Results 31 to 40 of about 95,049 (308)
Endurant vs perdurant : ontological motivation for language variations [PDF]
, 2023 30th Pacific Asia Conference on Language, Information and Computation, Oct.
Huang, CR
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Team Learning of Computable Languages [PDF]
Theory of Computing Systems, 2000 A team of learning machines is a multiset of learning machines. A team is said to learn a concept successfully if each member of some nonempty subset, of predetermined size, of the team learns the concept. Team learning of languages may be viewed as a suitable theoretical model for studying computational limits on the use of multiple heuristics in ...
Jain, S., Sharma, A.
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Dynamical systems via domains:Toward a unified foundation of symbolic and non-symbolic computation [PDF]
, 2021 Non-symbolic computation (as, e.g., in biological and artificial neural networks) is astonishingly good at learning and processing noisy real-world data.
Hornischer, L.A.
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Languages and the computing profession [PDF]
Computer, 2004 When involved in a project to develop an intermediary language, translators, interpreters, and linguists will need to work closely together, as grammar and vocabulary are closely interdependent. In this case, both must cope with the translation of many hundreds of wildly different languages.
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Natural Language Semantics and Computability [PDF]
Journal of Logic, Language and Information, 2019 This paper is a reflexion on the computability of natural language semantics. It does not contain a new model or new results in the formal semantics of natural language: it is rather a computational analysis of the logical models and algorithms currently used in natural language semantics, defined as the mapping of a statement to logical formulas ...
Moot, Richard, Retoré, Christian
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A tradeoff between acoustic and linguistic feature encoding in spoken language comprehension
eLife, 2023 When we comprehend language from speech, the phase of the neural response aligns with particular features of the speech input, resulting in a phenomenon referred to as neural tracking.
Filiz Tezcan +2 more
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Word prediction in computational historical linguistics
Journal of Language Modelling, 2021 In this paper, we investigate how the prediction paradigm from machine learning and Natural Language Processing (NLP) can be put to use in computational historical linguistics. We propose word prediction as an intermediate task, where the forms of unseen
Peter Dekker, Willem Zuidema
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Modular Composition of Language Features through Extensions of Semantic Language Models [PDF]
, 1999 Today, programming or specification languages are often extended in order to customize them for a particular application domain or to refine the language definition. The extension of a semantic model is often at the centre of such an extension.
Claus Pahl, Pahl, Claus
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Frontiers in Psychology, 2018 Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources.
M. P. Roncaglia-Denissen +5 more
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Languages for Computer Music [PDF]
Frontiers in Digital Humanities, 2018 Specialized languages for computer music have long been an important area of research in this community. Computer music languages have enabled composers who are not software engineers to nevertheless use computers effectively. While powerful general-purpose programming languages can be used for music tasks, experience has shown that time plays a ...
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