Zobrazeno 1 - 10
of 12 996
pro vyhledávání: '"rule-based machine translation"'
Autor:
Holste, Alexander
The Model of Automated Knowledge Communication outlined in this postdoctoral thesis aims to broaden the scope of current conceptualizations of specialized communication to account for self-adapting, AI-/LLM-based machines since these are presently ch
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/85661
Autor:
Brita Banitz
Publikováno v:
Cadernos de Tradução, Vol 40, Iss 1, Pp 54-71 (2020)
The essay provides a critical assessment of the performance of two distinct machine translation systems, Systran and Google Translate. First, a brief overview of both rule-based and statistical machine translation systems is provided followed by a di
Externí odkaz:
https://doaj.org/article/809494955c5849958247710375a58c4a
Publikováno v:
IEEE Transactions on Engineering Management. 70:1857-1870
Due to the personalized and diversified expression habits, the evaluation information in multiple criteria decision-making (MCDM) problems, especially those with multiple experts, may appear in heterogeneous forms. Converting heterogeneous expression
Autor:
kanaan mikael Kaka-Khan
Publikováno v:
UHD Journal of Science and Technology, Vol 2, Iss 2, Pp 32-39 (2018)
In this paper we present a machine translation system developed to translate simple English sentences to Kurdish. The system is based on the (apertuim) free open source engine that provides the environment and the required tools to develop a machine
Externí odkaz:
https://doaj.org/article/937689ebe74f432b97ea1a53879bd77c
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Transactions on Software Engineering. 48:1138-1153
Grammars can serve as producers for structured test inputs that are syntactically correct by construction. A probabilistic grammar assigns probabilities to individual productions, thus controlling the distribution of input elements. Using the grammar
Publikováno v:
IEEE Transactions on Multimedia. 24:768-779
Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, ignoring other potentially non-trivial and informative contents. Such characteristic heavily constrains their capabil
Publikováno v:
Information Fusion. 77:118-132
This study focuses on linguistic information operational realization through information granulation in group decision-making (GDM) scenarios where the preference information offered by decision-makers over alternatives is described using distributed
Autor:
Kamo Chilingaryan
Publikováno v:
RUDN Journal of Language Studies, Semiotics and Semantics, Vol 12, Iss 1, Pp 196-218 (2021)
The article is devoted to a comprehensive study of the stages of formation and development of corpus linguistics. The purpose of the article is to analyze various scientific approaches to the scientific significance of this linguistic discipline and