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pro vyhledávání: '"Machine-readable dictionary"'
Akademický článek
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Autor:
Nahli, Ouafae
Currently, large lexical resources are getting a high potential relevance for information systems and need of Lexical resources in Natural Language Processing (NLP) fields is paramount. To contribute meet these needs, we build a lexical resource from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f7338738b2353b09121117e5241fcc0
Autor:
OrhanUmut, TuranErhan
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 21:1-19
In this study, a novel confidence indexing algorithm is proposed to minimize human labor in controlling the reliability of automatically extracted synsets from a non-machine-readable monolingual dictionary. Contemporary Turkish Dictionary of Turkish
Publikováno v:
MWE@NAACL-HLT
Past approaches to translate a phrase in a language L1 to a language L2 using a dictionary-based approach require grammar rules to restructure initial translations. This paper introduces a novel method without using any grammar rules to translate a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea87cdfb0f8a27f8a1f410e16e7ba11
Autor:
David Sabiiti Bamutura
Publikováno v:
Linköping Electronic Conference Proceedings.
Current research in computational linguistics and NLP requires the existence of language resources. Whereas these resources are available for only a few well-resourced languages, there are many languages that have been neglected. Among the neglected
Publikováno v:
International journal of advanced computer science and technology Volume-IX, Issue-X (2020): 3863–3884.
info:cnr-pdr/source/autori:MUSTAPHA KHALFI ARSALANE ZARGHILI OUAFAE NAHLI/titolo:A New Rich Lexical Resource For Classical Arabic/doi:/rivista:International journal of advanced computer science and technology/anno:2020/pagina_da:3863/pagina_a:3884/intervallo_pagine:3863–3884/volume:Volume-IX, Issue-X
info:cnr-pdr/source/autori:MUSTAPHA KHALFI ARSALANE ZARGHILI OUAFAE NAHLI/titolo:A New Rich Lexical Resource For Classical Arabic/doi:/rivista:International journal of advanced computer science and technology/anno:2020/pagina_da:3863/pagina_a:3884/intervallo_pagine:3863–3884/volume:Volume-IX, Issue-X
Currently, large lexical resources are getting a high potential relevance for information systems and need of Lexical resources in Natural Language Processing (NLP) fields is paramount. To contribute meet these needs, we build a lexical resource from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::5e5c946c4649ae3aef5ff6a9ccb69df2
https://publications.cnr.it/doc/438041
https://publications.cnr.it/doc/438041
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:454-467
In this paper, we propose a novel fine-grained dictionary learning method for image classification. To learn a high-quality discriminative dictionary, three types of multispecific subdictionaries, i.e., class-specific dictionaries (CSDs), universal d
Autor:
Scott T. Acton, Rituparna Sarkar
Publikováno v:
IEEE Transactions on Image Processing. 27:749-763
In image classification, obtaining adequate data to learn a robust classifier has often proven to be difficult in several scenarios. Classification of histological tissue images for health care analysis is a notable application in this context due to
Akademický článek
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Autor:
Marina V. Datsishina
Publikováno v:
Philological Sciences. Scientific Essays of Higher Education. :42-47