Irish General Conversation Dataset

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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.