Irish Text Files

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Project Overview:

Objective

The “Irish Text Files” initiative aims to compile a comprehensive dataset of Irish texts for use in linguistic research, language modeling, and cultural studies. This dataset will serve as an important resource for understanding the linguistic nuances of the Irish language. Additionally, it will support various applications, such as language translation services, educational tools, and cultural preservation efforts.

Scope

This project aims to gather a diverse collection of Irish texts, ranging from historical manuscripts to contemporary literature and digital sources. Each text is carefully annotated to highlight linguistic features, cultural references, and contextual meanings. By doing so, we aim to provide a comprehensive understanding of the Irish language and its cultural significance.

Sources

Historical Manuscripts: Acquire and digitize texts from historical documents, preserving the linguistic heritage of the Irish language.
Contemporary Literature: Include modern literary works to capture the evolving nature of the language.
Digital Sources: Utilize online repositories and digital libraries to gather diverse text samples.

Data Collection Metrics

Total Text Files Collected: 35,000
Historical Manuscripts: 15,000
Contemporary Literature: 10,000
Digital Sources: 10,000

Annotation Process

Stages

Linguistic Analysis: Annotate each text for grammatical, syntactic, and semantic features. Identify key linguistic elements, such as transition words and sentence structures.
Cultural Contextualization: Tag texts with cultural and historical references to provide deeper insights into Irish heritage. For instance, include references to Irish literature, historical events, and cultural practices to enrich the analysis.
Metadata Documentation: Record metadata details such as authorship, publication date, and source type. For example, ensure that the author’s name, the date of publication, and whether the source is a book, article, or digital content are documented.

Annotation Metrics

Texts with Linguistic Annotations: 35,000
Cultural and Historical Annotations: 35,000
Metadata Entries: 35,000

Quality Assurance

Stages

Annotation Verification: Make sure to check the annotations thoroughly to ensure they are accurate and relevant. This process should involve language experts and cultural historians.
Data Quality Control: Filter out any texts that are incomplete, hard to read, or not related to the project’s goals.
Data Security and Privacy: Set up strict rules to protect the integrity and confidentiality of the texts, especially those that are sensitive or of historical importance.

QA Metrics

Annotation Validation Cases: 3,500 (10% of total)
Data Cleansing: Curate the dataset by removing texts that do not meet quality standards.

Conclusion

The “Irish Text Files” project is a significant effort to preserve and study the Irish language. By collecting and annotating a large number of texts, it provides a valuable resource for linguists, researchers, educators, and anyone interested in Ireland’s rich linguistic heritage. This dataset not only helps in linguistic and cultural studies but also supports the development of language technologies tailored to the Irish language, promoting its use and appreciation in the digital age.

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