Abstract
These days creating the corpus of texts for Uzbek language, creating and developing linguistic databases, search-engine systems – are one of the crucial tasks of computational linguistics. Particularly, electronic dictionary-thesauruses, semantic dictionaries are one of them. Dictionary-thesaurus formation structure for Uzbek language, transferring the terminological dictionary into the e-version and implementing rules for establishing semantic relations between words where it gives a chance to establish automation linguistic processes of dictionary-thesauruses, which is the foundation of linguistic databases. Analyzing logical structure of paper-based dictionary thesauruses has given a chance to formalize its structure and creating rules for converting to e-version of dictionary-thesaurus syllables by using predicates language. Descriptors system is suggested in PROLOG language rules set for constructing e-version of dictionary – syllables.
Highlights
IntroductionThe main aim of the paper is analyzing logical structure of Uzbek dictionary-thesaurus, formation its structure and developing conversion rules of existent paper-based Uzbek dictionaries to electronic dictionary-thesaurus
The main aim of the paper is analyzing logical structure of Uzbek dictionary-thesaurus, formation its structure and developing conversion rules of existent paper-based Uzbek dictionaries to electronic dictionary-thesaurus.Nowadays, constructing Uzbek language thesaurus level semantic dictionaries is not developing in a high temp
The set ! " consist conditional equivalence class together with title description and it is descriptor. This ! " set Matlatipov San’atbek et al.: Modeling WordNet Type Thesaurus for Uzbek Language Semantic Dictionary plays a role in nominal definition function and makes meaning determine of title descriptor meaning in conditional equivalence class
Summary
The main aim of the paper is analyzing logical structure of Uzbek dictionary-thesaurus, formation its structure and developing conversion rules of existent paper-based Uzbek dictionaries to electronic dictionary-thesaurus. Nowadays, constructing Uzbek language thesaurus level semantic dictionaries is not developing in a high temp. One of the main issues in last years as regards NLP activities is the increasingly fast development of generic language resources. For knowledge-based NLP tasks, the availability of wide coverage ontologies. The construction of a WordNET for a language depends on the lexical source available. Building the lexical source manually can be very costly. Formalization of Uzbek language linguistics, implementing linguistic processors for automation process of developing electronic thesauruses are still crucial task. The paper called Building a Wordnet for Turkish [12] which is used the Princeton model to build Turkish wordNET and Uzbek language is in Turkic language category
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