By Hans Lindquist
1: Corpus linguistics; 2: Counting, calculating and annotating; three: trying to find lexis; four: Checking colligations and collocations; five: discovering words; 6: Metaphor and metonymy; 7: Grammar; eight: female and male; nine: Language switch; 10: Corpus linguistics in our on-line world; additional studying
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Extra resources for Corpus linguistics and the description of English
4. 4 auxiliaries are not separated from so-called lexical verbs, and we can see that six out of the top seven verbs are auxiliaries, which are a kind of function words in the verb category. The auxiliaries in the table have been italicised. 3 (continued) Noun party school country point week member end state word family fact head month side business night eye home question information power change per_cent interest N per million words 529 529 486 484 476 471 458 440 438 428 426 402 398 398 394 393 392 390 390 387 385 384 384 376 Note: Some multi-word units, such as per cent, are counted as one lemma in the BNC.
1 Qualitative and quantitative method The great advantage of computers over human beings is the speed and accuracy with which computers can search for material in huge databases and collections of text, manipulate data and make calculations of various sorts. In the present chapter we will see how this can be exploited in linguistic research. But first we need to say a few words about the difference between qualitative and quantitative methods. It is common to distinguish two main types of scientific method in linguistics (and in general): qualitative and quantitative.
Corpus data can easily be verified by other researchers, and researchers can share the same data instead of always compiling their own. • Corpus data are needed for studies of variation between dialects, registers and styles. • Corpus data provide the frequency of occurrence of linguistic items. • Corpus data do not only provide illustrative examples, but are a theoretical resource. ). • Corpora provide the possibility of total accountability of linguistic features – the analyst should account for everything in the data, not just selected features.
Corpus linguistics and the description of English by Hans Lindquist