the, up the, around the, into the, with the, within the, through, in spite of, instead of, in the, at the and out of.

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An Analysis of Research Production in Corpus Linguistics Applied to Translation

Cited by 10 publications

References 9 publications

Dynamicity of interaction in academic discourse: Evidence from a corpus-based study

Dynamicity of interaction in academic discourse: Evidence from a corpus-based study

Unpacking the function(s) of discourse markers in academic spoken English: a corpus-based study

A Corpus Based Approach to the Analysis of Structures in Prepositional Phrase

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