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Using a Cross-Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems
Nikolaos Katris
|
Richard Sutcliffe
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Theodore Kalamboukis
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Paper Details:
Month: May
Year: 2016
Location: Portorož, Slovenia
Venue:
LREC |
Citations
URL
No Citations Yet
https://www.google.com/
http://w3techs.com/technologies/overview/contentllangu
http://www.statmt.org/moses/
https://kantanmt.com/
https://www.nlm.nih.gov/pubs/factsheets/medline.html
http://www.ncbi.nlm.nih.gov/pubmed
https://www.nlm.nih.gov/mesh/
http://qt21.metashare.ilsp.gr/repository/browse/qtlp-
http://nlp.ilsp.gr/redmine/projects/ilsp-fc
http://srv-cngl.computing.dcu.ie/panacea-soaplab2-
http://lucene.apache.org/solr/
Field Of Study
Task
Information Retrieval
Machine Translation
Language
Multilingual
English
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