Skip to main content

2022 | OriginalPaper | Buchkapitel

Re-introduction to Tibetan Case Structure and Its Grammatical Functions

verfasst von : Hua Cai, Bai Guan, Kai Li

Erschienen in: Advances in Artificial Intelligence and Security

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Tibetan linguistics has a long history and has formed a relatively complete traditional grammar system, but there is no recognized and relatively complete modern formal grammar framework of Tibetan. In order to inherit, expand, extend and deepen the traditional Tibetan grammar and its formal requirements, this paper makes comparative study on Fillmore case grammar with traditional Tibetan grammar, and introduces a new Tibetan grammatical unit called case structure, and demonstrates that the case structure plays an important role in Tibetan syntactic and semantic analysis. Different case structures of the same verb form Tibetan sentences, and one Tibetan sentence can be uniquely decomposed into one or more case structures. Case structure not only carries the syntactic structure of the sentence, but also reflects the semantic components of the sentence. Therefore, under this grammatical framework, Tibetan syntactic and semantic analysis can be studied in an integrated way. This opinion has some certain theoretical significance for Tibetan grammar research and Tibetan natural language processing.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Zhao, Y., et al.: Tibetan multi-dialect speech recognition using latent regression Bayesian network and end-to-end mode. J. Internet of Things 1(1), 17–23 (2019)CrossRef Zhao, Y., et al.: Tibetan multi-dialect speech recognition using latent regression Bayesian network and end-to-end mode. J. Internet of Things 1(1), 17–23 (2019)CrossRef
2.
Zurück zum Zitat Kumar, S., Sastry, H.G., Marriboyina, V., Alshazly, H., Idris, S.A.: Semantic information extraction from multi-corpora using deep learning. Comput. Mater. Continua 70(3), 5021–5038 (2022)CrossRef Kumar, S., Sastry, H.G., Marriboyina, V., Alshazly, H., Idris, S.A.: Semantic information extraction from multi-corpora using deep learning. Comput. Mater. Continua 70(3), 5021–5038 (2022)CrossRef
3.
Zurück zum Zitat Rana, T.A., et al.: Extraction of opinion target using syntactic rules in Urdu text. Intell. Autom. Soft Comput. 29(3), 839–853 (2021)CrossRef Rana, T.A., et al.: Extraction of opinion target using syntactic rules in Urdu text. Intell. Autom. Soft Comput. 29(3), 839–853 (2021)CrossRef
4.
Zurück zum Zitat Ji, H., Oh, S., Kim, J., Choi, S., Park, E.: Integrating deep learning and machine translation for understanding unrefined languages. Comput. Mater. Continua 70(1), 669–678 (2022)CrossRef Ji, H., Oh, S., Kim, J., Choi, S., Park, E.: Integrating deep learning and machine translation for understanding unrefined languages. Comput. Mater. Continua 70(1), 669–678 (2022)CrossRef
5.
Zurück zum Zitat Kolhar, M., Alameen, A.: Artificial intelligence based language translation platform. Intell. Autom. Soft Comput. 28(1), 1–9 (2021)CrossRef Kolhar, M., Alameen, A.: Artificial intelligence based language translation platform. Intell. Autom. Soft Comput. 28(1), 1–9 (2021)CrossRef
6.
Zurück zum Zitat Humboldt, W.V.: The Diversity of Human Language-Structure and its Influence on the Mental Development of Mankind. The Commercial Press (1998) Humboldt, W.V.: The Diversity of Human Language-Structure and its Influence on the Mental Development of Mankind. The Commercial Press (1998)
