Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic

Introduction. The article continues a series of publications on the linguistics of the relationship (hereafter R-linguistics) and is concerned with the semantic interpretation in terms of the linguistic model that is the initial stage to consider the logic of natural language (external logic).Method...

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Main Author: O. M. Polyakov
Format: Article
Language:English
Published: Saint Petersburg Electrotechnical University 2021-04-01
Series:Дискурс
Subjects:
Online Access:https://discourse.elpub.ru/jour/article/view/397
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author O. M. Polyakov
author_facet O. M. Polyakov
author_sort O. M. Polyakov
collection DOAJ
description Introduction. The article continues a series of publications on the linguistics of the relationship (hereafter R-linguistics) and is concerned with the semantic interpretation in terms of the linguistic model that is the initial stage to consider the logic of natural language (external logic).Methodology and sources. The results obtained in the previous parts of the series are used as research tools. In particular, the verbal categorization method is used to represent concepts and verbs. To develop the necessary mathematical representations in the field of logic and semantics of natural language, the previously formulated concept of the interpretation operator is used. The interpretation operator maps the sentences of the language into the model, taking into account the previously interpreted sentences.Results and discussion. The problems that arise during the operation of the natural language interpretation operator are analyzed using examples of text translation and utterance algebra. The source of problems is the dependence of the interpretation of sentences on the already accumulated results of interpretation. The features of the interpretation of negation and double negation in the language are analyzed. In particular, the negation of a sentence affects the interpretation of previous sentences, and double negation usually denotes a single negation with an indication of its scope. It is shown that even from the point of view of classical logic, linguistic negation is not unconditional, and the operation of concatenation is not commutative and associative. General rules of text interpretation in the form of step-by-step mapping of sentence elements into a linguistic model are formulated.Conlcusion. From the considered examples of the implementation of the interpretation operator, it follows that the negation of a sentence requires a change in the meaning of the operation of attributing sentences in the text. For this reason, the negative particle ”not” in the language is actually a label for changing the interpretation rule. The double negation rule in sentence logic does not hold, so sentences containing double negations are likely to contain information about the scope of the sentence negation in the text. Based on the analysis, the contours of the interpretation operator for the linguistic model are indicated.
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spelling doaj.art-01a91a91b41f4aaa99965d2d44a7f4a12025-03-02T09:57:02ZengSaint Petersburg Electrotechnical UniversityДискурс2412-85622658-77772021-04-017212713410.32603/2412-8562-2021-7-2-127-134390Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal LogicO. M. Polyakov0Saint-Petersburg State University of Aerospace InstrumentationIntroduction. The article continues a series of publications on the linguistics of the relationship (hereafter R-linguistics) and is concerned with the semantic interpretation in terms of the linguistic model that is the initial stage to consider the logic of natural language (external logic).Methodology and sources. The results obtained in the previous parts of the series are used as research tools. In particular, the verbal categorization method is used to represent concepts and verbs. To develop the necessary mathematical representations in the field of logic and semantics of natural language, the previously formulated concept of the interpretation operator is used. The interpretation operator maps the sentences of the language into the model, taking into account the previously interpreted sentences.Results and discussion. The problems that arise during the operation of the natural language interpretation operator are analyzed using examples of text translation and utterance algebra. The source of problems is the dependence of the interpretation of sentences on the already accumulated results of interpretation. The features of the interpretation of negation and double negation in the language are analyzed. In particular, the negation of a sentence affects the interpretation of previous sentences, and double negation usually denotes a single negation with an indication of its scope. It is shown that even from the point of view of classical logic, linguistic negation is not unconditional, and the operation of concatenation is not commutative and associative. General rules of text interpretation in the form of step-by-step mapping of sentence elements into a linguistic model are formulated.Conlcusion. From the considered examples of the implementation of the interpretation operator, it follows that the negation of a sentence requires a change in the meaning of the operation of attributing sentences in the text. For this reason, the negative particle ”not” in the language is actually a label for changing the interpretation rule. The double negation rule in sentence logic does not hold, so sentences containing double negations are likely to contain information about the scope of the sentence negation in the text. Based on the analysis, the contours of the interpretation operator for the linguistic model are indicated.https://discourse.elpub.ru/jour/article/view/397r-linguisticsascription operationinterpretation operatorsemantics
spellingShingle O. M. Polyakov
Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
Дискурс
r-linguistics
ascription operation
interpretation operator
semantics
title Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
title_full Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
title_fullStr Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
title_full_unstemmed Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
title_short Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 6. The Еxternal Logic
title_sort linguistic data model for natural languages and artificial intelligence part 6 the еxternal logic
topic r-linguistics
ascription operation
interpretation operator
semantics
url https://discourse.elpub.ru/jour/article/view/397
work_keys_str_mv AT ompolyakov linguisticdatamodelfornaturallanguagesandartificialintelligencepart6theexternallogic