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Building parallel corpora through social network gaming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130047" target="_blank" >RIV/00216208:11320/12:10130047 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Building parallel corpora through social network gaming

  • Original language description

    Building training data is labor-intensive and presents a major obstacle to the advancement of Natural Language Processing (NLP) systems. A prime use of NLP technologies has been toward the construction machine translation systems. The most common form ofmachine translation systems are phrase based systems that require extensive training data. Building this training data is both expensive and error prone. Emerging technologies, such as social networks and serious games, offer a unique opportunity to change how we construct training data. These serious games, or games with a purpose, have been constructed for sentence segmentation, image labeling, and co-reference resolution. These games work on three levels: They provide entertainment to the players, the reinforce information the player might be learning, and they provide data to researchers. Most of these systems while well intended and well developed, have lacked participation. We present, a set of linguistically based games that aim

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Workshop on Collaborative Resource Development and Delivery

  • ISBN

    978-2-9517408-7-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    22-25

  • Publisher name

    European Language Resources Association

  • Place of publication

    ?stanbul, Turkey

  • Event location

    ?stanbul, Turkey

  • Event date

    May 21, 2012

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article