A Method of Semantic Change Detection Using Diachronic Corpora Data

Autor:	Vladimir V. Bochkarev, Anna V. Shevlyakova, Valery D. Solovyev
Rok vydání:	2020
Předmět:	Semantic change Computer science business.industry Bigram Artificial intelligence computer.software_genre Semantics business computer Word (computer architecture) Natural language processing Meaning (linguistics)
Zdroj:	Communications in Computer and Information Science ISBN: 9783030395742 AIST (Supplement)
Popis:	The article proposes a method for detecting semantic change using diachronic corpora data. The method is based on the distributional hypothesis. The analysis is performed using frequencies of syntactic bigrams from the English and Russian sub-corpora of Google Books Ngram. To obtain the word co-occurrence profile in its new meaning, syntactic bigrams that contributed most to the word distribution change are selected and their time series are clustered. The method is tested on a group of English and Russian words which gained new meanings in the 20th century. The obtained results show that the proposed method allows one to detect semantics changes, as well as to determine the time of these changes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7970813953ac6b061c70a56b39fc56cb https://doi.org/10.1007/978-3-030-39575-9_10 Zobrazit plný text záznamu