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Description
  • This paper describes Parmesan, our submission to the 2014 Workshop on Statistical Machine Translation (WMT) metrics task for evaluation English-to-Czech translation. We show that the Czech Meteor Paraphrase tables are so noisy that they actually can harm the performance of the metric. However, they can be very useful after extensive filtering in targeted paraphrasing of Czech reference sentences prior to the evaluation. Parmesan first performs targeted paraphrasing of reference sentences, then it computes the Meteor score using only the exact match on~these new reference sentences. It shows significantly higher correlation with human judgment than Meteor on the WMT12 and WMT13 data.
  • This paper describes Parmesan, our submission to the 2014 Workshop on Statistical Machine Translation (WMT) metrics task for evaluation English-to-Czech translation. We show that the Czech Meteor Paraphrase tables are so noisy that they actually can harm the performance of the metric. However, they can be very useful after extensive filtering in targeted paraphrasing of Czech reference sentences prior to the evaluation. Parmesan first performs targeted paraphrasing of reference sentences, then it computes the Meteor score using only the exact match on~these new reference sentences. It shows significantly higher correlation with human judgment than Meteor on the WMT12 and WMT13 data. (en)
Title
  • Parmesan: Meteor without Paraphrases with Paraphrased References
  • Parmesan: Meteor without Paraphrases with Paraphrased References (en)
skos:prefLabel
  • Parmesan: Meteor without Paraphrases with Paraphrased References
  • Parmesan: Meteor without Paraphrases with Paraphrased References (en)
skos:notation
  • RIV/00216208:11320/14:10289359!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 35794
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10289359
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • references; paraphrased; with; paraphrases; without; meteor; parmesan (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9C58626B04F5]
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...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Barančíková, Petra
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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