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3 septembre 2021
- doi: 10.4000/books.aaccademia.8210
- eisbn: 9791280136336
https://www.openedition.org/12554 , info:eu-repo/semantics/openAccess
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Computational Linguistics Fine-grained sentiment analysis Distributional Semantics Quantitative Linguistic Investigations Gender Bias Depression from Social Media Online Hate Speech Automatic Sarcasm Detection TrAVaSI AriEmozione AEREST COVID-19 Linguistic Ostracism in Social Networks Multilingual NLU E3C Project DistilBERT Twitter during Pandemic LAN000000 Linguistics CBXSujets proches
Support systems, Social Networking, Social Networks, Social Social networking Social support systems Formal semantics Semasiology Semiology (Semantics) Novels Fiction--Plots Dramatic plots Drama--Plot Scenarios Papers Screen plays Filmscripts Photoplays Film scripts Moving-picture plays Scripts (Motion pictures) Film plays Screenplays Motion picture scripts Scenarios Linguistics--Data processing Language and languages--Data processing Language data processing Natural language processing (Linguistics) Automatic language processing Linguistic science Science of language Foreign languages Languages Sarcasm Case Bias Center-periphery relations Dependent nations Core-periphery relations Internet hate speech User-generated media Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examination Networks, Social Relations--Foreign countries Relations (Canon law)Citer ce document
Chiara Alzetta et al., « Quantitative Linguistic Investigations across Universal Dependencies Treebanks », Accademia University Press, ID : 10.4000/books.aaccademia.8210
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Résumé
The paper illustrates a case study aimed at identifying cross-lingual quantitative trends in the distribution of dependency relations in treebanks for typologically different languages. Preliminary results show interesting differences rooted either in language-specific peculiarities or cross-lingual annotation inconsistencies, with a potential impact on different application scenarios.