Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

DQF Quick Start Guide


Published on

Quick Start Guide to the TAUS Dynamic Quality Framework

Published in: Software
  • DOWNLOAD FULL ▶ ▶ ▶ ▶ ◀ ◀ ◀ ◀
    Are you sure you want to  Yes  No
    Your message goes here

DQF Quick Start Guide

  1. 1. Quick Start Guide to the Dynamic Quality Framework
  2. 2. Solving an Industry-wide Challenge Dynamic Quality Framework Solution ● Dynamic, considering different content types, purposes, audiences ● Standardized quality evaluation methods applied to your workflow ● Benchmarking your performance against industry averages ● Translation activity tracking across different CAT tools ● Real-time reporting Quality Management Challenge ● Static, ‘one size fits all’ approach to quality evaluation ● Lack of an industry-shared quality standard ● No ability to benchmark against others in the industry ● No integrated tracking solution across different CAT tools ● Manual reporting process, use of checklists and score-cards
  3. 3. DQF Dashboard ● Productivity and quality measurement for translation and review process ● Integration with translation tools ● Internal and external benchmarking reports ● Customized reporting in your own reporting environment with Data Connector Available integrationsFeatures
  4. 4. Quality Evaluation with DQF-MQM Error Typology ● Three review types: correction, error annotation, combined ● Eight main error types and thirty-two subcategories ● Pass/fail threshold per 1000 words ● Four error severity levels: neutral, minor, major, critical ● Ability to create review templates per content type, process type, etc.
  5. 5. Harmonized DQF-MQM Error Typology
  6. 6. Connectivity Open API & Plugins Integration Most common CAT tools & TMS Data collection Translation & review process Visualization Interactive dashboard Performance tracking Project-level, benchmark and trend reports How does it Work?
  7. 7. Project Workflow and Reporting Project-level: ● Translation phase reports ● Review phase reports ● Segment-level reports Benchmark: ● Internal: On the level of user and organization ● External: Industry (other users) Trend reports ● Shared metrics across various user roles and tasks ● Each stakeholder gets access to the data relevant for their scope of work ● Transparent approach Reports Workflow
  8. 8. Step-by-step Process
  9. 9. DQF Reports
  10. 10. Project Reports On the project level, you can track such metrics as the average productivity rate, edit distance, time spent, correction and error density. Use the available filters to see the results per target language, vendor or segment origin category.
  11. 11. Benchmark Reports The Benchmark Reports allow you to compare your results against the averages in your organization and in the industry. Available: productivity, correction density and error density benchmarks. Error density
  12. 12. Trend Reports The Trend Reports give you insights in performance over time. Available: productivity, edit density and correction density trend reports.
  13. 13. Segment-level Reports For more detailed analysis, you can download Excel-based Segment-level Reports.
  14. 14. DQF & Privacy
  15. 15. What Kind of Data does TAUS Collect? ● Language Data: source text and its matching target content. ● Metadata: all data associated with the Language Data, such as information indicating the language pair, industry sector, content type and other pertinent information. ● Personal Data: name and email address of users who participate in the DQF project workflow. *All data is collected on a consensual basis. The user who initiates the DQF workflow agrees to the DQF Terms of Use and the TAUS Privacy Policy.
  16. 16. Where does TAUS Store DQF Data? The DQF services are running on a single AWS EC2 instance. Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. ● ● The DQF databases(API, statistics) are hosted on an AWS RDS instance. Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. ● We have defined a virtual network (Amazon Virtual Private Cloud - VPC) where both instances have been launched into. A VPC is an isolated portion of the AWS cloud where the communication between the two DQF instances is taking place. ● ● VPC Security - ● Network security - The availability zone in which these two DQF instances are located is the eu-west-1a EU (Ireland). Availability Zones are distinct locations within a region that are engineered to be insulated from failures in other Availability Zones. ●
  17. 17. Further Reading DQF White Paper: white-paper TAUS Terms & Conditions: TAUS Privacy Policy: DQF Terms of Use: Frequently Asked Questions DQF: GDPR:
  18. 18. Thank you