Публікація: Measuring multimedia content proximity via artificial intelligence methods
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Дата
2020
Назва журналу
ISSN журналу
Назва тома
Видавництво
Technical University of Sofia
Анотація
The paper describes existing and novel
approaches to word sequence similarity measuring which uses
image processing procedures to reveal proximity relations
between words and their meaning. This is implemented due to
the fact the each word sequence can be associated with a
particular pictorial domain, and thus any textual information
can be potentially presented via an image series. Theoretical
results of rule based approach, genetic algorithms and neural
networks application are analyzed in terms of solving the
problem under study. The proposed information processing
technology may be useful for automatic translation
applications, known as CAT-tools by now, search engine
optimization, etc.
Опис
Ключові слова
computer-assisted translation, evolutionary approach, multimedia processing, neural network
Бібліографічний опис
Rybalka A. I. Measuring multimedia content proximity via artificial intelligence methods / Rybalka A. I., Megel Y. E., Mikhnova O. //Metrology and metrology assurance: Works of 30th International Scientific Symposium September 7 -11, 2020, Sozopol, Bulgaria.