Object-Attribute Linguistic Processor for Semantic Analysis of Natural Language

Student: Petrova Svetlana

Supervisor: Sergey Mikhailovich Salibekyan

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Year of Graduation: 2017

The object of this paper is the linguistic processor that performs the semantic analysis of natural language texts. The goal is creating an experimental linguistic processor. The linguistic processor is created with using an object-attribute approach of calculations organization and data structures, which is based on the data flow. This work contains the analysis of existing semantic data formats, graph-transformational systems (because semantic data formats always a tree) and the existing methods of natural language semantic analysis. Method of Russian language analysis was developed (language constructs and transformation phase were researched) and the experimental object-attribute linguistic processor was created. The simulation of the experimental object-attribute linguistic processor was done for a small Russian text.

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