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WMT Dependency Annotations 0.1

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194837" target="_blank" >RIV/00216208:11320/13:10194837 - isvavai.cz</a>

  • Result on the web

    <a href="http://nathangreen.com/wmtdata" target="_blank" >http://nathangreen.com/wmtdata</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    WMT Dependency Annotations 0.1

  • Original language description

    WMT annotations are described in the paper Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers presented at The Second Workshop on Hybrid Approaches to Translation (HyTra) at ACL 2013. The annotations are done on the analytically layer of the Czech to English Data set from the Workshop on Machine Translation 2012 data. The main purpose of this data set is to give researchers gold level dependency annotations for a data set that contains a gold level translations. This should allow researchers to analyze dependency annotations effect on machine translation.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    WMT-DEP-0.1

  • Technical parameters

    http://nathangreen.com/wmtdata

  • Economical parameters

    50 000 Kč

  • Owner IČO

    00216208

  • Owner name

    Univerzita Karlova v Praze