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SLTev: Comprehensive Evaluation of Spoken Language Translation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440518" target="_blank" >RIV/00216208:11320/21:10440518 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2021.eacl-demos.9" target="_blank" >https://aclanthology.org/2021.eacl-demos.9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2021.eacl-demos.9" target="_blank" >10.18653/v1/2021.eacl-demos.9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SLTev: Comprehensive Evaluation of Spoken Language Translation

  • Original language description

    Automatic evaluation of Machine Translation(MT) quality has been investigated over several decades. Spoken Language Translation (SLT), especially when simultaneous, needs to consider additional criteria and does not have a standard evaluation procedure and a widely used toolkit. To fill the gap, we introduce SLTev, an open-source tool for assessing SLT in a comprehensive way. SLTev reports the quality, latency, and stability of an SLT candidate output based on the time-stamped transcript and reference translation into a target language. For quality, we rely on sacreBLEU which provides MT evaluation measures such as chrF or BLEU. For latency, we propose two new scoring techniques. For stability, we extend the previously defined measures with a normalized Flicker in our work. We also propose a new averaging of older measures. A preliminary version of SLTev was used in the IWSLT 2020 SHARED TASK. Moreover, a growing collection of test datasets directly accessible by SLTev are provided for system evaluati

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • 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 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations

  • ISBN

    978-1-954085-05-3

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    71-79

  • Publisher name

    Association for Computational Linguistics (ACL)

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Online

  • Event date

    Apr 19, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article