Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Lingüística de corpus× | Reconstrucción Interna× | |
|---|---|---|
| Campo | Lingüística | Lingüística |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1980 | 1891 |
| Autor original≠ | John Sinclair | Henry Heffner Hock |
| Tipo | Empirical process pipeline | Empirical process pipeline |
| Fuente seminal≠ | Sinclair, J. M. (1991). Corpus, Concordance, Collocation. Oxford: Oxford University Press. link ↗ | Hock, H. H. (1991). Principles of Historical Linguistics (2nd ed.). Berlin: Mouton de Gruyter. DOI ↗ |
| Alias | Corpus Analysis, Corpora Studies | Interlingual Reconstruction, Diachronic Morphology |
| Relacionados≠ | 1 | 3 |
| Resumen≠ | Corpus Linguistics is the study of language based on large, representative collections of texts (corpora) processed by computer. Pioneered by John Sinclair and others, the method uses statistical analysis, concordancing, and computational tools to examine patterns of actual language use. Corpus linguistics has transformed our understanding of English and other languages, revealing frequency patterns, collocation preferences, and register variation that were previously hidden. It serves theoretical linguistics, applied language teaching, and natural language processing. | Internal Reconstruction is a historical linguistic method that reconstructs earlier stages of a single language by identifying internal inconsistencies, morphological irregularities, and distributional patterns within the language itself. Unlike the Comparative Method, which relies on comparing related languages, Internal Reconstruction uses evidence from within one language—such as suppletive forms, analogy-induced irregularities, and phonological asymmetries—to infer its historical structure and sound changes. This method is particularly valuable when only one written form of a language survives or when related languages are unavailable. |
| ScholarGateConjunto de datos ↗ |
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