Fixed Expressions and Idioms in English: A Corpus-Based by Rosamund Moon

By Rosamund Moon

This can be a text-based research of mounted expressions, or idioms. Moon's crucial argument is that fastened expressions can in basic terms be absolutely understood in the event that they are thought of within the context of the texts within which they happen. She examines numerous thousand mounted expressions and the way they're getting used in present English. She argues that exam of the corpus increases questions about many obtained principles on fastened expressions and idioms, and means that new, use-centered, types are required.

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Yet such very large corpora are problematic without efficient and flexible tools to interrogate them: see further below. OHPC was clearly not a balanced corpus of English. There was far too little spoken data and far too great a proportion of journalism. 4 million words taken from local Oxford newspapers compensated a little for this. Results drawn from the data may therefore be skewed since it is undoubtedly the case that many FEIs have different distributions ____________________ 2The compilation of the database of FEIs was not part of the Hector project, but simply took advantage of the availability of the corpus and software.

2 The Structure of the Database 'Database' is technically a misnomer as far as my research was concerned, since my database consists computationally of a series of structured text files which could be manipulated by means of -45- standard UNIX tools. 1 A detailed account of the database and report on the findings is given in Moon ( 1994b). Different kinds of data relating to individual FEIs were recorded in up to 17 separate fields. Two fields were organizational, for example to handle miscellaneous comments concerning exploitation or peculiar distributions.

Inevitably, the development of corpus linguistics and increasing use of large corpora in lexicology and lexicography is changing all this. One of the most important and basic pieces of information to be derived from a corpus concerns lexis: the frequencies and distributions of lemmas, and the forms and collocational patterns in which they occur. htm from the marginal (and gradations between). This has clear applications in pedagogy, artificial intelligence, contrastive linguistics, and other fields.

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