Representation of Syntactic Structures with Coordinating Conjunctions and Homonymy
https://doi.org/10.25205/1818-7900-2023-21-4-17-45
Abstract
The paper discusses sentences with coordinating conjunctions and homonymy where it is hard or impossible to build feasible syntactic structures using well-known models – dependency-based parse trees, constituency-based parse trees, and syntactic groups model. We suggest an approach to represent syntactic structures of sentences with conjunctions. We present features which distinguish our approach from the models under investigation. The paper shows multiple ways of visualization of syntactic structures. We illustrate how homonymy influences parsing and give examples of lexical and syntactic homonymy. We show the need to represent homonymy explicitly and suggest an approach to homonymy representation in morphological and syntactic structures.
Keywords
visualization of syntactic structures,
sentences with coordinating conjunctions,
ellipsis,
lexical homonymy,
syntactic homonymy
Supporting agencies: The work was carried out with the support of my family
About the Author
D. V. Demidov
National Research Nuclear University “MEPhI”
Russian Federation
Russian Federation
Dmitry V. Demidov, Candidate of Sciences Engineering
Scopus Author ID: 57082581800
WoS Researcher ID: H-1339-2018
Moscow
References
1. Gladkiy A. V. Syntactic structures of natural language. Moscow, LENAND publ., 2018, 152 p. (in Russ.)
2. Testelets Ya.G. Introduction to general syntax. Moscow, RGGU Publishing House, 2001. (in Russ.)
3. Bird S., Klein E., Loper E. Natural language processing with Python. O’Reilly, 2009, 504 p.
4. Apresyan Yu. D., Boguslavskiy I. M., Yomdin L. L et al. Linguistic processor for complex information systems. Moscow, Nauka publ., 1992, 256 p. (in Russ.)
5. Paducheva E. V. On semantics of syntax: materials for transformational grammar of Russian language. Moscow, Knizhny dom “LIBROKOM”, 2019, 296 p. (in Russ.)
6. Peshkovskiy A. M. Syntax of Russian in scientific coverage. Moscow, Yazyki slavyanskoy kultury, 2001, 544 p. (in Russ.)
7. Sannikov V. Z. Russian syntax in semantic-pragmatic space. Moscow, Yazyki slavyanskih kultur, 2008, 624 p. (in Russ.)
8. Melchuk I. A. Automatic syntactic analysis. Novosibirsk, 1964, 364 p. (in Russ.)
9. Korotaev N. A. Syntactic groups by A.V. Gladkiy: analysis of constructions with conjunction. Vestnik RGGU. Series “Philological Sciences. Linguistics / Moscow Linguistic Journal”, 2013, vol. 13, pp. 16–36. (in Russ.)
10. Rûzicka R. Uber “halbkopulative” Verben und Subjekthebung. “Studien zum Verhältnis von Syntax und Semantik im modernen Russischen”, Akademie-Verlag, Berlin, 1980, S. 123–165.
11. Shalyapina Z. M. 3-dimensional stratification model of language and its functioning: to general theory of linguistic models. Moscow, Vost. Lit., 2007, 480 p. (in Russ.)
12. Korobov M. Morphological Analyzer and Generator for Russian and Ukrainian Languages. Analysis of Images, Social Networks and Texts, 2015. p. 320–332. (in Russ.)
13. Popov E. V. Communication with computer in natural language. Moscow, Nauka publ., 1982, 360 p. (in Russ.)
14. Marsheva L. I. The orthography of the Church Slavonic language. Theoretical essay. Moscow, Izdatelstvo Sretenskogo Monastyrya, 2013, 56 p. (in Russ.)
15. Reformatskiy A. A. Introduction to Linguistics. Moscow, Aspekt Press, 2004, 536 p. (in Russ.)
16. Moskvina A. D., Orlova D., Panicheva P. V., Mitrofanova O. A. Development of the Core for Syntactic Parser for Russian based on NLTK libraries. Computer linguistics and computational ontologies. Proceedings of the XIX International Joint Science Conference “Internet and modern society”, Saint Petersburg, June 22–24, 2016. P. 44–54. (in Russ.)
17. Artemov A. P., Malkovskiy M. G. Sequential adjustment method for syntactic disambiguation. Proceedings of SWorld International Science Practical Conference, 2013, vol. 6, no. 3, pp. 3–6. (in Russ.)
Review
For citations:
Demidov D.V. Representation of Syntactic Structures with Coordinating Conjunctions and Homonymy. Vestnik NSU. Series: Information Technologies. 2023;21(4):17-45. (In Russ.) https://doi.org/10.25205/1818-7900-2023-21-4-17-45
Views:
135
Email this article 