By Michaela Mahlberg
ISBN-10: 9027222916
ISBN-13: 9789027222916
This e-book proposes an cutting edge method of basic nouns. basic nouns are outlined as high-frequency nouns which are characterized by means of their textual services. even if the concept that is prompted by means of Halliday & Hasan (1976), the corpus theoretical procedure followed within the current research is essentially diverse and set in a linguistic framework that prioritises lexis.
The learn investigates 20 nouns which are very common in mainstream English, as represented by means of the financial institution of English Corpus. The corpus-driven method of the knowledge includes a severe dialogue of descriptive instruments, akin to styles, semantic prosodies, and primings of lexical goods, and the idea that of 'local textual functions' is recommend to characterise the capabilities of the nouns in texts. The examine not just indicates a characterisation of common nouns, but additionally stresses that capabilities of lexical goods and homes of texts are heavily associated. This hyperlink calls for new methods of describing language.
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Additional resources for English General Nouns: A corpus theoretical approach (Studies in Corpus Linguistics)
Sample text
When the present book went into print, the Bank of English contained 450 million words of British, American, Australian and Canadian English. For my study, I used the Bank of English corpus from October 2000 which contained 418 million words, of which 307,087,676 words made up the British English component. The data of the Bank of English originates mostly from 1990–2000 and is intended to reflect the mainstream of current English (cf. Krishnamurthy 2002). The corpus consists mainly of journalistic texts (newspapers, magazines, and radio broadcasts), but it also has books (fiction, non-fiction, and academic), and an informal speech component.
A common way of annotating corpora is partof-speech tagging: each word type is assigned a label that indicates its word class. Depending on the type of information that is added, the annotation process can be carried out automatically to a certain extent. g. lemmatisers can work with corpora that are annotated with word-class tags (cf. Leech et al. ). Opinions on the usefulness of annotation vary. Annotation may be seen as ‘enriching’ a corpus with information, but it may also be interpreted as ‘corrupting’ the text with information that imposes a certain view on the data.
Hunston & Francis’ (2000) generalisations result from treating a pattern as if it were “a framework into which words with a particular meaning could be slotted” (Hunston & Francis 2000: 86) and a pattern can be described as belonging to any of its elements. In this way lexical items can be compared on the basis of surface elements which also give an indication of the meaning of the words: words that share patterns also tend to share meanings (cf. 2). However, with regard to the meaning of lexical items, the Pattern Grammar can only provide a partial picture: words that share patterns only share some Chapter 2.
English General Nouns: A corpus theoretical approach (Studies in Corpus Linguistics) by Michaela Mahlberg
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