Post-Editing Effort Metric

A Post-Editing Effort Metric is an effort metric that is a human-centered metric that can support post-editing evaluation tasks by quantifying human effort required to transform system outputs into acceptable outputs.

• AKA: PE Effort Metric, Human Effort Metric, Editing Cost Metric, Revision Effort Metric.
• Context:
  • It can typically measure Edit Operation Counts between initial outputs and final versions.
  • It can typically calculate Time Cost for human revision.
  • It can typically estimate Cognitive Load of editing tasks.
  • It can typically assess Keystroke Counts in revision processes.
  • It can typically predict Productivity Gain from system assistance.
  • ...
  • It can often correlate with Actual Editing Time in user studys.
  • It can often distinguish between Technical Edits and preferential edits.
  • It can often account for Edit Complexity in effort calculations.
  • It can often normalize by Text Length for fair comparisons.
  • ...
  • It can range from being a Simple Post-Editing Effort Metric to being a Comprehensive Post-Editing Effort Metric, depending on its factor coverage.
  • It can range from being an Objective Post-Editing Effort Metric to being a Subjective Post-Editing Effort Metric, depending on its measurement type.
  • ...
  • It can integrate with Time Tracking System for duration measurement.
  • It can interface with Keystroke Logger for action counting.
  • it can connect to User Study Platform for empirical validation.
  • It can synchronize with Annotation Interface for edit collection.
  • It can communicate with Productivity Tool for efficiency analysis.
  • ...
• Example(s):
  • Translation Post-Editing Effort Metrics, such as:
    • Translation Edit Rate (TER) for MT post-editing.
    • Human-Targeted Translation Edit Rate (HTER) with human reference.
    • Post-Edit Distance for revision measurement.
  • Text Generation Post-Editing Effort Metrics, such as:
    • Grammatical Error Correction Post-Editing Effort Metrics for GEC evaluation.
    • Summarization Post-Editing Effort Metrics for summary revision.
  • Temporal Post-Editing Effort Metrics, such as:
    • Post-Edit Time measuring revision duration.
    • Pause-to-Word Ratio for cognitive effort.
    • Words-Per-Minute Post-Editing for productivity measurement.
  • ...
• Counter-Example(s):
  • Automatic Quality Metric, which measures output quality rather than editing effort.
  • User Preference Score, which captures subjective preference rather than objective effort.
  • Reading Comprehension Metric, which assesses understanding rather than revision effort.
• See: Effort Metric, Human Evaluation, Translation Edit Rate, Post-Editing, Productivity Measurement, User Study, Human-Computer Interaction Metric.

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