cyberspaceФилософские проблемы информационных технологий и киберпространстваPhilosophical Problems of IT & Cyberspace (PhilIT&C)2305-3763Пятигорский государственный университет10.17726/philIT.2022.1.2cyberspace-247Research ArticleСтатьиСлово в техногенном многомерном пространствеWord in technogenic multidimensional spaceБыльеваД. С.BylievaD. S.

 Быльева Дарья Сергеевна -  кандидат политических наук, доцент

Санкт-Петербург

 Bylieva Daria -  PhD, associated professor

St. Petersburg 

bylieva_ds@spbstu.ruСанкт-Петербургский политехнический университет Петра ВеликогоРоссияPeter the Great St. Petersburg Polytechnic UniversityRussian Federation202202082022011833Copyright © Быльева Д.С., 20222022Быльева Д.С.Bylieva D.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://cyberspace.pgu.ru/jour/article/view/247

Сегодня искусственный интеллект активно осваивает естественные языки, становясь собеседником и партнером человека в разных аспектах деятельности. Однако символьный подход, подразумевающий передачу правил и логики, потерпел фиаско, а количество правил и исключений языка не позволяет провести его формализацию, поэтому современное «глубокое обучение» искусственных нейронных сетей подразумевает самостоятельный поиск закономерностей в обширных базах данных. В ходе обучения искусственный интеллект ставит слово в предложение, чтобы синтагматические отношения были максимально приближенными к таковому у целевого слова в базе, учитывая как семантические связи слов, так и отношения между словами в последовательности изложения. «Язык» информационных технологий цифровой. При работе с естественным языком слова представляются в векторной форме как последовательность чисел. Идея представлять слова математически знакома людям и ассоциируется, как правило, с логической непротиворечивостью. Визуализация положения слов в многомерном пространстве, созданном искусственным интеллектом, демонстрирует ряд закономерностей, очевидных семантических и синтаксических взаимосвязей, однако суть других отношений между словами неочевидна. Математическое представление слов, созданное искусственным интеллектом, может позволить взглянуть на язык с новой, нечеловеческой точки зрения.

Today, artificial intelligence is actively mastering natural languages, becoming an interlocutor and partner of human in various aspects of activity. However, the symbolic approach, which implies the transfer of rules and logic, has failed, the number of rules and exceptions of the language does not allow its formalization, so modern «deep learning» of artificial neural networks involves an independent search for patterns in extensive databases. During training, artificial intelligence puts a word into a sentence so that the syntagmatic relationships are as close as possible to those of the target word in the base, taking into account both the semantic relationships of words and the relationships between words in the sequence of presentation. The «language» of information technologies is digital. During natural language processing, words are represented in vector form as a sequence of numbers. The idea of representing words mathematically is familiar to people and is usually associated with logical consistency. Visualization of the position of words in a multidimensional space created by artificial intelligence demonstrates a number of patterns, obvious semantic and syntactic relationships, but the essence of other relationships between words is not obvious. The mathematical representation of words, created by artificial intelligence, can allow you to look at the language from a new non-human point of view.

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The authors declare that there are no conflicts of interest present.