Machine Translation Metric

A Machine Translation Metric is a metric that evaluates the performance of machine translation systems.

• Example(s):
  • BLEU Metric,
  • Meteor Metric,
  • NIST Metric,
  • ROUGE Metric.
  • …
• Counter-Example(s):
  • Distance Metric.
• See: Performance Metric, Machine Translation System, Natural Language Processing System, Language Model, Word Error Rate.

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References

2014

• (Denkowski & Lavie, 2014) ⇒ Michael J. Denkowski, and Alon Lavie. (2014). “Meteor Universal: Language Specific Translation Evaluation for Any Target Language". In: Proceedings of the Ninth Workshop on Statistical Machine Translation (WMT@ACL 2014). DOI:10.3115/v1/W14-3348.

2004

• (Lin, 2004) ⇒ Chin-Yew Lin. (2004)."Looking for a Few Good Metrics: Automatic Summarization Evaluation - How Many Samples Are Enough?". In: Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, Question Answering and Summarization (NTCIR 2004).

2002

• (Papineni et al., 2002) ⇒ Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. (2002). “Bleu: A Method for Automatic Evaluation of Machine Translation.” In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002). DOI:10.3115/1073083.1073135.

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