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Description
  • This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simple modification of the standard BLEU metric using a monolingual alignment of reference and test sentences. The alignment is computed as a minimum weighted maximum bipartite matching of the translated and the reference sentence words with respect to the relative edit distance of the word prefixes and suffixes. The aligned words are included in the n-gram precision computation with a penalty proportional to the matching distance. The proposed tBLEU metric is designed to be more tolerant to errors in inflection, which usually does not effect the understandability of a sentence, and therefore be more suitable for measuring quality of translation into morphologically richer languages.
  • This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simple modification of the standard BLEU metric using a monolingual alignment of reference and test sentences. The alignment is computed as a minimum weighted maximum bipartite matching of the translated and the reference sentence words with respect to the relative edit distance of the word prefixes and suffixes. The aligned words are included in the n-gram precision computation with a penalty proportional to the matching distance. The proposed tBLEU metric is designed to be more tolerant to errors in inflection, which usually does not effect the understandability of a sentence, and therefore be more suitable for measuring quality of translation into morphologically richer languages. (en)
Title
  • Tolerant BLEU: a Submission to the WMT14 Metrics Task
  • Tolerant BLEU: a Submission to the WMT14 Metrics Task (en)
skos:prefLabel
  • Tolerant BLEU: a Submission to the WMT14 Metrics Task
  • Tolerant BLEU: a Submission to the WMT14 Metrics Task (en)
skos:notation
  • RIV/00216208:11320/14:10289388!RIV15-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 50689
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10289388
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • task; metrics; wmt14; submission; bleu; tolerant (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0291CDA2FB27]
http://linked.open...v/mistoKonaniAkce
  • Baltimore, MD, USA
http://linked.open...i/riv/mistoVydani
  • Baltimore, MD, USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Ninth Workshop on Statistical Machine Translation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pecina, Pavel
  • Libovický, Jindřich
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Association for Computational Linguistics
https://schema.org/isbn
  • 978-1-941643-17-4
http://localhost/t...ganizacniJednotka
  • 11320
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