spraakbanken/metadata
Nov 2024 – Jun 2025
6 Months active
Languages Used
XMLYAMLJSONMarkdownPython
Technical Skills
ConfigurationData ManagementLinguistic Data OrganizationMetadata CurationMetadata ManagementSchema Management
Anne Schumacher
PROFILE
Anne Schumacher
Anne Schumacher contributed to the spraakbanken/metadata repository by developing and refining metadata management and linguistic analysis tools over six months. She focused on expanding language analysis collections, standardizing YAML configurations, and enhancing localization support to improve multilingual readiness. Using Python and YAML, Anne implemented data cleaning routines, schema documentation improvements, and new FastText-based NLP models for Swedish corpora. Her work included rigorous metadata hygiene, error handling, and documentation updates, which improved data quality, reproducibility, and onboarding for developers. By consolidating enhancements within a single repository, Anne enabled more reliable analytics, scalable localization, and privacy-aware NLP processing across multiple datasets.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
30Total
Bugs
5
Commits
30
Features
10
Lines of code
2,212
Activity Months6
Your Network
20 people
Work History
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025: Delivered metadata documentation improvements and expanded linguistic analysis capabilities for spraakbanken/metadata. Enhancements improve data quality, readability, and developer onboarding, while new FastText models enable ready-to-use NLP analysis across multiple Swedish datasets.
3 Commits • 2 Features
Jun 1, 2025June 2025: Delivered metadata documentation improvements and expanded linguistic analysis capabilities for spraakbanken/metadata. Enhancements improve data quality, readability, and developer onboarding, while new FastText models enable ready-to-use NLP analysis across multiple Swedish datasets.
June 2025
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for spraakbanken/metadata focused on data quality, consistency, and NLP feature enhancements across the Kubord 2 corpus. Delivered robust YAML data standardization, improved parsing integrity, and expanded localization keyword support (BERT and PI detection). Also corrected metadata timestamps to reflect accurate creation dates. These efforts reduce downstream data errors, enable more reliable analytics, and strengthen privacy-aware NLP capabilities across multiple years, delivering tangible business value and a foundation for scalable data processing.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for spraakbanken/metadata focused on data quality, consistency, and NLP feature enhancements across the Kubord 2 corpus. Delivered robust YAML data standardization, improved parsing integrity, and expanded localization keyword support (BERT and PI detection). Also corrected metadata timestamps to reflect accurate creation dates. These efforts reduce downstream data errors, enable more reliable analytics, and strengthen privacy-aware NLP capabilities across multiple years, delivering tangible business value and a foundation for scalable data processing.
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for spraakbanken/metadata focusing on data quality and metadata accuracy. No new user-facing features were delivered this month; the emphasis was on cleaning up outdated metadata to improve reporting integrity and downstream tooling compatibility.
1 Commits
Apr 1, 2025April 2025 monthly summary for spraakbanken/metadata focusing on data quality and metadata accuracy. No new user-facing features were delivered this month; the emphasis was on cleaning up outdated metadata to improve reporting integrity and downstream tooling compatibility.
April 2025
February 2025
15 Commits • 3 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for spraakbanken/metadata. The team delivered substantive localization tooling and metadata hygiene improvements, enhanced documentation and formatting standards, and refactored metadata workflows to improve maintainability and reduce localization errors. This work establishes a stronger foundation for scalable localization efforts and data governance across metadata assets.
February 2025
15 Commits • 3 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for spraakbanken/metadata. The team delivered substantive localization tooling and metadata hygiene improvements, enhanced documentation and formatting standards, and refactored metadata workflows to improve maintainability and reduce localization errors. This work establishes a stronger foundation for scalable localization efforts and data governance across metadata assets.
January 2025
2 Commits • 1 Features
Jan 1, 2025Delivered core metadata improvements in 2025-01, focusing on multilingual readiness and data quality. Implemented localization support and resolved key YAML formatting issues to improve consistency, searchability, and translation workflows across the repository.
2 Commits • 1 Features
Jan 1, 2025Delivered core metadata improvements in 2025-01, focusing on multilingual readiness and data quality. Implemented localization support and resolved key YAML formatting issues to improve consistency, searchability, and translation workflows across the repository.
January 2025
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for spraakbanken/metadata focused on expanding language analysis capabilities, organizing Mink analyses, and cleaning metadata to reduce maintenance overhead. Key outcomes include a broader modern Swedish analyses collection integrated with Korp, a new Mink analyses YAML collection, and metadata/schema cleanup eliminating outdated schemas and updating licensing and resource data. These changes enhance data discovery, reproducibility, and researcher workflows, while minimizing compliance and maintenance risks.
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for spraakbanken/metadata focused on expanding language analysis capabilities, organizing Mink analyses, and cleaning metadata to reduce maintenance overhead. Key outcomes include a broader modern Swedish analyses collection integrated with Korp, a new Mink analyses YAML collection, and metadata/schema cleanup eliminating outdated schemas and updating licensing and resource data. These changes enhance data discovery, reproducibility, and researcher workflows, while minimizing compliance and maintenance risks.
Activity
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Quality Metrics
Correctness96.4%
Maintainability97.0%
Architecture94.8%
Performance98.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPythonXMLYAML
Technical Skills
API InteractionCode FormattingConfigurationConfiguration ManagementData CleaningData CurationData EngineeringData ExtractionData ManagementDocumentationEditorConfigError HandlingFile HandlingInternationalizationLinguistic Data Organization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline