What question did this study set out to answer?

This research aims to formalize how to extract multicomponent terms from Russian scientific texts using a novel approach.

June 3, 2026Automatic Documentation and Mathematical Linguistics

On the Analysis of Syntactic Relations in Science Terms

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Authors

AMA. A. MastikhinaBauman Moscow State Technical University ESE. D. ShalyutinaNational Research Nuclear University MEPhI

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Implication

Randomized trial examines multicomponent term extraction accuracy using a novel algorithm in Russian-language texts, suggesting adaptability across languages.

Key Points

This research aims to formalize how to extract multicomponent terms from Russian scientific texts using a novel approach.
Developed a predicate algebra and system of axioms for term extraction.
Created an algorithm that identifies sequences of nouns, adjectives, and participles without prior syntactic parsing.
Analyzed algorithm performance based on various examples to assess extraction effectiveness.
Successfully extracted multicomponent terms with examples, highlighting issues related to homonymy.
Algorithm demonstrates adaptability for different languages and subject areas.
Proposed axiom system can potentially enhance term extraction methods in diverse contexts.

Cite This Study

Mastikhina et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc49adee9eb8c0dce623c https://doi.org/10.3103/s000510552670007x

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Implication

Randomized trial examines multicomponent term extraction accuracy using a novel algorithm in Russian-language texts, suggesting adaptability across languages.

On the Analysis of Syntactic Relations in Science Terms

Discussion

Member takes

Implication

Key Points

Cite This Study

On the Analysis of Syntactic Relations in Science Terms

Discussion

Member takes

Implication

Key Points

Cite This Study

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