Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Anna V. Shevlyakova"'
Publikováno v:
IEEE Access, Vol 10, Pp 68499-68512 (2022)
Lexical semantic change detection has been a rapidly developing field of science in recent years. Existed algorithms of lexical semantic change detection face difficulties when they are used to work with words denoting named entities. This paper prop
Externí odkaz:
https://doaj.org/article/67f438f642354f2bab4e126b9b0ab0aa
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:6965-6977
In recent years, methods based on word embedding models have been widely used for solving problems of semantic change estimation. The models are trained on text corpora of various years. Semantic change is detected by analyzing changes in distance be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecdae735e37fd1f008e89b1757375e13
https://doi.org/10.3233/jifs-212179
https://doi.org/10.3233/jifs-212179
Publikováno v:
Acta Polytechnica Hungarica. 19:99-121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca2a773b999eab397294b62e4f76adbf
https://doi.org/10.12700/aph.19.10.2022.10.7
https://doi.org/10.12700/aph.19.10.2022.10.7
Publikováno v:
Advances in Soft Computing ISBN: 9783030898199
MICAI (2)
MICAI (2)
The article considers the problem of imageability ratings estimation of English words using artificial neural networks. To train and test the models, we use data of several freely available psycholinguistic databases. We compared two approaches based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6a0c7600efb63643aec99d64aa0093
https://doi.org/10.1007/978-3-030-89820-5_5
https://doi.org/10.1007/978-3-030-89820-5_5
Publikováno v:
Speech and Computer ISBN: 9783030878016
SPECOM
SPECOM
The article proposes a solution to the problem of automatic recognition of Russian noun and adjective cases in the Google Books Ngram corpus. The recognition was performed by using information on word co-occurrence statistics extracted from the corpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a13423e2f6ebc864a34ba9fae93df8e
https://doi.org/10.1007/978-3-030-87802-3_56
https://doi.org/10.1007/978-3-030-87802-3_56
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030608866
MICAI (2)
MICAI (2)
This paper describes how to build a recognizer to identify named entities that occur in the Google Books Ngram corpus. In the previous studies, the text was usually input to the recognizer to solve the task of named entities recognition. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94a9cc68322b514714482e5b1765b8fe
https://doi.org/10.1007/978-3-030-60887-3_2
https://doi.org/10.1007/978-3-030-60887-3_2
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030395742
AIST (Supplement)
AIST (Supplement)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7970813953ac6b061c70a56b39fc56cb
https://doi.org/10.1007/978-3-030-39575-9_10
https://doi.org/10.1007/978-3-030-39575-9_10
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030395742
AIST (Supplement)
AIST (Supplement)
This paper describes how to automatically recognize parts of speech and other grammatical categories of a word such as gender and number. Unlike some previous works, the vector of syntactic bigram frequencies (including the considered word) is used a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96703d243cd00c97982b82347ea185c5
https://doi.org/10.1007/978-3-030-39575-9_13
https://doi.org/10.1007/978-3-030-39575-9_13
A Corpus-Based Study of the Rate of Changes in Frequency of Syntactic Bigrams in English and Russian
Publikováno v:
Advances in Soft Computing ISBN: 9783030337483
MICAI
MICAI
The article describes general regularities of frequency dynamics of syntactic bigrams and the method used to analyse them. The work objective is to quantitatively estimate the typical rate of change in frequency of syntactic bigrams in English and Ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f749d8816c73d711fef960b884b4d6eb
https://doi.org/10.1007/978-3-030-33749-0_37
https://doi.org/10.1007/978-3-030-33749-0_37
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030378578
Traditionally, it is believed in linguistics that the center of any semantic field is more stable than the periphery. Quantitative testing of this hypothesis has become possible due to creation of large diachronic text corpora. The article describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad5dd9a84901d4a1a7371f45e84253ef
https://doi.org/10.1007/978-3-030-37858-5_59
https://doi.org/10.1007/978-3-030-37858-5_59