Results 281 to 290 of about 24,148,830 (341)
Some of the next articles are maybe not open access.
IEEE Transactions on Computers, 1969
This paper proposes a compatible extension of PL/I as a general-purpose process-control language which makes analog and digital real-time variables available in essentially the same manner as conventional PL/I variables. Provisions are made for handling external interrupts and scheduling of tasks, including periodic tasks and groups of tasks ...
Peter I. P. Boulton, Pierce A. Reid
openaire +2 more sources
This paper proposes a compatible extension of PL/I as a general-purpose process-control language which makes analog and digital real-time variables available in essentially the same manner as conventional PL/I variables. Provisions are made for handling external interrupts and scheduling of tasks, including periodic tasks and groups of tasks ...
Peter I. P. Boulton, Pierce A. Reid
openaire +2 more sources
Book Reviews: Foundations of Statistical Natural Language Processing
International Conference on Computational Logic, 1999Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear.
Christopher D. Manning, Hinrich Schütze
semanticscholar +1 more source
Pre-trained models for natural language processing: A survey
Science China Technological Sciences, 2020Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP.
Xipeng Qiu +5 more
semanticscholar +1 more source
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools
Neurocomputing, 2021Natural Language Processing (NLP) is a branch of artificial intelligence that involves the design and implementation of systems and algorithms able to interact through human language.
Ivano Lauriola, A. Lavelli, F. Aiolli
semanticscholar +1 more source
Recent Trends in Deep Learning Based Natural Language Processing
IEEE Computational Intelligence Magazine, 2017Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains.
Tom Young +3 more
semanticscholar +1 more source
Science, 1977
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural language; cooperative interfaces to databases and knowledge bases that model aspects of human-human interaction ...
openaire +2 more sources
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural language; cooperative interfaces to databases and knowledge bases that model aspects of human-human interaction ...
openaire +2 more sources
Journal of Logic, Language and Information, 1999
Computer-based logic proofs are a form of ’’unnatural‘‘ language in which the process and structure of proof generation can be observed in considerable detail. We have been studying how students respond to multimodal logic teaching, and performance measures have already indicated that students‘ pre-existing cognitive styles have a significant impact on
Jon Oberlander +4 more
openaire +1 more source
Computer-based logic proofs are a form of ’’unnatural‘‘ language in which the process and structure of proof generation can be observed in considerable detail. We have been studying how students respond to multimodal logic teaching, and performance measures have already indicated that students‘ pre-existing cognitive styles have a significant impact on
Jon Oberlander +4 more
openaire +1 more source
Natural language processing applications for low-resource languages
Natural Language ProcessingNatural language processing (NLP) has significantly advanced our ability to model and interact with human language through technology. However, these advancements have disproportionately benefited high-resource languages with abundant data for training ...
Partha Pakray +2 more
semanticscholar +1 more source
Language and Linguistics Compass, 2010
Abstract Sign languages present a unique and natural opportunity to investigate the cognitive mechanisms of language comprehension and production, particularly in terms of their universality. Sign‐speech comparisons can lead to important theoretical insights about language processing.
openaire +1 more source
Abstract Sign languages present a unique and natural opportunity to investigate the cognitive mechanisms of language comprehension and production, particularly in terms of their universality. Sign‐speech comparisons can lead to important theoretical insights about language processing.
openaire +1 more source
Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction -
openaire +1 more source
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction -
openaire +1 more source