A Study of Translation Edit Rate with Targeted Human Annotation
Matthew Snover low, Bonnie J. Dorr, Richard Schwartz, Linnea Micciulla low, John Makhoul low
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Citation edge evidence
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→A Study of Translation Edit Rate with Targeted Human AnnotationLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→A Study of Translation Edit Rate with Targeted Human AnnotationLegacy edge — source detail unavailable
- A Study of Translation Edit Rate with Targeted Human Annotation→METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgme…Legacy edge — source detail unavailable
- A Study of Translation Edit Rate with Targeted Human Annotation→Automatic evaluation of machine translation quality using n-gram co-occurrence statisticsLegacy edge — source detail unavailable
- METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgme…→Automatic evaluation of machine translation quality using n-gram co-occurrence statisticsLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→Automatic evaluation of machine translation quality using n-gram co-occurrence statisticsLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgme…Legacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BERTScore: Evaluating Text Generation with BERTLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Prefix-Tuning: Optimizing Continuous Prompts for Generation | 2021 | 2,322 |
| BERTScore: Evaluating Text Generation with BERT | 2019 | 2,065 |
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Topics
| Natural Language Processing Techniques | Computer Science |
| Topic Modeling | Computer Science |
| Text Readability and Simplification | Computer Science |
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