Parsing the Dictionary of Modern Literary Russian Language with the Method of SCD Configurations. The Lexicographic Modeling
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CURTEANU, Neculai; COJOCARU, Svetlana; BURCA, Eugenia. Parsing the Dictionary of Modern Literary Russian Language with the Method of SCD Configurations. The Lexicographic Modeling . In: Computer Science Journal of Moldova. 2012, nr. 1(58), pp. 42-82. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 1(58) / 2012 / ISSN 1561-4042

Parsing the Dictionary of Modern Literary Russian Language with the Method of SCD Configurations. The Lexicographic Modeling

CZU: 004.94:811.161.1'33
Pag. 42-82

Curteanu Neculai1, Cojocaru Svetlana2, Burca Eugenia2
 
1 Institute for Computer Science, Romanian Academy, Iasi Branch,
2 Institute of Mathematics and Computer Science ASM
 
Disponibil în IBN: 4 decembrie 2013


Rezumat

This paper extends the experience of parsing other five, sen- sibly different, Romanian, French, and German largest dictio- naries, to DMLRL (Dictionary of Modern Literary Russian Language) [18], using the optimal and portable parsing method of SCD (Segmentation-Cohesion-Dependency) configurations [7], [11], [15]. The purpose of the present paper is to elaborate the lexicographic modeling of DMLRL, which necessarily precedes the sense tree parsing dictionary entries. The following three SCD configurations are described: the first one has to sepa- rate the lexicographic segments in a DMLRL entry, the sec- ond SCD-configuration concentrates on the SCD marker classes and their hypergraph hierarchy for DMLRL primary and sec- ondary senses, while the third SCD configuration hands down the same modeling process to the atomic sense definitions and their examples-to-definitions. The dependency hypergraph of the third SCD configuration, interconnected to the one of the second SCD configuration, is specified completely at the atomic sense level for the first time, exceeding the SCD configuration model- ing for other five dictionaries [15], [14]. Numerous examples from DMLRL and comparison to DLR-DAR Romanian thesaurus- dictionary support the proposed DMLRL lexicographic model- ing.

Cuvinte-cheie
new approach to dictionary entry parsing, the parsing method of SCD configurations, parsing the largest Romanian, German, and Russian dictionaries, lexicographic modeling,

French