Building parallel corpora through social network gaming

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Building parallel corpora through social network gaming

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Building parallel corpora through social network gaming

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Workshop on Collaborative Resource Development and Delivery

ISBN

978-2-9517408-7-7

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

22-25

Název nakladatele

European Language Resources Association

Místo vydání

?stanbul, Turkey

Místo konání akce

?stanbul, Turkey

Datum konání akce

21. 5. 2012

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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