Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain
By Zdenka Uresová, Jan Hajic, Pavel Pecina, Ondrej Dusek. 2014
6 citations recorded by the source corpus.
This paper presents development and test sets for machine translation of search queries in cross-lingual information retrieval in the medical domain. The data consists of the total of 1,508 real user queries in English translated to Czech, German, and French. We describe the translation and review process involving medical professionals and present a baseline experiment where our data sets are used for tuning and evaluation of a machine translation system.
Subfields: Artificial Intelligence, Molecular Biology, Natural Language Processing
How researchers see this paper
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In Artificial Intelligence
- Philipp Koehn
- Ondrej Bojar
- Lucia Specia
- Graham Neubig
- Matt Post
- Barry Haddow
- Rico Sennrich
- Christof Monz
In Molecular Biology
- Lucia Specia
- Ondrej Bojar
- Philipp Koehn
- Barry Haddow
- Christof Monz
- Matt Post
- Yvette Graham
- Varvara Logacheva
In Natural Language Processing
- Philipp Koehn
- Lucia Specia
- Ondrej Bojar
- Barry Haddow
- Matt Post
- Christof Monz
- Rico Sennrich
- Graham Neubig
Citations in the corpus
- Findings of the 2014 Workshop on Statistical Machine Translation (2014, methodology): “The data package (Khresmoi Summary Translation Test Data 1.1) is now available from the LINDAT/CLARIN repository 17 and more de-15 tails can be found in Zdeˇnka Ureˇsov´a and Pecina (2014).”