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pro vyhledávání: '"Enikő Héja"'
Autor:
Enikő Héja, Noémi Ligeti-Nagy
Publikováno v:
Acta Linguistica Academica. 69:521-548
The Word-in-Context corpus, which forms part of the SuperGLUE benchmark dataset, focuses on a specific sense disambiguation task: it has to be decided whether two occurrences of a given target word in two different contexts convey the same meaning or
Publikováno v:
Linguistics ISBN: 9780199772810
Bilingual dictionaries are created to build a bridge between two languages, the source and the target language, so that speakers of the two understand each other. Bilingual lexicography is a discipline exploring bilingual dictionaries from various as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f38a6ba44a691d502bd5e1e716d2a04
https://doi.org/10.1093/obo/9780199772810-0301
https://doi.org/10.1093/obo/9780199772810-0301
Autor:
Enikő Héja, Tamás Váradi
Publikováno v:
Magyar Terminológia. 4:226-237
Summary The aim of this paper is to confirm that the methodology used to extract one-token translation candidates from parallel corpora can be extended for the purposes of retrieving multi-word verbal structures. The relevance of this technique from
Autor:
Enikő Héja
Publikováno v:
International Journal of Lexicography. :ecw032
Autor:
Kata Gábor, Enikő Héja
Publikováno v:
ACL
Our paper reports an attempt to apply an unsupervised clustering algorithm to a Hungarian treebank in order to obtain semantic verb classes. Starting from the hypothesis that semantic metapredicates underlie verbs' syntactic realization, we investiga
Autor:
Enikö Héja, Kata Gábor
Publikováno v:
Anuario del Seminario de Filología Vasca "Julio de Urquijo", Vol 41, Iss 2 (2007)
Our applied linguistic research aims at increasing the efficiency of a rule-based information extraction (IE) system by enhancing it with further grammatical knowledge. The input of the IE system is made up of sentences of business news. The event of
Externí odkaz:
https://doaj.org/article/1fc51029cbb34e18bb61fee4abaa841d
Autor:
Kata Gábor, Enikö Héja
Publikováno v:
Anuario del Seminario de Filología Vasca "Julio de Urquijo", Vol 41, Iss 2 (2007)
A significant number of natural language processing applications cannot work without syntactic parsing. The automatic syntactic analysis of natural language texts in turn requires an efficient method for differentiating between elements that belong t
Externí odkaz:
https://doaj.org/article/4068bdb7968346ce8e9aa66364262769