Measuring genre differences in Mark with correspondence analysis

Mealand, David L.

doi:10.1093/llc/12.4.227

Cited by 14 publications

(10 citation statements)

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“…With regard to lexical analysis, CA enables the examination of word frequencies across sets of text types and displaying of their relationships in graphical representations. Thus, CA offers not only clear, but also fast understanding of the word interrelationships [29]. Mealand [30] uses CA to extract words which contribute the most to genre differences, before further statistical tests are conducted to verify the findings.…”

Section: B Multivariate Statistics and Genre Analysismentioning

confidence: 99%

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

2019

IJITEE

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The academic discourse of a specialised language is characterised by specialised and technical vocabulary, and lexicogrammar. Studies on language description suggest the need to explore and determine the specific characteristics of the academic discourse of each specialised language, to serve the language needs of the learners. This study demonstrates an exploration of this discipline specificity by looking at the nouns used in a specialised language - an Engineering English. It attempts to integrate a multivariate technique, i.e. the Correspondence Analysis (CA), as a tool to extract significant nouns in a specialised language for any further language use scrutiny. CA allows visual representations of the word interrelationships across different genres in a specialised language. To exemplify this, an Engineering English Corpus (E2C) was created. E2C is composed of two sub-corpora (genres): Engineering reference books (RBC) and online journals articles (EJC). The British National Corpus (BNC) was used as the reference corpus. 30 key-key-nouns were identified from the E2C, and the frequency lists of the words were retrieved from all the corpora to run the CA. The CA maps of the nouns display how these corpora are different from each other, as well as, which words characterise not only E2C from a general corpus (BNC), but also the different genres in E2C. Thus, CA proves to be a potential tool to display words which characterise not only a specialised corpus from a general corpus, but also the different genres in that specialised corpus. This study promises more informed descriptions of a specialised language can be made with the identification of specific and significant vocabulary for any academic discourse investigations.

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Section: B Multivariate Statistics and Genre Analysismentioning

confidence: 99%

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

2019

IJITEE

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“…The inferences that are made here are, of course, dependent on the evidence of the chosen set of words and word-endings in the selected samples of text. Content words were included in a selection of lexical and other linguistic features used in an earlier study (Mealand 1991) along with some discussion of the over diagnosis of Semitisms. The divergent character of Hellenistic and Attic verb forms has also been discussed elsewhere, 15 so these have not been overlooked.…”

Section: Other Aspects Of the Statistical Outputmentioning

confidence: 99%

“…The experiments discussed here did not include any specific data on Hellenistic or Attic usages. That issue is discussed in an article (Mealand 1996) which examined some 20 non-Attic verb forms used in Luke-Acts. Of these 5 are found only in the LXX and/or the papyri, another 5 have some precedent in literary Greek from Herodotus to Diodorus Siculus, and 10 of the non-Attic forms are found in Dionysius or Plutarch.…”

Section: Other Aspects Of the Statistical Outputmentioning

confidence: 99%

Hellenistic Greek and the New Testament: A Stylometric Perspective

Mealand

2012

Journal for the Study of the New Testament

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New Testament texts are compared with texts from the Septuagint and from writers of Standard Hellenistic Greek (SHG). The aim is to identify which texts are similar in style to which, and which texts differ most from each other. The criteria which are used are 30 very common words and word-endings: prepositions, conjunctions, connectives, particles and some genitive endings. Such items are good stylistic markers in Greek and other languages. Results show first that texts in a more Semitic Greek (Revelation, 4 Kingdoms) differ most from Dionysius of Halicarnassus and Polybius, who make much more use of  , ,  and the genitive endings. Some might call this a difference of dialect. Luke-Acts lies between these extremes. There is also a second major type of difference between narratives and argumentative epistles, as the latter make much greater use of   , , ,  , , . Speeches and treatises lie between these extremes. This second difference is one of genre or register.

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“…Canonical discriminant analysis has found application in discriminate registers and styles in the Modern Greek language (Can & Patton, 2004) and the Gospel of St. Luke (Mealand, 1995). Correspondence analysis has been used by STYLE CONSISTENCY AND AUTHORSHIP ATTRIBUTION Dixon and Mannion (1998) to analyse Goldsmith's essays; the same technique has been used by Mealand (1997) to study the Gospels.…”

Section: Authorship Attributionmentioning

confidence: 99%

Style Consistency and Authorship Attribution: A Statistical Investigation*

Bagavandas¹,

Manimannan²

2008

Journal of Quantitative Linguistics

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This study makes an attempt to use multivariate statistical technique, specifically, canonical discriminant analysis, to establish authorial consistency in the writing styles of three scholars of Tamil language using their own articles and to attribute authorship to disputed articles written in the same period and in the same magazine. Thirty-two attributed and 23 disputed articles written on India's freedom in the year 1906 are considered for this statistical investigation. The stylistic features of this study are 24 commonly occurring function words.

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Measuring genre differences in Mark with correspondence analysis

Cited by 14 publications

References 0 publications

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

Hellenistic Greek and the New Testament: A Stylometric Perspective

Style Consistency and Authorship Attribution: A Statistical Investigation*

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