Clause Linkers for the Ruscon Database: Selecting Criteria and Statistical Evaluation

The study is devoted to compiling a list of clause linkers, or connectives, for the database Ruscon (available at http://ruscon.belyaev.io/).It is aimed at differentiating between complex connectives (like a ne to 'else') and occasional combinations of connectives (a vsledstvie etogo 'and henceforth').There is a large number of cases when phonetic, morphosyntactic and semantic properties of connectives do not permit to make this differentiation.In these cases we propose to use the MMI metric (Modified Mutual Information).It rests on the rule of probability multiplication, which allows to estimate the probability of independent events.

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Publication Details

Journal
Computational Linguistics and Intellectual Technologies
Published
2025-01-01
DOI
https://doi.org/10.28995/2075-7182-2025-23-407-415
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Clause Linkers for the Ruscon Database: Selecting Criteria and Statistical Evaluation

И.М. Кобозева, Natalia Serdobolskaya, Svetlana Timoshenko
Computational Linguistics and Intellectual Technologies
Data Management and Algorithms
article

Clause Linkers for the Ruscon Database: Selecting Criteria and Statistical Evaluation

И.М. Кобозева, Natalia Serdobolskaya, Svetlana Timoshenko
article en

Abstract

The study is devoted to compiling a list of clause linkers, or connectives, for the database Ruscon (available at http://ruscon.belyaev.io/).It is aimed at differentiating between complex connectives (like a ne to 'else') and occasional combinations of connectives (a vsledstvie etogo 'and henceforth').There is a large number of cases when phonetic, morphosyntactic and semantic properties of connectives do not permit to make this differentiation.In these cases we propose to use the MMI metric (Modified Mutual Information).It rests on the rule of probability multiplication, which allows to estimate the probability of independent events.

Computational Linguistics and Intellectual Technologies
Reduced inequalities
Openalex Percentile: Top 73%
Data Management and Algorithms
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