Results 291 to 300 of about 24,148,830 (341)
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1999
Until recently, the body of research in process modelling has been focused on different linguistic paradigms for the core PML in order to find the correct one. Our position now is that the idea of one standard, all-encompassing PML, is utopia. Theoretical problems and interoperability requirements (discussed in Section 3.3.8) have made this solution ...
Reidar Conradi, Maria Letizia Jaccheri
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Until recently, the body of research in process modelling has been focused on different linguistic paradigms for the core PML in order to find the correct one. Our position now is that the idea of one standard, all-encompassing PML, is utopia. Theoretical problems and interoperability requirements (discussed in Section 3.3.8) have made this solution ...
Reidar Conradi, Maria Letizia Jaccheri
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A Process Compensation Language
2000This paper presents a formal language for the design of component-based enterprise system. The language (StAC) allows the usual parallel and sequential behaviours, but most significant is the concept of compensation that allows a previous action to be undone. The semantics of the language is given by an operational approach.
Michael J. Butler, Carla Ferreira 0001
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LANGUAGE PROCESSING BY DYNAMICAL SYSTEMS
International Journal of Bifurcation and Chaos, 2004We describe a part of the stimulus sentences of a German language processing ERP experiment using a context-free grammar and represent different processing preferences by its unambiguous partitions. The processing is modeled by deterministic pushdown automata.
Peter beim Graben +3 more
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Gaussian Processes for Natural Language Processing
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials, 2014Gaussian Processes (GPs) are a powerful modelling framework incorporating kernels and Bayesian inference, and are recognised as stateof-the-art for many machine learning tasks. Despite this, GPs have seen few applications in natural language processing (notwithstanding several recent papers by the authors).
Trevor Cohn +2 more
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Processing Natural Language without Natural Language Processing
2003We can still create computer programs displaying only the most rudimentary natural language processing capabilities. One of the greatest barriers to advanced natural language processing is our inability to overcome the linguistic knowledge acquisition bottleneck.
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Intelligenza Artificiale, 2006
The study of language is fascinating for a number of reasons. First of all, human languages are intimately connected to the knowledge of the world and to our living in the world. We are able to talk about the things we can touch, about things that happen, about our emotions, desires, sensations.
Lesmo L., PAZIENZA, MARIA TERESA
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The study of language is fascinating for a number of reasons. First of all, human languages are intimately connected to the knowledge of the world and to our living in the world. We are able to talk about the things we can touch, about things that happen, about our emotions, desires, sensations.
Lesmo L., PAZIENZA, MARIA TERESA
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2011
Amazighe is a language spoken by millions of people in north Africa in majority, however, it is suffering from scarcity resources. The aim of this PhD thesis is to contribute to provide elementary resources and tools to process this language. In order to achieve this goal, we have achieved an annotated corpus of ∼20k tokens and trained two sequence ...
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Amazighe is a language spoken by millions of people in north Africa in majority, however, it is suffering from scarcity resources. The aim of this PhD thesis is to contribute to provide elementary resources and tools to process this language. In order to achieve this goal, we have achieved an annotated corpus of ∼20k tokens and trained two sequence ...
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Knowledge of Language and Natural Language Processing
2023Using knowledge rather than data is key in knowledge science and enables artificial systems to solve novel problems. We distinguish the knowledge of language internal to the mind from the externalized language. We differentiate the Generative Model of Language from Large Language Models.
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Connectionism and Language Processing
1990A survey of the field of connectionist work on language reveals a somewhat daunting variety of architectures, formalisms and models. Partly this diversity just reflects the breadth of the domain: language processing embraces everything from phoneme recognition to such areas as parsing, sentence disambiguation, story understanding, and speech generation.
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A process language for statecharts
1997We define a compositional labelled transition system semantics for statecharts via a translation into a new process language called SP. The main novelty of the language is an operator of process refinement, which reflects the statecharts hierarchical structure. The translation agrees with Pnueli and Shalev semantics of statecharts.
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