Irish General Conversation Dataset
Project Overview:
Objective
The “Irish General Conversation Dataset” project is designed to enhance natural language processing models with a focus on Irish accents and dialects. This initiative will significantly improve voice recognition software’s understanding of and interaction with Irish English speakers, facilitating more accurate and user-friendly applications in voice-activated devices, virtual assistants, and customer support systems.
Scope
This comprehensive project entails the gathering and annotation of Irish English conversations from a variety of sources, including native speakers, linguistic studies, and culturally rich media. The key focus is on capturing the nuances of regional accents, colloquialisms, and idioms unique to Ireland.
Sources
- Native Speakers: Engage individuals from different regions of Ireland to provide a rich and varied collection of dialects.
- Linguistic Studies: Incorporate findings and samples from academic research focusing on Irish English.
- Cultural Media: Utilize media sources that showcase the Irish vernacular, such as podcasts, radio shows, and interviews.
Data Collection Metrics
- Total Conversations Collected: 18,000
- From Native Speakers: 10,000
- Through Linguistic Studies: 5,000
- From Cultural Media: 3,000
Annotation Process
Stages
- Dialect Identification: Annotate each conversation with specific regional dialects and unique linguistic features.
- Contextual Tagging: Tag conversations with context, such as formal, informal, urban, or rural settings. Annotation Metrics:
Annotation Metrics
- Conversations with Dialect Labels: 18,000
- Contextually Tagged Conversations: 18,000
Quality Assurance
Stages
- Annotation Verification: Establish a review system with linguistic experts to ensure the accuracy of dialect identification and contextual tagging.
- Data Quality Control: Filter out any recordings that are unclear or do not meet quality standards.
- Data Security and Privacy: Maintain strict protocols to protect the privacy of individuals involved and comply with data protection laws.
QA Metrics
- Annotation Validation Cases:1,800 (10% of total)
- Data Cleansing:Systematic removal of unsuitable recordings
Conclusion
The “Irish General Conversation Dataset” stands as an invaluable asset in the field of linguistic technology, particularly in enhancing voice recognition systems’ ability to understand and process Irish English. By capturing the rich diversity of Irish dialects and expressions, this dataset paves the way for more inclusive and efficient voice-operated technology, bridging the gap between technology and the unique linguistic heritage of Ireland.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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