BS ISO 24623-2:2021
Language resource management. Corpus query lingua franca (CQLF) Ontology
Standard number: | BS ISO 24623-2:2021 |
Pages: | 28 |
Released: | 2022-03-08 |
ISBN: | 978 0 539 13474 2 |
Status: | Standard |
BS ISO 24623-2:2021 Language Resource Management. Corpus Query Lingua Franca (CQLF) Ontology
Standard Number: BS ISO 24623-2:2021
Pages: 28
Released: 2022-03-08
ISBN: 978 0 539 13474 2
Name: Language Resource Management. Corpus Query Lingua Franca (CQLF) Ontology
Status: Standard
Overview
Unlock the full potential of your language resources with the BS ISO 24623-2:2021 Language Resource Management. Corpus Query Lingua Franca (CQLF) Ontology. This comprehensive standard is designed to streamline and enhance the management of language resources, providing a robust framework for corpus query operations.
Key Features
- Standard Number: BS ISO 24623-2:2021
- Pages: 28
- Release Date: 2022-03-08
- ISBN: 978 0 539 13474 2
- Status: Standard
Why Choose BS ISO 24623-2:2021?
The BS ISO 24623-2:2021 standard is an essential tool for anyone involved in the management of language resources. Whether you are a linguist, a data scientist, or a software developer, this standard provides the guidelines and best practices needed to effectively query and manage language corpora.
Comprehensive and Detailed
With 28 pages of detailed information, the BS ISO 24623-2:2021 standard covers all aspects of corpus query operations. It provides a thorough understanding of the Corpus Query Lingua Franca (CQLF) ontology, ensuring that you have all the information you need to implement and utilize this powerful tool.
Up-to-Date and Relevant
Released on March 8, 2022, this standard is up-to-date with the latest advancements in language resource management. It reflects the current best practices and methodologies, ensuring that you are using the most relevant and effective techniques in your work.
Internationally Recognized
As an ISO standard, the BS ISO 24623-2:2021 is internationally recognized and respected. It provides a common framework that can be used across different countries and organizations, facilitating collaboration and consistency in language resource management.
Applications
The BS ISO 24623-2:2021 standard is versatile and can be applied in various fields, including:
- Linguistics: Enhance your linguistic research with precise and efficient corpus queries.
- Data Science: Improve the accuracy and reliability of your language data analysis.
- Software Development: Develop robust language processing applications with a solid foundation in corpus query operations.
Benefits
Implementing the BS ISO 24623-2:2021 standard offers numerous benefits, including:
- Improved Efficiency: Streamline your corpus query operations with clear guidelines and best practices.
- Enhanced Accuracy: Ensure the accuracy and reliability of your language data analysis.
- Consistency: Maintain consistency in your language resource management across different projects and organizations.
- International Collaboration: Facilitate collaboration with international partners using a common framework.
Conclusion
The BS ISO 24623-2:2021 Language Resource Management. Corpus Query Lingua Franca (CQLF) Ontology is an invaluable resource for anyone involved in the management of language resources. With its comprehensive guidelines, up-to-date information, and international recognition, this standard provides the tools and knowledge needed to effectively query and manage language corpora. Enhance your language resource management today with the BS ISO 24623-2:2021 standard.
BS ISO 24623-2:2021
This standard BS ISO 24623-2:2021 Language resource management. Corpus query lingua franca (CQLF) is classified in these ICS categories:
- 01.020 Terminology (principles and coordination)
Language resource management. Lexical markup framework (LMF) TEI serialization
Management of terminology resources. TBX-compliant representation of concept relations and subject fields
Bibliographic references and source identifiers for terminology work
Language resource management. Semantic annotation framework Spatial information