7.
Zurück zum Zitat Liu, Y.: Computational Linguistics, p. 204. Tsinghua University Press, Beijing (2014) Liu, Y.: Computational Linguistics, p. 204. Tsinghua University Press, Beijing (2014)
8.
Zurück zum Zitat Cai, S., Zou, C.: Formal Theoretical Research on Natural Language, p. 5. People’s Publishing House, Beijing (2010) Cai, S., Zou, C.: Formal Theoretical Research on Natural Language, p. 5. People’s Publishing House, Beijing (2010)
9.
Zurück zum Zitat Feng, Z.: Formal Model of Natural Language Processing, p. 306. University of Science and Technology of China Press, Beijing (2010) Feng, Z.: Formal Model of Natural Language Processing, p. 306. University of Science and Technology of China Press, Beijing (2010)
10.
Zurück zum Zitat Liu, Y.: Computational linguistics, p. 198. Tsinghua University Press, Beijing (2014) Liu, Y.: Computational linguistics, p. 198. Tsinghua University Press, Beijing (2014)
11.
Zurück zum Zitat Feng, Z.: Formal Model of Natural Language Processing, p. 295. University of Science and Technology of China Press, Beijing (2010) Feng, Z.: Formal Model of Natural Language Processing, p. 295. University of Science and Technology of China Press, Beijing (2010)
12.
Zurück zum Zitat Ma, J.: Clarification of the Four Structures of Tibetan Grammar: Tibtan, p. 62. Ethnic Publishing House, Beijing (2008) Ma, J.: Clarification of the Four Structures of Tibetan Grammar: Tibtan, p. 62. Ethnic Publishing House, Beijing (2008)
13.
Zurück zum Zitat Yuan, Y.: Research on the Valence Grammar in Chinese, vol. 3, pp. 73–74. Commerce and Trade Press, Beijing (2010) Yuan, Y.: Research on the Valence Grammar in Chinese, vol. 3, pp. 73–74. Commerce and Trade Press, Beijing (2010)
14.
Zurück zum Zitat Feng, Z.: Formal Model of Natural Language Processing, p. 294. Beijing: University of Science and Technology of China Press (2010) Feng, Z.: Formal Model of Natural Language Processing, p. 294. Beijing: University of Science and Technology of China Press (2010)
15.
Zurück zum Zitat Ma, J.: Tibetan Grammar: Tibetan, p. 281. Qinghai Ethnic Publishing House, Xining (1998) Ma, J.: Tibetan Grammar: Tibetan, p. 281. Qinghai Ethnic Publishing House, Xining (1998)
16.
Zurück zum Zitat Gesangjumei, G.: Practical Tutorial Tibetan Grammar, p. 112. Sichuan Ethnic Publishing House, Sichuan (2004) Gesangjumei, G.: Practical Tutorial Tibetan Grammar, p. 112. Sichuan Ethnic Publishing House, Sichuan (2004)
17.
Zurück zum Zitat Ji, T.: Research on Syntax of Tibetan Language, p. 294. China Tibetology Press (2013) Ji, T.: Research on Syntax of Tibetan Language, p. 294. China Tibetology Press (2013)
18.
Zurück zum Zitat Nog, D., Jia, Z.: The Computational Linguistics of Tibetan. Southwest Jiaotong University Press, Sichuan, p. 127 (2014) Nog, D., Jia, Z.: The Computational Linguistics of Tibetan. Southwest Jiaotong University Press, Sichuan, p. 127 (2014)
19.
Zurück zum Zitat Zu, G.: Tibetan Verb List: Tibetan, p. 2. Tibetan people's Publishing House, Lhasa (1999) Zu, G.: Tibetan Verb List: Tibetan, p. 2. Tibetan people's Publishing House, Lhasa (1999)
20.
Zurück zum Zitat Rao, D., McMahan, B.: Natural Language Processing with PyTorch. China Electric Power Press (2021) Rao, D., McMahan, B.: Natural Language Processing with PyTorch. China Electric Power Press (2021)
Metadaten
Titel
Re-introduction to Tibetan Case Structure and Its Grammatical Functions
verfasst von
Hua Cai
Bai Guan
Kai Li
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-031-06761-7_17

Premium Partner