sarapapi/hearing2translate
Sep 2025 – Dec 2025
4 Months active
Languages Used
BibTeXCSVJSONJupyter NotebookMarkdownPython
Technical Skills
Code RefactoringData AnalysisData CleaningData EngineeringData ProcessingDataset Curation
zhopto3
PROFILE
Zhopto3
Zach Hopton developed analytics and data generation features for the sarapapi/hearing2translate repository, focusing on multilingual speech translation and accent-aware evaluation. Over four months, Zach engineered reproducible pipelines for dataset curation, analysis, and reporting, leveraging Python, Pandas, and Jupyter Notebooks. He implemented tooling for generating and evaluating datasets such as CommonAccent, CoVoST2, and ManDI, enabling scalable data provisioning and detailed performance comparisons across language pairs and accents. His work emphasized robust metric normalization, CSV export, and notebook hygiene, resulting in reliable, exportable analytics workflows. Zach’s contributions deepened cross-accent insights and improved the quality and reproducibility of evaluation processes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
23Total
Bugs
0
Commits
23
Features
8
Lines of code
931,073
Activity Months4
Your Network
15 peopleWork History
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for sarapapi/hearing2translate. Delivered two major analytics features that advance multilingual translation evaluation and reporting: (1) Accent-aware translation quality analysis with across-accent metrics and new language pairs, (2) Expanded CoVoST2 and ManDI analyses with notebook reporting, improved metrics, and CSV export. Strengthened metric normalization and reporting reliability to ensure consistent, reproducible results across accents and language directions. No externally reported critical bugs; focus was on delivering business value through broader coverage, robust metrics, and exportable reporting workflows.
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for sarapapi/hearing2translate. Delivered two major analytics features that advance multilingual translation evaluation and reporting: (1) Accent-aware translation quality analysis with across-accent metrics and new language pairs, (2) Expanded CoVoST2 and ManDI analyses with notebook reporting, improved metrics, and CSV export. Strengthened metric normalization and reporting reliability to ensure consistent, reproducible results across accents and language directions. No externally reported critical bugs; focus was on delivering business value through broader coverage, robust metrics, and exportable reporting workflows.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025In 2025-11, the sarapapi/hearing2translate repository delivered an Accent-Aware Language Analysis and Reporting feature, enabling common-accent analysis across languages and the generation of detailed reports on accent variations. The work included two targeted commits advancing the analytics capability: bf0c58e039e48a2233b9ecd78fef340281928983 (CommonAccent Analysis) and baccfd6cb611f94c11eeeeb4a1bbf501e1f6bedc (ManDI analysis update). Major bugs fixed: none identified this month. Overall impact: enhanced multilingual data insights and reporting capabilities for language processing tasks, laying groundwork for broader analytics, improved language coverage, and better business decisions. Technologies/skills demonstrated: accent-aware analytics, cross-language data insights, reporting enhancements, and disciplined version control with incremental analysis pipeline updates.
November 2025
2 Commits • 1 Features
Nov 1, 2025In 2025-11, the sarapapi/hearing2translate repository delivered an Accent-Aware Language Analysis and Reporting feature, enabling common-accent analysis across languages and the generation of detailed reports on accent variations. The work included two targeted commits advancing the analytics capability: bf0c58e039e48a2233b9ecd78fef340281928983 (CommonAccent Analysis) and baccfd6cb611f94c11eeeeb4a1bbf501e1f6bedc (ManDI analysis update). Major bugs fixed: none identified this month. Overall impact: enhanced multilingual data insights and reporting capabilities for language processing tasks, laying groundwork for broader analytics, improved language coverage, and better business decisions. Technologies/skills demonstrated: accent-aware analytics, cross-language data insights, reporting enhancements, and disciplined version control with incremental analysis pipeline updates.
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Focused on expanding performance analysis across Covost2, CoVoST, and CommonAccent datasets for the hearing2translate project. Delivered richer reporting artifacts and data-driven insights to enable more effective comparisons across language pairs and system configurations. Primary work centered on feature delivery with a strong emphasis on data quality, reproducibility, and business value. No explicit major bug fixes captured this period; the improvements primarily enhance analytics capabilities and reporting pipelines.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Focused on expanding performance analysis across Covost2, CoVoST, and CommonAccent datasets for the hearing2translate project. Delivered richer reporting artifacts and data-driven insights to enable more effective comparisons across language pairs and system configurations. Primary work centered on feature delivery with a strong emphasis on data quality, reproducibility, and business value. No explicit major bug fixes captured this period; the improvements primarily enhance analytics capabilities and reporting pipelines.
October 2025
September 2025
15 Commits • 4 Features
Sep 1, 2025In Sep 2025, delivered end-to-end data generation, evaluation tooling, and reproducibility enhancements for the hearing2translate project, enabling scalable, multilingual data provisioning and quality analytics across multiple datasets.
September 2025
15 Commits • 4 Features
Sep 1, 2025In Sep 2025, delivered end-to-end data generation, evaluation tooling, and reproducibility enhancements for the hearing2translate project, enabling scalable, multilingual data provisioning and quality analytics across multiple datasets.
Activity
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Quality Metrics
Correctness87.8%
Maintainability85.2%
Architecture84.4%
Performance82.6%
AI Usage28.8%
Skills & Technologies
Programming Languages
BibTeXCSVJSONJupyter NotebookMarkdownPython
Technical Skills
Code RefactoringData AnalysisData CleaningData EngineeringData ProcessingData VisualizationDataset CurationDataset GenerationDataset ManagementDocumentationFile HandlingFile ManagementJupyter NotebookJupyter NotebooksMachine Learning Evaluation
Repositories Contributed To
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