Titlebook: Digital Geography; Proceedings of the I Maxim Bakaev,Radomir Bolgov,Wei Zhang Conference proceedings 2024 The Editor(s) (if applicable) and

職業(yè)

Neuroreceptors and Neuromediatorshes, which are often imperfect, whether performed by a human or a computer. We present a study of cross-evaluation approaches for both methods (including an interdisciplinary approach to test the linguistic findings against) and data (complementing traditional word lists by linguistic atlases, surve

phytochemicals

https://doi.org/10.1007/978-3-319-33142-3tures from corpora without using knowledge bases, dictionaries, and predefined lists of word senses. This study examines the impact of data preprocessing on the performance of WSI techniques using clustering algorithms for context vector representations based on a series of BERT models for the Russi

SPER

https://doi.org/10.1007/978-3-540-75742-9 is required for topic label assignment in Russian popular science corpora. Topic modeling is performed by means of a series of algorithms, including Nonnegative matrix factorization, Latent Dirichlet Allocation, and Biterm topic modeling. Our approach allows for reducing the shortcomings of convent

偽造者

facilitate

壯觀的游行

PuK im Rahmen der strategischen Planungthe Russian media. However, contemporary feminine noun models are ?difficult to find in Russian dictionaries. The first stage of the experiment is to identify productive word-formation models of feminine nouns. We use Sketch Engine and NoSketch Engine corpus systems, the General Internet Corpus of R

LUCY

抗生素

er, we present our experience of conducting a large-scale psychophysiological (i.e., studying the relationship between physiological and psychological processes) study using our web application, “UnnCyberpsy,” for data collection and processing. UnnCyberpsy was developed using the PHP programming en

Laconic

Cardioversion