Using Big Data Experiments in Cognitive and Linguo-Cultural Research in English and Russian
Bibliographic Data
| ID | 18966263 |
|---|---|
| Authors | Olga A Suleimanova (Moscow City University, corresponding author), Inna M Petrova (0000-0003-3060-1387, Moscow City University) |
| Year | 2020 |
| Pages | 385-393 |
| Publication date | 2020-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Siberian Federal University Humanities & Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 1997-1370 • E-ISSN: 2313-6014 |
| Publisher | Siberian Federal University (PUBLISHER • RU) |
| DOI | 10.17516/1997-1370-0561 |
| OpenAlex | W3023620745 |
| Language | EN |
| References cited | 4 |
Big data search instruments, Google and Yandex and others, offer new research opportunities, statistically very impressive. The questions arise here as to what extent we can trust the statistical data obtained, what kinds of hypotheses can be verified through Google and Yandex searching. The authors try to experimentally verify the hypothesis relating to the word order in the attributive group of the kind healthy nourishing food vs nourishing healthy food using Google and Yandex and, in this way, test the explanatory potential of the big data sources. The choice of word order is related to the theory of classes which explains cognitive mechanisms that govern the order of adjectives in a noun group. The empirical results obtained via Google and Yandex help to verify this hypothesis and identify cognitive grounds for choosing the order of attributes. The authors claim that data search engines, particularly, Russian Yandex and Google corpora, can help identify linguistically and culturally relevant concepts
Attributive · Big data · Cognition · Data mining · Data science · Epistemology · Linguistics · Natural language processing · Noun · Word order · Computer Science · Discourse Analysis and Cultural Communication · Linguistics, Language Diversity, and Identity · Philosophy · Psychology
| Highly cited | No |
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