Texts Segmentation and Semantic Comparison: Method and Results of its Application
- Resource Type
- Conference
- Authors
- Rogozov, Yury; Soto, Jose Gregorio Bermdez; Sviridov, Aleksandr; Lipko, Yulia; Belikova, Svetlana; Belikov, Aleksandr; Kucherov, Sergey; Shevchenko, Oksana; Borisova, Elena; Egorov, Aleksandr
- Source
- 2018 23rd Conference of Open Innovations Association (FRUCT) Open Innovations Association (FRUCT), 2018 23rd Conference of. :321-328 Nov, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Semantics
Natural languages
Task analysis
Text processing
Dynamic programming
Plagiarism
Search engines
- Language
The paper describes the approach of scientific texts comparing. The approach is characterized by the comparison of significant textual passages that consist of elements of meaning. The proposed method of scientific texts comparison differs from others known methods by the using of segmentation with semantic criteria, taking into account synonyms. That allows to automatically detect the semantic similarity between two compared texts, and take into account both the morphological structure of the text and its lexico-semantic content. The results of practical application of the method are also presented in the paper.