TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate
| Autor: | Matthew Snover, Bonnie J. Dorr, Nitin Madnani, Richard Schwartz |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Linguistics and Language
Machine translation Computer science business.industry Extension (predicate logic) computer.software_genre Translation (geometry) Language and Linguistics Paraphrase Rule-based machine translation Artificial Intelligence Metric (mathematics) Artificial intelligence Evaluation of machine translation Computational linguistics business computer Software Natural language processing |
| Zdroj: | Machine Translation. 23:117-127 |
| ISSN: | 1573-0573 0922-6567 |
| DOI: | 10.1007/s10590-009-9062-9 |
| Popis: | This paper describes a new evaluation metric, TER-Plus (TERp) for automatic evaluation of machine translation (MT). TERp is an extension of Translation Edit Rate (TER). It builds on the success of TER as an evaluation metric and alignment tool and addresses several of its weaknesses through the use of paraphrases, stemming, synonyms, as well as edit costs that can be automatically optimized to correlate better with various types of human judgments. We present a correlation study comparing TERp to BLEU, METEOR and TER, and illustrate that TERp can better evaluate translation adequacy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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