Standard

Formal grammatical and ontological modeling of corpus data on Tibetan compounds. / Dobrov, Akelsei; Dobrova, Anastasia; Smirnova, Maria; Soms, Nikolay.

IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. ed. / Jan Dietz; David Aveiro; Joaquim Filipe. SciTePress, 2019. p. 144-153 (IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Dobrov, A, Dobrova, A, Smirnova, M & Soms, N 2019, Formal grammatical and ontological modeling of corpus data on Tibetan compounds. in J Dietz, D Aveiro & J Filipe (eds), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, vol. 2, SciTePress, pp. 144-153, 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019, Vienna, Austria, 17/09/19.

APA

Dobrov, A., Dobrova, A., Smirnova, M., & Soms, N. (2019). Formal grammatical and ontological modeling of corpus data on Tibetan compounds. In J. Dietz, D. Aveiro, & J. Filipe (Eds.), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 144-153). (IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2). SciTePress.

Vancouver

Dobrov A, Dobrova A, Smirnova M, Soms N. Formal grammatical and ontological modeling of corpus data on Tibetan compounds. In Dietz J, Aveiro D, Filipe J, editors, IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SciTePress. 2019. p. 144-153. (IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management).

Author

Dobrov, Akelsei ; Dobrova, Anastasia ; Smirnova, Maria ; Soms, Nikolay. / Formal grammatical and ontological modeling of corpus data on Tibetan compounds. IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. editor / Jan Dietz ; David Aveiro ; Joaquim Filipe. SciTePress, 2019. pp. 144-153 (IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management).

BibTeX

@inproceedings{923bc33d6cfd4df09732065c8e05fa4c,
title = "Formal grammatical and ontological modeling of corpus data on Tibetan compounds",
abstract = "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.",
keywords = "Compounds, Computer Ontology, Corpus Linguistics, Immediate Constituents, Natural Language Processing, Tibetan Corpus, Tibetan Language",
author = "Akelsei Dobrov and Anastasia Dobrova and Maria Smirnova and Nikolay Soms",
year = "2019",
month = jan,
day = "1",
language = "English",
series = "IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management",
publisher = "SciTePress",
pages = "144--153",
editor = "Jan Dietz and David Aveiro and Joaquim Filipe",
booktitle = "IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management",
address = "Portugal",
note = "11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019 ; Conference date: 17-09-2019 Through 19-09-2019",

}

RIS

TY - GEN

T1 - Formal grammatical and ontological modeling of corpus data on Tibetan compounds

AU - Dobrov, Akelsei

AU - Dobrova, Anastasia

AU - Smirnova, Maria

AU - Soms, Nikolay

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Compounds

KW - Computer Ontology

KW - Corpus Linguistics

KW - Immediate Constituents

KW - Natural Language Processing

KW - Tibetan Corpus

KW - Tibetan Language

UR - http://www.scopus.com/inward/record.url?scp=85074154218&partnerID=8YFLogxK

M3 - Conference contribution

T3 - IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

SP - 144

EP - 153

BT - IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

A2 - Dietz, Jan

A2 - Aveiro, David

A2 - Filipe, Joaquim

PB - SciTePress

T2 - 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019

Y2 - 17 September 2019 through 19 September 2019

ER -

ID: 50358912