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1. Over the last few decades, world linguistics has continued to demonstrate ever-increasing interest in various statistical methods of language comparison (see, e.g., overviews in [Nichols & Warnow 2008], [McMahon & McMahon 2005]). It may be stated that such methods progressively become a basic and generally acknowledged tool for formal classification of languages and dialects. The general principles of the underlying analysis are standard. A matrix of features is compiled, which is filled up for each language in question, upon which the corresponding fields for different languages are compared (for various mathematical algorithms that process the resultant binary matches/unmatches see [Nichols & Warnow 2008]). Thereby the degree of relative proximity of the languages is investigated. Linguistic data placed into the matrix can be of several kinds: 1) Lexical data, i. e. wordlists of basic vocabulary. Depending on the chosen method for matrix comparison, two words can be treated as equal if they are etymologically cognate, or if their phonetic shapes are identical according to some formal criteria (e.g., consonantal classes). 2) Auxiliary morphemes and grammatical features, which are either retentions or innovations in relation to the reconstructed proto-language of the language family under investigation (e.g., mutual phonetic changes, syncretism of cases and so on). 3) General (universal) typological features, whose formulation does not depend on the specific nature of particular languages (e.g., basic word order VS/SV or the presence of rounded front vowels).

Annotated 50-item wordlist of the basic lexicon of the Ancient Greek language (the idiolect of Herodotus)