By LÃ¼deling, Anke, Anke Ludeling
This instruction manual offers an updated survey of corpus linguistics. Spoken, written, or multimodal corpora function the foundation for quantitative and qualitative examine on many questions of linguistic curiosity. the quantity contains sixty one articles through the world over well known specialists. They cartoon the historical past of corpus linguistics and its dating with neighboring disciplines, express its power, talk about its difficulties, and describe a number of tools of gathering, annotating, and looking corpora, in addition to processing corpus facts. it's up to date and a whole instruction manual such as either an outline and specified discussions. It collects a number of specialists in a single and an analogous quantity.
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Extra info for Corpus Linguistics: An International Handbook (Handbooks of Linguistics and Communication Science)
These extremely skewed distributions make the application of standard statistical models to certain tasks problematic (mainly, estimating the number of word types in a population as well as related quantities), and demand specialized statistical tools. For a general survey of the problems involved, see article 37 and the references on statistical modeling of word frequency distributions recommended there. Almost every elementary statistics textbook (including those listed in the next section) will introduce t-tests, ANOVA, correlation and regression.
Use and exploitation of corpora law in terms of principles of language or communication. However, unlike in random text generation, the frequency with which a speaker selects a word will not depend on the length of the characters that compose it (the effect, as already observed by Zipf, is likely to go in the other direction, with a tendency for more frequently used words to be shortened). Thus, the random text experiments are not “explaining” Zipf’s law in natural language in any psychologically plausible sense.
Although the number of very low frequency forms is lower than in the non-lemmatized counterpart (top left panels), the overall pattern is essentially the same, which shows that such pattern cannot 811 812 V. Use and exploitation of corpora Fig. 6: Rank/frequency profiles and frequency spectra of the bigrams (top) and trigrams (bottom) in the Brown corpus be simply explained in terms of the presence of inflected forms in non-lemmatized corpora. 5 display rank/frequency profiles and frequency spectra for four more texts/corpora of very different kinds.
Corpus Linguistics: An International Handbook (Handbooks of Linguistics and Communication Science) by LÃ¼deling, Anke, Anke Ludeling