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This article provides a consistent formal grammatical and ontological description of the model of the Tibetan compounds system, developed and used for automatic syntactic and semantic analysis of Tibetan texts, on the material of a hand-verified corpus. This model covers all types of Tibetan compounds, which were previously introduced by other authors, and introduces a number of new classes of compounds, taking into account their derivation, structure and semantics. The article describes the tools used for ontological modeling of Tibetan compounds; special attention is paid to the problem of modeling the semantics of verbs and verbal compounds. Nominal and verbal compounds are considered separately, it is noted that the importance of verbal compounds for the Tibetan language system is not less than that of nominal compounds. The statistical data on the absolute frequency distribution of the use of compounds of different types in the current version of the corpus annotation and on the amounts of ontology concepts associated with each class of compounds are given.
Язык оригинала | английский |
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Название основной публикации | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
Редакторы | Jan Dietz, David Aveiro, Joaquim Filipe |
Издатель | SciTePress |
Страницы | 144-153 |
Число страниц | 10 |
ISBN (электронное издание) | 9789897583827 |
Состояние | Опубликовано - 1 янв 2019 |
Событие | 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019 - Vienna, Австрия Продолжительность: 17 сен 2019 → 19 сен 2019 |
Название | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
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Том | 2 |
конференция | 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019 |
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Страна/Tерритория | Австрия |
Город | Vienna |
Период | 17/09/19 → 19/09/19 |
ID: 50358912