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Tolerant BLEU: a Submission to the WMT14 Metrics Task

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289388" target="_blank" >RIV/00216208:11320/14:10289388 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tolerant BLEU: a Submission to the WMT14 Metrics Task

  • Original language 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 weightedmaximum 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 tothe 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Ninth Workshop on Statistical Machine Translation

  • ISBN

    978-1-941643-17-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    409-413

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Baltimore, MD, USA

  • Event location

    Baltimore, MD, USA

  • Event date

    Jun 26, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article