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Corpus analysis is the study of linguistic corpora, which refers to collections of texts that are available for analysis. Corpus linguistics is the subfield of applied linguistics that uses corpus analysis, or collection and assessment of resources in language learning. The basics are fairly straightforward: you can use a corpus to discover what languages people speak, how they talk about things, and how they write. But this knowledge can open up innumerable opportunities for researchers in other fields. Some of the most interesting things to take away from corpus research in the area of second language acquisition are in areas like phonological development in children in contact with English, but there's also much to be learned about construction grammar, word formation, language variation, and word choice. Because it's mostly concerned with language itself (in contrast to applied linguistics), it can often point us in new directions for improvement of English instruction, helping us find better ways to teach students; ways that are more interesting or engaging for learners. For example, although there is quite a bit of readily available data regarding how adults acquire English through listening and reading (and sometimes writing), we're not always well-equipped at focusing on younger learners. Some resources, like the child-directed speech corpus, are available for younger learners. But these kinds of resources are still quite rare, and there's a lot more that can be done to expand our research in this area.

Corpus analysis is an empirical method of language research which relies on computerised textual corpora for quantitative and qualitative linguistic analysis of a language. A corpus is a 'body' of texts, here used to refer to the collection itself. In contrast to traditional academic publishing, which relies on monocorpus samples or books that represent a specific point in time for their work, corpus linguistics leans toward using numerous different text collections from varied periods of time for its linguistic analysis. The advantage of this is that one can see how language use changes over time, across genres, and in response to different contexts. The word corpus is derived from the Latin word corpus meaning body. Originally it was used to refer to collections of canonical works or texts. A text collection which is particularly relevant for corpus linguistics is the Brown Corpus (1951), which provided researchers with a large, machine-readable archive of American English texts that could be analysed more efficiently than by hand. Michael Halliday's work on systemic functional linguistics (SFL) has greatly influenced corpus linguistics, as SFL emphasises the importance of context for meaning construction and language learning. There are multiple uses for corpus linguistics. One of the most pervasive is in forensic linguistics, where it is used to analyse language found in materials that are written documents which are presented as evidence to see if they have been tampered with or altered since their original production. The analysis focuses on checking for the frequency of occurrence of certain words, syntactic constructions, and patterns, as well as any idiosyncrasies, which could be used to establish whether or not the text has been altered (or forged). The use of corpus linguistics here is also important because it can be applied to written texts other than conventional 'written' documents; one can apply these techniques to things like other kinds of texts (e.g.

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