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Found 6 papers, 0 papers with code
Comparative analysis of criteria for filtering time series of word usage frequencies
The Ramachandran-Ranganathan runs test is used to assess the quality of approximation.
Dynamics of core of language vocabulary
Studies of the overall structure of vocabulary and its dynamics became possible due to creation of diachronic text corpora, especially Google Books Ngram.
Verifying Heaps' law using Google Books Ngram data
This article is devoted to the verification of the empirical Heaps law in European languages using Google Books Ngram corpus data.
Initialization of multilayer forecasting artifical neural networks
In this paper, a new method was developed for initialising artificial neural networks predicting dynamics of time series.
Training Algorithm for Neuro-Fuzzy Network Based on Singular Spectrum Analysis
In this article, we propose a combination of an noise-reduction algorithm based on Singular Spectrum Analysis (SSA) and a standard feedforward neural prediction model.
Generating abbreviations using Google Books library
The dictionary of abbreviations is designed for Russian, yet as its methodology is universal it can be applied to any language.
