방법 비교

	내부 재구성	어족 연대 추정법	형태소 분석
분야	언어학	언어학	텍스트 마이닝
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	1891	1950	1980
창시자	Henry Heffner Hock	Morris Swadesh	M.F. Porter (Porter stemmer)
유형	Empirical process pipeline	Empirical process pipeline	Text-normalisation preprocessing task
원전	Hock, H. H. (1991). Principles of Historical Linguistics (2nd ed.). Berlin: Mouton de Gruyter.	Swadesh, M. (1950). Salish internal relationships. International Journal of American Linguistics, 16(3), 157-167.	Porter, M.F. (1980). An Algorithm for Suffix Stripping. Program, 14(3), 130-137.
별칭	Interlingual Reconstruction, Diachronic Morphology	Lexicostatistics, Glottochronological Dating	stemming, lemmatization, Morfolojik Analiz ve Kök Bulma
관련	3	2	4
요약	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.	Glottochronology, or lexicostatistics, is a quantitative method in historical linguistics that estimates the time of divergence between related languages based on the proportion of shared cognates in their basic vocabularies. Developed by Morris Swadesh in 1950, the method assumes that core vocabulary items change at a relatively constant rate over time, allowing linguists to calculate a 'time depth'—how long ago two languages shared a common ancestor. Though controversial due to its restrictive assumptions, glottochronology provides rough temporal estimates when archaeological or written records are unavailable.	Morphological analysis splits words into their stems and affixes so that different surface forms of the same word can be treated as one. It covers two complementary approaches — rule-based stemming, such as the Porter (1980) and Snowball algorithms, and dictionary-aware lemmatization — and is a critical text-normalisation step for agglutinative languages such as Turkish and Arabic.