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