szövegkorpuszelemzést

Szövegkorpuszelemzés, often translated as corpus linguistics or corpus analysis, is a method of linguistic research that uses large, structured collections of texts called corpora to study language. These corpora can consist of spoken or written language, or a combination of both, and are typically compiled for specific analytical purposes. The core principle of corpus analysis is to examine actual language use as it appears in authentic contexts, rather than relying on intuition or hypothetical examples.

Researchers use specialized software to analyze these corpora, identifying patterns, frequencies, and collocations of words, phrases, and grammatical structures. This allows for the empirical investigation of various linguistic phenomena, such as the evolution of language, the differences between dialects or registers, the acquisition of language by learners, and the stylistic features of different authors or genres. For instance, by analyzing a large corpus of historical texts, linguists can track the changing meanings of words over time or the emergence of new grammatical constructions.

Corpus analysis has applications in diverse fields, including lexicography (dictionary creation), translation studies, computational linguistics, natural language processing, and language teaching. It provides a data-driven approach to understanding how language works, offering objective insights that complement traditional linguistic methodologies. The emphasis on real-world data makes corpus linguistics a powerful tool for both theoretical and applied language research.