Links

About the ATA Exam
MQM Scorecard
How to use the corpus? (Coming soon)

Take a look at our data

Total Exams
Total Errors
Unique Source Texts
Years Covered
Language Pairs

About Us

The ATA Exam Corpus is developed by the BYU Translation Research Group, a group of passionate translation professionals and students at Brigham Young University. We aim to create tools that empower learners and help them succeed in their exams and careers.

Help

The ATA Exam Corpus is a comprehensive database containing exam data and error analysis from the American Translators Association certification exams. This application provides tools to search, analyze, and explore this valuable dataset.

Navigation Guide

Overview Page

The main landing page provides statistics about the corpus, quick links to external resources, and an overview of available data.

Error Search

Search and filter errors by various criteria such as:

  • Error type and category
  • Language pair
  • Exam year
  • Severity level
  • Text content

Exam Search

Search through exam data and candidate information. Filter by:

  • Exam session
  • Language combination
  • Pass/fail status
  • Score ranges

Feedback

Submit feedback, suggestions, or report issues with the application. Your input helps us improve the tool.

Search Tips

General Search Guidelines

  • Use specific keywords for better results
  • Combine multiple filters to narrow down results
  • Use wildcard characters (*) for partial matches
  • Clear filters to reset your search

Advanced Filtering

  • Select multiple options in dropdown filters to expand results
  • Use date ranges to focus on specific time periods
  • Sort results by different columns for better analysis

About the Data

The corpus contains anonymized data from ATA certification exams spanning multiple years. All personal information has been removed to protect candidate privacy while preserving the analytical value of the error patterns and exam statistics.

Data Coverage

  • Exam years: 1999-2022
  • Multiple language pairs
  • Various text types and domains
  • Comprehensive error categorization using MQM framework

Technical Support

Common Issues

  • If searches are slow, try using more specific filters
  • Clear your browser cache if you experience display issues
  • Ensure JavaScript is enabled for full functionality
  • Use the feedback form to report persistent problems

Browser Compatibility

This application works best with modern browsers including Chrome, Firefox, Safari, and Edge. For optimal performance, please ensure your browser is up to date.

Contact & Resources

External Links

Getting Help

For additional assistance, technical support, or questions about the data, please use the Feedback page to contact the development team.