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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
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In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021)
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351)
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Universal Dependencies ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2020.lrec-1.497/ https://direct.mit.edu/coli/article/doi/10.1162/colia00402/98516/Universal-Dependencies Abstract: Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate--argument structures are encoded morphosyntactically in different languages while morphological features and part-of-speech classes give the properties of words. We argue that this theory is a good basis for cross-linguistically consistent annotation of typologically diverse languages in a way that supports computational natural language understanding as well as broader linguistic studies. ...
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Keyword:
Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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URL: https://underline.io/lecture/19924-universal-dependencies https://dx.doi.org/10.48448/v4am-ch68
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Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration ...
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351) ...
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Attention Can Reflect Syntactic Structure (If You Let It) ...
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What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? ...
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Schrödinger's Tree -- On Syntax and Neural Language Models ...
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Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ...
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Do Neural Language Models Show Preferences for Syntactic Formalisms? ...
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