Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic
Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains rele...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Saint Petersburg Electrotechnical University
2020-07-01
|
| Series: | Дискурс |
| Subjects: | |
| Online Access: | https://discourse.elpub.ru/jour/article/view/332 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849394294059696128 |
|---|---|
| author | O. M. Polyakov |
| author_facet | O. M. Polyakov |
| author_sort | O. M. Polyakov |
| collection | DOAJ |
| description | Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation). |
| format | Article |
| id | doaj-art-a2dfb2f061434f6798991eb6a493e4d2 |
| institution | Kabale University |
| issn | 2412-8562 2658-7777 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Saint Petersburg Electrotechnical University |
| record_format | Article |
| series | Дискурс |
| spelling | doaj-art-a2dfb2f061434f6798991eb6a493e4d22025-08-20T03:40:01ZengSaint Petersburg Electrotechnical UniversityДискурс2412-85622658-77772020-07-016310911710.32603/2412-8562-2020-6-3-109-117330Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to LogicO. M. Polyakov0Sait-Petersburg State University of Aerospace InstrumentationIntroduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).https://discourse.elpub.ru/jour/article/view/332r–linguisticsascription operationinterpretation operatorsemantics |
| spellingShingle | O. M. Polyakov Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic Дискурс r–linguistics ascription operation interpretation operator semantics |
| title | Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic |
| title_full | Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic |
| title_fullStr | Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic |
| title_full_unstemmed | Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic |
| title_short | Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic |
| title_sort | linguistic data model for natural languages and artificial intelligence part 5 introduction to logic |
| topic | r–linguistics ascription operation interpretation operator semantics |
| url | https://discourse.elpub.ru/jour/article/view/332 |
| work_keys_str_mv | AT ompolyakov linguisticdatamodelfornaturallanguagesandartificialintelligencepart5introductiontologic |