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Tag: Semantics
From Syntax to Semantics: Insights from Machine Translation (Communication in Artificial Intelligence)
Price: $28.50
(as of Dec 28,2024 01:12:01 UTC – Details)
Publisher : Intellect Ltd (May 1, 1988)
Language : English
Hardcover : 262 pages
ISBN-10 : 0893915262
ISBN-13 : 978-0893915261
Item Weight : 1.15 pounds
Dimensions : 6.25 x 1.25 x 9.25 inches
From Syntax to Semantics: Insights from Machine Translation (Communication in Artificial Intelligence)Machine translation has made significant strides in recent years, with algorithms becoming increasingly adept at translating text from one language to another. While much of the focus has been on improving the accuracy of these translations, there is also growing interest in understanding the underlying processes that enable machines to accurately convey meaning from one language to another.
One key aspect of this process is the transition from syntax to semantics. Syntax refers to the structure and rules governing the arrangement of words in a sentence, while semantics pertains to the meaning of those words and how they combine to convey larger ideas. Machine translation systems must not only accurately parse the syntax of a sentence but also understand the semantics in order to produce a coherent and accurate translation.
Recent research in artificial intelligence has shed light on how machine translation systems are able to bridge the gap between syntax and semantics. By incorporating neural networks and deep learning techniques, these systems are able to learn the relationships between words and phrases in different languages, enabling them to generate translations that capture the intended meaning of the original text.
Understanding how machines navigate the complexities of syntax and semantics in translation has broader implications for the field of artificial intelligence. By gaining insights into how machines process and interpret language, researchers can develop more sophisticated algorithms for a range of applications, from natural language processing to sentiment analysis.
As machine translation continues to advance, it is clear that the ability to effectively communicate meaning across languages is a key frontier in artificial intelligence. By delving into the nuances of syntax and semantics, researchers are uncovering new ways to improve the accuracy and efficiency of machine translation systems, ultimately bringing us closer to a world where language barriers are no longer a hindrance to communication.
#Syntax #Semantics #Insights #Machine #Translation #Communication #Artificial #Intelligence
Service-Oriented Computing: Semantics, Processes, Agents
Service-Oriented Computing: Semantics, Processes, Agents
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Service-Oriented Computing: Semantics, Processes, AgentsIn the world of information technology, service-oriented computing has emerged as a powerful paradigm for developing and deploying software applications. This approach focuses on creating services that are reusable, interoperable, and loosely coupled, allowing for greater flexibility and scalability in the development process.
One of the key aspects of service-oriented computing is the use of semantics to define the meaning and behavior of services. By using standardized languages and ontologies, developers can ensure that services can be easily discovered, understood, and integrated into larger systems.
Another important aspect of service-oriented computing is the use of processes to coordinate the interactions between services. Process modeling languages like BPMN and BPEL allow developers to define complex workflows that involve multiple services, ensuring that tasks are executed in a consistent and efficient manner.
Finally, service-oriented computing also involves the use of agents to automate and optimize the interactions between services. Intelligent agents can dynamically discover, select, and invoke services based on their capabilities and the current context, allowing for more adaptive and responsive software systems.
Overall, service-oriented computing offers a powerful and flexible approach to developing software applications that can adapt to changing requirements and environments. By focusing on semantics, processes, and agents, developers can create systems that are more resilient, efficient, and scalable.
#ServiceOriented #Computing #Semantics #Processes #Agents, ServiceNow
