Results 21 to 30 of about 110,856 (292)
Překladové právnické slovníky: budou brzy minulostí? [PDF]
The role of bilingual and multilingual legal dictionaries in translation and legal communication is changing as the availability of various online resources increases.
Tomáš Duběda
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Dictionaries in foreign language learning [PDF]
Although many things concerning foreign language dictionaries have already been said and discussed in scientific papers, we can still add some facts that seem important at this moment.
Ljubičić Gordana M.
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South Africa's New African Language Dictionaries and their Use for the African Speech Communities
<p>Abstract: During the last 15 years, the lexicographic scene in South Africa changed drastically as many new dictionaries for the African languages were compiled. The different dictionary types and publication modes discussed in this article are:
Juliane Klein
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The Evolution of Dictionaries of Economics: from a Glossary to a
Dictionaries of economics have evolved over time. In the past, most dictionaries were similar to glossaries and were in printed form. In this Internet era, some printed dictionaries have evolved into online dictionaries with various number of ...
Deny A. Kwary
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Online Robust Dictionary Learning [PDF]
Online dictionary learning is particularly useful for processing large-scale and dynamic data in computer vision. It, however, faces the major difficulty to incorporate robust functions, rather than the square data fitting term, to handle outliers in training data.
Cewu Lu, Jiaping Shi, Jiaya Jia
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Online Graph Dictionary Learning
Dictionary learning is a key tool for representation learning, that explains the data as linear combination of few basic elements. Yet, this analysis is not amenable in the context of graph learning, as graphs usually belong to different metric spaces. We fill this gap by proposing a new online Graph Dictionary Learning approach, which uses the Gromov ...
Vincent-Cuaz, Cédric +4 more
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Efficient Approximate Online Convolutional Dictionary Learning
Most existing convolutional dictionary learning (CDL) algorithms are based on batch learning, where the dictionary filters and the convolutional sparse representations are optimized in an alternating manner using a training dataset. When large training datasets are used, batch CDL algorithms become prohibitively memory-intensive.
Farshad G. Veshki, Sergiy A. Vorobyov
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Access Routes to BODY PART Multiword Expressions in the 'Big Five' MELDs: Use of Hyperlinks
The treatment of multiword expressions (MWEs) in dictionaries has not received much attention in metalexicography, although the significant role of phraseology has been stressed since the advent of corpus linguistics.
Sylwia Wojciechowska
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This paper advocates the convergence of terminology and lexicography, and illustrates this view by presenting some of the steps taken for incorporating terminological resources and ideas in an online dictionary portal that is being constructed at the ...
Pedro A. Fuertes-Olivera +1 more
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Online Dictionary Learning for Kernel LMS [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gao, Wei +3 more
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